Objective: to evaluate CANLPH score and systemic immune inflammation index (SII) in patients with symptomatic rheumatic mitral stenosis (MS) undergoing percutaneous mitral balloon valvuloplasty (PMBV). -/- Methods: 62 patients who underwent PMBV in our clinic between 2018 and 2021 were included retrospectively. The patients were divided into 2 groups according to echo score. The CANLPH score was calculated from the cut-off values of C-reactive protein to albumin ratio (CAR), neutrophil to lymphocyte ratio (NLR) and platelet to hemoglobin ratio (PHR), determined (...) with the Youden index and SII by the formula platelet x neutrophil/lymphocyte. P <0.05 was considered statistically significant. -/- Results: The mean age of the patients was 44.5±10.4 years (40 female, 64.5%). The mean values of SII and CANLPH scores were higher in the Echo score >8 group (p <0.001, both). The mean mitral gradient before and after PMBV was 12.6±5.7mm Hg and 5.0±2.4 mm Hg, and the mean valve area was 1.12±0.27 cm2 and 1.85±0.29 cm2. A statistically significant and negative correlation was observed between the gradient decrease after the procedure and the CANLPH score and SII (r=-0.426, p=0.001 and r=-0.418, p=0.001, respectively). In receiver operating characteristic (ROC) curve analysis, it was concluded that the ability of CANPLH score to predict the higher Echo scores was noninferior to SII with an area under curve (AUC:0.820 (0.701-0.906) and AUC:0.786 (0.664-0.880), z statistics 0.576 and p=0.564. -/- Conclusion: SII and CANLPH scores are correlated with Echo score. A significant negative relationship was found with both biomarkers and gradient decrease after the PMBV. (shrink)

In this paper we focus on what is referred to as the ‘mineness’ of experience, that is, the intimate familiarity we have with our own thoughts, perceptions, and emotions. Most accounts characterize mineness in terms of an experiential dimension, the first-person givenness of experience, that is subsumed under the notion of minimal self-consciousness or a ‘minimal self’. We argue that this account faces problems and develop an alternative account of mineness in terms of the coherence of experiences with what we (...) label an ‘embodied biography’. Building on a near consensus among consciousness researchers over the function of consciousness as integrating infor- mation, we argue that the phenomenology of mineness consists in the absence of any further thought on top of the experience itself. Finally we argue that this non-phenomenological account of mineness fits well with existing data on pathologies of mineness such as delusions of thought insertion. (shrink)

Data mining possess a significant threat to ethics, privacy, and legality, especially when we consider the fact that data mining makes it difficult for an individual or consumer (in the case of a company) to control accessibility and usage of his data. Individuals should be able to control how his/ her data in the data warehouse is being access and utilize while at the same time providing enabling environment which enforces legality, privacy and ethicality on data scientists, or data engineer (...) during data mining process. This paper review issues of legality, privacy, and ethicality in data mining, review processes of Data mining, and also proposes solution to current ethical and privacy issue in data mining. It introduces a new method which enforces data mining without infringing on the privacy of individual or consumer whose data are being used. The sole aim of this paper is to propose a new method of mining data which restricts scientists within the constraints of legality, privacy, and ethicality. (shrink)

In this paper we look at the manual analysis of arguments and how this compares to the current state of automatic argument analysis. These considerations are used to develop a new approach combining a machine learning algorithm to extract propositions from text, with a topic model to determine argument structure. The results of this method are compared to a manual analysis.

In recent years, neuroscience has begun to transform itself into a “big data” enterprise with the importation of computational and statistical techniques from machine learning and informatics. In addition to their translational applications such as brain-computer interfaces and early diagnosis of neuropathology, these tools promise to advance new solutions to longstanding theoretical quandaries. Here I critically assess whether these promises will pay off, focusing on the application of multivariate pattern analysis (MVPA) to the problem of reverse inference. I argue that (...) MVPA does not inherently provide a new answer to classical worries about reverse inference, and that the method faces pervasive interpretive problems of its own. Further, the epistemic setting of MVPA and other decoding methods contributes to a potentially worrisome shift towards prediction and away from explanation in fundamental neuroscience. (shrink)

In the end of the course the student will be able to: • Understand the functioning of data mining tools and their contributions to managerial professions • Master the use of dynamic search tools on the open web and on the dark web. • Use the proper tools according to the objectives sought • Master the latest trends and innovations in Business Analytics • Analyze the opportunities offered in terms of data mining by artificial intelligence and IoT.

Scalability, efficiency, and security had been a persistent problem over the years in data mining, several techniques had been proposed and implemented but none had been able to solve the problem of scalability, efficiency and security from cloud computing. In this research, we solve the problem scalability, efficiency and security in data mining over cloud computing by using a restful web services and combination of different technologies and tools, our model was trained by using different machine learning algorithm, and finally (...) using different validation and cross-validation methods to compare and validate our results. We build, train, test and deploy our model by restful API services which can be called through an endpoint, and with very high accuracy and huge success. (shrink)

What does it take for a subject to experience a personal memory as being her own? According to Fernández’ (2019) model of endorsement, this particular phenomenal quality of our memories, their “sense of mineness”, can be explained in terms of the experience of the mnemonic content as veridical. In this article, I criticize this model for two reasons: (a) the evidence that is used by Fernández to ground his theoretical proposal is dubious; and more importantly, (b) the endorsement model does (...) not accommodate many non-pathological everyday memories that preserve their sense of mineness, but whose veridicality is explicitly denied, suspected, not automatically endorsed, or neither denied nor endorsed. Finally, I sketch two alternative explanations: one also problematic, the other one more promising, and present some normative advantages of the latter. This also displays the undesirability of the endorsement model from a normative perspective. (shrink)

Big Data is a large-sized and complex dataset, which cannot be managed using traditional data processing tools. Mining process of big data is the ability to extract valuable information from these large datasets. Association rule mining is a type of data mining process, which is indented to determine interesting associations between items and to establish a set of association rules whose support is greater than a specific threshold. The classical association rules can only be extracted from binary data where an (...) item exists in a transaction, but it fails to deal effectively with quantitative attributes, through decreasing the quality of generated association rules due to sharp boundary problems. In order to overcome the drawbacks of classical association rule mining, we propose in this research a new neutrosophic association rule algorithm. The algorithm uses a new approach for generating association rules by dealing with membership, indeterminacy, and non-membership functions of items, conducting to an efficient decision-making system by considering all vague association rules. To prove the validity of the method, we compare the fuzzy mining and the neutrosophic mining. The results show that the proposed approach increases the number of generated association rules. (shrink)

Ever since the era of internet had ushered in cloud computing, there had been increase in the demand for the unlimited data available through cloud computing for data analysis, pattern recognition and technology advancement. With this also bring the problem of scalability, efficiency and security threat. This research paper focuses on how data can be dynamically mine in real time for pattern detection in a secure cloud computing environment using combination of decision tree algorithm and Random Forest over a restful (...) Application Programming Interface (API). We are able to successfully Implement data mining on cloud computing bypassing or avoiding direct interaction with data warehouse and without any terminal involve by using combination of IBM Cloud storage facility, Amazing Web Service, Application Programming Interface and Window service along with a decision tree and Random Forest algorithm for our classifier. We were able to successfully bypass direct connection with the data warehouse and cloud terminal with 94% accuracy in our model. (shrink)

Scalability, efficiency, and security had been a persistent problem over the years in data mining, several techniques had been proposed and implemented but none had been able to solve the problem of scalability, efficiency and security from cloud computing. In this research, we solve the problem scalability, efficiency and security in data mining over cloud computing by using a restful web services and combination of different technologies and tools, our model was trained by using different machine learning algorithm, and finally (...) using different validation and cross-validation methods to compare and validate our results. We build, train, test and deploy our model by restful API services which can be called through an endpoint, and with very high accuracy and huge success. (shrink)

Patients suffering from depersonalization complain of feeling detached from their body, their mental states, and actions or even from themselves. In this chapter, I argue that depersonalization consists in the lack of a phenomenal feature that marks my experiences as mine, which is usually called “mineness,” and that the study of depersonalization constitutes a neglected yet incomparable probe to assess empirically the scope, role, and even the nature of mineness. Here is how I will proceed. After describing depersonalization (§2) and (...) arguing that it involves a lack of mineness (§3) I will confront a series of objections (§4). I will then spell out what depersonalization can teach us about the scope of mineness (§5), about its role and psychological function (§6) and even about its nature (§7). (shrink)

Wikipedia is a goldmine of information; not just for its many readers, but also for the growing community of researchers who recognize it as a resource of exceptional scale and utility. It represents a vast investment of manual effort and judgment: a huge, constantly evolving tapestry of concepts and relations that is being applied to a host of tasks. This article provides a comprehensive description of this work. It focuses on research that extracts and makes use of the concepts, relations, (...) facts and descriptions found in Wikipedia, and organizes the work into four broad categories: applying Wikipedia to natural language processing; using it to facilitate information retrieval and information extraction; and as a resource for ontology building. The article addresses how Wikipedia is being used as is, how it is being improved and adapted, and how it is being combined with other structures to create entirely new resources. We identify the research groups and individuals involved, and how their work has developed in the last few years. We provide a comprehensive list of the open-source software they have produced. (shrink)

According to the PubMed resource from the U.S. National Library of Medicine, over 750,000 scientific articles have been published in the ~5000 biomedical journals worldwide in the year 2007 alone. The vast majority of these publications include results from hypothesis-driven experimentation in overlapping biomedical research domains. Unfortunately, the sheer volume of information being generated by the biomedical research enterprise has made it virtually impossible for investigators to stay aware of the latest findings in their domain of interest, let alone to (...) be able to assimilate and mine data from related investigations for purposes of meta-analysis. While computers have the potential for assisting investigators in the extraction, management and analysis of these data, information contained in the traditional journal publication is still largely unstructured, free-text descriptions of study design, experimental application and results interpretation, making it difficult for computers to gain access to the content of what is being conveyed without significant manual intervention. In order to circumvent these roadblocks and make the most of the output from the biomedical research enterprise, a variety of related standards in knowledge representation are being developed, proposed and adopted in the biomedical community. In this chapter, we will explore the current status of efforts to develop minimum information standards for the representation of a biomedical experiment, ontologies composed of shared vocabularies assembled into subsumption hierarchical structures, and extensible relational data models that link the information components together in a machine-readable and human-useable framework for data mining purposes. (shrink)

A recent systematic review of Machine Learning (ML) approaches to health data, containing over 100 studies, found that the most investigated problem was mental health (Yin et al., 2019). Relatedly, recent estimates suggest that between 165,000 and 325,000 health and wellness apps are now commercially available, with over 10,000 of those designed specifically for mental health (Carlo et al., 2019). In light of these trends, the present chapter has three aims: (1) provide an informative overview of some of the recent (...) work taking place at the intersection of text mining and mental health so that we can (2) highlight and analyze several pressing ethical issues that are arising in this rapidly growing field and (3) suggest productive directions for how these issues might be better addressed within future interdisciplinary work to ensure the responsible development of text mining approaches in psychology generally, and in mental health fields, specifically. In Section 1, we review some of the recent literature on text-mining and mental health in the contexts of traditional experimental settings, social media, and research involving electronic health records. Then, in Section 2, we introduce and discuss ethical concerns that arise before, during, and after research is conducted. Finally, in Section 3, we offer several suggestions about how ethical oversight of text-mining research might be improved to be more responsive to the concerns mapped out in Section 2. (shrink)

I aim to show that, contrary to standard deflationary or eliminativist theories of the self, we can argue from the phenomenology of pre-reflective self-awareness for the thesis that subjects of experience are substances. The phenomenological datum of subjectivity points to a specific metaphysical structure of our experience, that is, towards the substance view rather than the bundle or the minimal self view. Drawing on modern philosophical accounts of pre-reflective self-awareness, mineness and (self-) acquaintance, I will argue that a subject is (...) aware of being the one individual who has many experiences and that it is revealed to the subject that it is the bearer of experiences and their unifier. The subject is present in pre-reflective awareness and known as the subject of experiences, and even this minimal self-awareness gives us reason to favour the substance view. Thus, one can demonstrate how the debates on the phenomenology of pre-reflective self-awareness and the metaphysics of selfhood intersect. (shrink)

The necessary condition for the reception of art is aesthetic distance, which paradoxically relies on direct experience: one has to be there in front of the artwork, has to live the experience. Therefore, the current pandemic and the practice of social distancing, which attempts to slow it down, is a serious challenge for the arts. This text analyses the ways in which artists and the institutions which mediate art react to the conditions caused by the pandemic. I will present some (...) creative practices which turn the adversity of the pandemic into an asset (the White Cuib Facebook project and the series by Sándor Bartha). So, there are projects which mine the gap (social distancing) and use it creatively. Then I will analyze the practice of some museums and galleries, focusing on the positive examples (e.g., the “Stay at Home Museum”) as well as on the difficulties. The examined cases will reveal the fact that while the artists were able to react in creative ways to the constraints and to create artworks which point beyond the contextual value, art institutions generally attempted merely to get through this period, hoping that they would soon be able to get back to life as usual. (shrink)

Historic preservation, which is a vital act for conveying people’s understanding of the past, such as events, ideas, and places to the future, allows people to preserve history for future generations. Additionally, since the historic properties are currently concentrated in urban areas, an urban-oriented approach will contribute to the issue. Hence, public awareness is a key factor that paves the way for this conservation. Public history, a history with a public audience and special methods of representation, can serve society in (...) this regard. Historical video games, which get their game objectives from the past, can be considered a form of public history, raising people’s awareness and letting them gain historical experience. While plenty of studies focused on this content with various approaches, this study takes the topic under consideration with a player-oriented focus. The research uses the Steam video game digital distribution service database to explore the existing historical games based on their genre, player scale, dimension, VR compatibility attributes, and player rating. The database includes 1,148 games published between 2002 and 2022, filtered as historical by Steam tags and sorted by player review. For the data collection, the study uses the Octoparse web scraping tool for data extraction, and for the data analysis, it uses RapidMiner Studio data mining software. The study aims to provide a framework applicable to the development of commercially playable historical video games contributing to heritage preservation by raising public awareness in the context of public history. (shrink)

When you have a conscious experience—such as feeling pain, watching the sunset, or thinking about your loved ones—are you aware of the experience as your own, even when you do not reflect on, think about, or attend to it? Let us say that an experience has “mineness” just in case its subject is aware of it as her own while she undergoes it. And let us call the view that all ordinary experiences have mineness “typicalism.” Recently, Guillot has offered a (...) novel argument for typicalism by leveraging the relation between self-knowledge and self-awareness. She starts by arguing that all ordinary experiences give their subjects immediate justification to believe that their experiences are their own. She then argues that this can be explained by typicalism. In this paper, I argue that her argument fails. I start by clarifying the notion of mineness and giving more details about her argument. I then explain why her argument fails by raising doubts about whether typicalism explains the target explanandum. I close by considering some implications of our discussion for self-knowledge. (shrink)

Abstract: Idea mining is an interesting field in the area of information retrieval and it is increasingly becoming important asset for decision makers. Huge volumes of high quality data from various sources such as scanners, mobile phones, loyalty cards, the web, and social media platforms presents enormous opportunity for organization to achieve success in their businesses. It is possible to achieve this by properly analysing data to reveal feature patterns; hence decision makers can capitalize upon the resulting ideas from wealth (...) of information available. Idea mining helps managers to use their time efficiently by grasping ideas from a huge amount of unstructured data with text mining, instead of reading through page by page, it also helps to avoid the danger of overlooking data with useful ideas. The main objective of this survey article is to provide assessment on a number of successful text mining and text classification tools combined with idea mining measures to extract the idea from texts. (shrink)

"Data mining is not an invasion of privacy because access to data is only by machines, not by people": this is the argument that is investigated here. The current importance of this problem is developed in a case study of data mining in the USA for counterterrorism and other surveillance purposes. After a clarification of the relevant nature of privacy, it is argued that access by machines cannot warrant the access to further information, since the analysis will have to be (...) made either by humans or by machines that understand. It concludes that the current data mining violates the right to privacy and should be subject to the standard legal constraints for access to private information by people. (shrink)

Because obituaries are succinct and explicitly intended to summarize their subjects’ lives, they may be expected to include only the features that the author finds most salient but also to signal to others in the community the socially-recognized aspects of the deceased’s character. We begin by reviewing studies 1 and 2, in which obituaries were carefully read and labeled. We then report study 3, which further develops these results with a semi-automated, large-scale semantic analysis of several thousand obituaries. Geography, gender, (...) and elite status all turn out to be associated with the virtues and values associated with the deceased. (shrink)

One of the negative legacies of the apartheid era is a markedly skewed mining sector that favours the established companies, and almost completely neglects small-scale mining enterprises. Though a major source of revenue for South Africa(SA), the current state of the mining sector does not directly benefit the previously disadvantaged who dominate small-scale mining. The aim of this study is to explore the support structures and success factors relevant to small scale mining entrepreneurs in South Africa. To achieve this end, (...) the qualitative research approach was utilized to collect and analyze the data. The results affirmed the availability of a comprehensive support structure for aspiring small-scale mining entrepreneurs. A number of factors not limited to having a marketing ethos, requisite business knowledge, possession of appropriate equipment, and the ability to mine effectively and efficiently were reported as being central to successful small-scale mining. Furthermore, it is acknowledged that having passion and the right work ethics worked in favour of successful small-scale entrepreneurs. (shrink)

At the heart of Mizrahi’s project lies a sociological narrative concerning the recent history of philosophers’ negative attitudes towards scientism. Critics (e.g. de Ridder (2019), Wilson (2019) and Bryant (2020)), have detected various empirical inadequacies in Mizrahi’s methodology for discussing these attitudes. Bryant (2020) points out one of the main pertinent methodological deficiencies here, namely that the mere appearance of the word ‘scientism’ in a text does not suffice in determining whether the author feels threatened by it. Not all philosophers (...) use the term in ‘inherently negative’ (29) or pejorative ways. In this paper, I not only corroborate Bryant’s critical claim, but argue that Mizrahi’s response to this part of Bryant’s objection is inadequate. (shrink)

Uptake is typically understood as the hearer’s recognition of the speaker’s communicative intention. According to one theory of uptake, the hearer’s role is merely as a ratifier. The speaker, by expressing a particular communicative intention, predetermines what kind of illocutionary act she might perform. Her hearer can then render this act a success or a failure. Thus the hearer has no power over which act could be performed, but she does have some power over whether it is performed. Call this (...) the ratification theory of uptake. Several philosophers have recently endorsed an alternative theory of uptake, according to which the hearer can determine the nature of the act the speaker performs. According to this theory, if the hearer regards an utterance as illocutionary act y, then it is act y, even if the speaker intended to perform act x. Call this the constitution theory of uptake. The purported advantage of this theory is that it identifies a common but underanalysed way in which speakers can be silenced. I argue that despite its initial intuitive pull, the constitution theory of uptake should be rejected. It is incompatible with ordinary intuitions about speech, it entails a conceptual impossibility, and it has unsavoury political implications, entailing that marginalised speakers barely qualify as agents. (shrink)

Educational Data Mining (EDM) is a new paradigm aiming to mine and extract knowledge necessary to optimize the effectiveness of teaching process. With normal educational system work it’s often unlikely to accomplish fine system optimizing due to large amount of data being collected and tangled throughout the system. EDM resolves this problem by its capability to mine and explore these raw data and as a consequence of extracting knowledge. This paper describes several experiments on real educational data wherein the effectiveness (...) of Data Mining is explained in migration the educational data into knowledge. The experiments goal at first to identify important factors of teacher behaviors influencing student satisfaction. In addition to presenting experiences gained through the experiments, the paper aims to provide practical guidance of Data Mining solutions in a real application. (shrink)

Successful biomedical data mining and information extraction require a complete picture of biological phenomena such as genes, biological processes, and diseases; as these exist on different levels of granularity. To realize this goal, several freely available heterogeneous databases as well as proprietary structured datasets have to be integrated into a single global customizable scheme. We will present a tool to integrate different biological data sources by mapping them to a proprietary biomedical ontology that has been developed for the purposes of (...) making computers understand medical natural language. (shrink)

Motivation: • Breaking barriers in publishing demands a proactive attitude • Open data, open review and open dialogue in making social sciences plausible .

review of Béatrice Longuenesse latest book on Kant and self-consciousness I, Me, Mine (Oxford 2017).

Abstract. In this article we developed scientific and applied foundations of commercialization of the nature-resource potential of anthropogenic objects, on the example of exhausted mines. It is determined that the category of “anthropogenic object” can be considered in a narrow-applied sense, as specific anthropogenic objects to ensure the target needs, and in a broad theoretical sense, meaning everything that is created and changed by human influence, that is the objects of both artificial and natural origin. It was determined that (...) problems of commercialization of the natural-resource potential of anthropogenic objects are most often considered by researchers for specific objects, without having complex methodological coverage from the point of view of combining environmental, technical, economic and managerial components. When studying the substantiation of the scientific base, the authors confirmed the feasibility of the commercialization of natural-resource potential of anthropogenic objects on the example of a number of theoretical scientific studies in reclamation, reconstruction, recreation, remediation, restoration of biological productivity and economic value of land disturbed by economic activity. The considered examples of exhausted mines in the 21st century in the USA, Canada, Germany, Romania, and Poland indicate a wide range of opportunities for their commercialization. The study of the potential for commercialization of exhausted mines in the post-Soviet countries testified to the underused reserves for the commercialization of their nature-resource potential and their high potential for further development. The authors proposed the identification of anthropogenic objects on the basic livelihood spheres of society. There were identified the main system (natural, biological, technical, economic, social, managerial) and structural (subjects, trends, threats, risks, problems, challenges) factors of diagnosing the state of an anthropogenic object. A set of measures has been developed for commercialization of an anthropogenic object in functional and production activities, product policy, financial and investment spheres, pricing and sales policies, promotion, management and determination of property rights. Recommendations were provided on optimizing the management decision-making process based on a set of positivistic development principles, methods, and management functions. The study allows international organizations, state and local authorities, territorial communities, owners and potential investors to see new opportunities and make mutually beneficial decisions on the rational use of the nature-resource potential of anthropogenic objects. (shrink)

Higher education institutions are mining and analyzing student data to effect educational, political, and managerial outcomes. Done under the banner of “learning analytics,” this work can—and often does—surface sensitive data and information about, inter alia, a student’s demographics, academic performance, offline and online movements, physical fitness, mental wellbeing, and social network. With these data, institutions and third parties are able to describe student life, predict future behaviors, and intervene to address academic or other barriers to student success (however defined). Learning (...) analytics, consequently, raise serious issues concerning student privacy, autonomy, and the appropriate flow of student data. We argue that issues around privacy lead to valid questions about the degree to which students should trust their institution to use learning analytics data and other artifacts (algorithms, predictive scores) with their interests in mind. We argue that higher education institutions are paradigms of information fiduciaries. As such, colleges and universities have a special responsibility to their students. In this article, we use the information fiduciary concept to analyze cases when learning analytics violate an institution’s responsibility to its students. (shrink)

The Body Ownership Thesis states that each person owns her body. I address a prominent objection, the Generation Problem: the Body Ownership Thesis apparently implies that parents own their children: as we own the fruit of our property, if a parent owns her own body, she must own her child and her child's body. I argue that a person does not own the fruit of her property when that fruit is a person or the body of a person. Persons have (...) conclusive title to their bodies, but only defeasible title to the fruits of their bodies. (shrink)

A classic and fraught question in the philosophy of film is this: when you watch a film, do you experience yourself in the world of the film, observing the scenes? In this paper, we argue that this subject of film experience is sometimes a mere impersonal viewpoint, sometimes a first-personal but unindexed subject, and sometimes a particular, indexed subject such as the viewer herself or a character in the film. We first argue for subject pluralism: there is no single answer (...) to the question of what kind of subjectivity, if any, is mandated across film sequences. Then, we defend unindexed subjectivity: at least sometimes, films mandate an experience that is first-personal but not tied to any particular person, not even to the viewer. Taken together, these two theses allow us to see film experience as more varied than previously appreciated and to bridge in a novel way the cognition of film with the exercise of other imaginative capacities, such as mindreading and episodic recollecting. (shrink)

Abstract—Breast cancer is considered the second most common cancer in women compared to all other cancers. It is fatal in less than half of all cases and is the main cause of mortality in women. It accounts for 16% of all cancer mortalities worldwide. Early diagnosis of breast cancer increases the chance of recovery. Data mining techniques can be utilized in the early diagnosis of breast cancer. In this paper, an academic experimental breast cancer dataset is used to perform a (...) data mining practical experiment using the Waikato Environment for Knowledge Analysis (WEKA) tool. The WEKA Java application represents a rich resource for conducting performance metrics during the execution of experiments. Pre-processing and feature extraction are used to optimize the data. The classification process used in this study was summarized through thirteen experiments. Additionally, 10 experiments using various different classification algorithms were conducted. The introduced algorithms were: Naïve Bayes, Logistic Regression, Lazy IBK (Instance-Bases learning with parameter K), Lazy Kstar, Lazy Locally Weighted Learner, Rules ZeroR, Decision Stump, Decision Trees J48, Random Forest and Random Trees. The process of producing a predictive model was automated with the use of classification accuracy. Further, several experiments on classification of Wisconsin Diagnostic Breast Cancer and Wisconsin Breast Cancer, were conducted to compare the success rates of the different methods. Results conclude that Lazy IBK classifier k-NN can achieve 98% accuracy among other classifiers. The main advantages of the study were the compactness of using 13 different data mining models and 10 different performance measurements, and plotting figures of classifications errors. (shrink)

Small-scale mining entrepreneurs are confronted with a variety of challenges during both the start-up and growth phase of their businesses not only in South Africa, but all over the world. Therefore, losing prospects available to them. The aim of this paper was to explore prospects and challenges faced by small scale mining entrepreneurs in South Africa (SA). To attain this end, a qualitative research paradigm was instituted for both data collection and analysis. The findings of this study concur with the (...) literature, that there are indeed plenty of prospects available to small scale mining entrepreneurs. However, the most outstanding prospects was free training and funding. Nonetheless, the receptiveness of these prospects is somehow conditional. -/- . (shrink)

This chapter addresses the morality of two types of national security electronic surveillance (SIGINT) programs: the analysis of communication “metadata” and dragnet searches for keywords in electronic communication. The chapter develops a standard for assessing coercive government action based on respect for the autonomy of inhabitants of liberal states and argues that both types of SIGINT can potentially meet this standard. That said, the collection of metadata creates opportunities for abuse of power, and so judgments about the trustworthiness and competence (...) of the government engaging in the collection must be made in order to decide whether metadata collection is justified in a particular state. Further, the moral standard proposed has a reflexive element justifying adversary states’ intelligence collection against one another. Therefore, high-tech forms of SIGINT can only be justified at the cost of justifying cruder versions of signals intelligence collection practiced by a state’s less-advanced adversaries. (shrink)

Scalability, efficiency, and security had been a persistent problem over the years in data mining, several techniques had been proposed and implemented but none had been able to solve the problem of scalability, efficiency and security from cloud computing. In this research, we solve the problem scalability, efficiency and security in data mining over cloud computing by using a restful web services and combination of different technologies and tools, our model was trained by using different machine learning algorithm, and finally (...) using different validation and cross-validation methods to compare and validate our results. We build, train, test and deploy our model by restful API services which can be called through an endpoint, and with very high accuracy and huge success. (shrink)

In my article "Controlling the noise," I present a phenomenological investigation of bodily experience in anorexia nervosa. Turning to descriptions of those who have suffered from AN, which repeatedly detail the experience of finding their bodies threatening, out of control and noisy, I suggest that the phenomenological conceptions of body-as-object, body-as-subject and visceral body can help us unpack the complex bodily experience of AN throughout its various stages. My claim is that self-starvation is enacted by a bodily-subject who wishes to (...) quell or reassert authority over a visceral body whose demands and needs she finds threatening to her autonomy.The relationship between body-as-object and... (shrink)

El sitio web de una organización cultural proporciona una herramienta fundamental para cumplir con dos de sus objetivos básicos: difundir y democratizar la cultura. Se está iniciando una nueva fase del capitalismo cultural. Antes se generaba riqueza sobre bienes tangibles, pero en el futuro la riqueza se generará esencialmente a través de la producción simbólica. Una fuerte revolución tecnológica reduce (o elimina) a los intermediarios entre creadores y consumidores culturales. La caída de la intermediación implica romper barreras y democratizar el (...) acceso a la creación. El sitio web del Teatro Solís es una de las principales formas de comunicación con su entorno. Conocer la forma en que los usuarios de una organización utilizan la web es clave para comprender si se está brindando el servicio que se requiere, si los productos o servicios son fácilmente encontrados y, en definitiva, hasta qué punto se cumple con el objetivo que la organización pretende lograr por medio de su presencia en la web. En este trabajo se presenta el análisis de logfiles del Teatro Solís, implementado un sessionizer con timeout parametrizable, que elimina software robots (crawlers), asigna un identificador a cada sesión y genera datos de resumen del proceso de sesionalización. (shrink)

A huge amount of data is being generated everyday through different transactions in industries, social networking, communication systems etc. Big data is a term that represents vast volumes of high speed, complex and variable data that require advanced procedures and technologies to enable the capture, storage, management, and analysis of the data. Big data analysis is the capacity of representing useful information from these large datasets. Due to characteristics like volume, veracity, and velocity, big data analysis is becoming one of (...) the most challenging research problems. Semantic analysis is method to better understand the implied or practical meaning of the input dataset. It is mostly applied with ontology to analyze content mainly in web resources. This field of research combines text analysis and Semantic Web technologies. The use semantic knowledge is to aid sentiment analysis of queries like emotion mining, popularity analysis, recommendation systems, user profiling, etc. A new method has been proposed to extract semantic relationships between different data attributes of big data which can be applied to a decision system. (shrink)

Psillos, Kitcher, and Leplin have defended convergent scientific realism against the pessimistic meta-induction by arguing for the divide et impera strategy. I argue that DEI faces a problem more serious than the pessimistic meta-induction: the problem of accretion. When empirically successful theories and principles are combined, they may no longer make successful predictions or allow for accurate calculations, or the combination otherwise may be an empirical failure. The shift from classical mechanics to the new quantum theory does not reflect the (...) discarding of “idle wheels.” Instead, scientists had to contend with new principles that made classical calculations difficult or impossible, and new results that were inconsistent with classical theorems, and that suggested a new way of conceiving of atomic dynamics. In this shift, reference to atoms and to electrons was preserved, but the underlying causal explanations and descriptions of atoms and electrons changed. I propose that the emphasis on accurate description of causal agents as a virtue of background theory be replaced with Ruetsche’s advocacy of pragmatic, modal resourcefulness. (shrink)

There is an ethics of blaming the person who deserves blame. The Christian scriptures imply the following no-vengeance condition: a person should not vengefully overtly blame a wrongdoer even if she gives the wrongdoer the exact negative treatment that he deserves. I explicate and defend this novel condition and argue that it demands a revolution in our blaming practices. First, I explain the no-vengeance condition. Second, I argue that the no-vengeance condition is often violated. The most common species of blame (...) involves anger; anger conceptually includes a desire for vengeance; and there are many pleasures in payback. Third, I clarify that it is possible to blame non-vengefully in anger and highlight three good uses for anger in non-vengeful blame. Fourth, I offer two reasons that justify the divine command prohibiting vengeance, and I note that the Christian God is merely sufficient to make non-vengeance morally obligatory. Fifth, I defend the no-vengeance condition against four biblical objections. (shrink)

Fixing the problem won’t be easy, but humans’ sharpened focus on an emerging philosophy of data might give us some clue about where we will be heading for.

Seabed mining, the extraction of minerals from the deep-sea floor, is hotly contested. Policymakers have agreed on the need for a regulatory framework. However, traditional ethical theories and principles are not well equipped for the ethics of the alien deep sea. Engaging with the sea means engaging with something abstract that we can only access indirectly. We argue that this invisibility and alienness of the sea and its inhabitants can give new insights into how ethics are done. Rather than getting (...) even more grip on what is already directly known, considering what is outside our usual moral view may be just as valuable. To do so, art can help us think with these unknown and invisible parts of the ecosystem. For that, we describe three cases. The scientist and artist Eugen Ransonnet engaged with the underwater world in the late 19th century. The Victorian flower painter Marianne North's unruly approach greatly influenced the botanic discourse until today. And finally, Christina Stadlbauer's Institute for the Relocation of Biodiversity and her work with the mollusk Pinna Nobilis in Mar Menor, Spain. We describe the Pinna Nobilis video project and the ethical and political opportunities it opens. We propose that engaging with the arts can pave the way towards including the unknown in ethical reflection and, at the same time, how it can rephrase questions that can help us reconsider what is outside of our moral view. (shrink)

Educational Data Mining (EDM) shows interesting scientific results lately. However, little has been discussed about philosophical questions regarding the type of knowledge produced in this area. This paper aims to present two epistemological issues in EDM: (i) a question of ontological nature about the content of the knowledge obtained; and (ii) a question of deontological nature, about the guidelines and principles adopted by the researcher in education, to the detriment of the results of his own research. In the end, some (...) considerations and guidelines are outlined as a result of the discussion of the issues raised. (shrink)

Charles Perrow used the term normal accidents to characterize a type of catastrophic failure that resulted when complex, tightly coupled production systems encountered a certain kind of anomalous event. These were events in which systems failures interacted with one another in a way that could not be anticipated, and could not be easily understood and corrected. Systems of the production of expert knowledge are increasingly becoming tightly coupled. Unlike classical science, which operated with a long time horizon, many current forms (...) of expert knowledge are directed at immediate solutions to complex problems. These are prone to breakdowns like the kind discussed by Perrow. The example of the Homestake mine experiment shows that even in modern physics complex systems can produce knowledge failures that last for decades. The concept of knowledge risk is introduced, and used to characterize the risk of failure in such systems of knowledge production. (shrink)