Results for 'Data Mining'

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  1. Ontology-Based Knowledge Representation of Experiment Metadata in Biological Data Mining.Scheuermann Richard, Kong Megan, Dahlke Carl, Cai Jennifer, Lee Jamie, Qian Yu, Squires Burke, Dunn Patrick, Wiser Jeff, Hagler Herb, Herb Hagler, Barry Smith & David Karp - 2009 - In Jake Chen & Stefano Lonardi (eds.), Biological Data Mining. Boca Raton: Chapman Hall / Taylor and Francis. pp. 529-559.
    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 (...)
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  2. Would You Mind Being Watched by Machines? Privacy Concerns in Data Mining.Vincent C. Müller - 2009 - AI and Society 23 (4):529-544.
    "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 (...)
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  3.  52
    A Comparative Analysis of Data Mining Techniques on Breast Cancer Diagnosis Data Using WEKA Toolbox.Majdah Alshammari & Mohammad Mezher - 2020 - (IJACSA) International Journal of Advanced Computer Science and Applications 8:224-229.
    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 (...)
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  4.  71
    A Matter of Trust: : Higher Education Institutions as Information Fiduciaries in an Age of Educational Data Mining and Learning Analytics.Kyle M. L. Jones, Alan Rubel & Ellen LeClere - forthcoming - JASIST: Journal of the Association for Information Science and Technology.
    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 (...)
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  5. Ethical Issues of 'Morality Mining': When the Moral Identity of Individuals Becomes a Focus of Data-Mining.Markus Christen, Mark Alfano, Endre Bangerter & Daniel Lapsley - 2013 - In Hakikur Rahman & I. Ramos (eds.), Ethical Data Mining Applications for Socio-Economic Development. IGI Global. pp. 1-21.
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  6. Ontology-Assisted Database Integration to Support Natural Language Processing and Biomedical Data-Mining.Jean-Luc Verschelde, Marianna C. Santos, Tom Deray, Barry Smith & Werner Ceusters - 2004 - Journal of Integrative Bioinformatics. Repr. In: Yearbook of Bioinformatics , 39–48 1:1-10.
    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 (...)
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  7. Identifying Virtues and Values Through Obituary Data-Mining.Mark Alfano, Andrew Higgins & Jacob Levernier - 2018 - Journal of Value Inquiry 52 (1).
    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, (...)
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  8. Mapping Human Values: Enhancing Social Marketing Through Obituary Data-Mining.Mark Alfano, Andrew Higgins & Jacob Levernier - forthcoming - In Eda Gurel-Atay & Lynn Kahle (eds.), Social and Cultural Values in a Global and Digital Age. Routledge.
    Obituaries are an especially rich resource for identifying people’s values. Because obituaries are succinct and explicitly intended to summarize their subjects’ lives, they may be expected to include only the features that the author(s) find most salient, not only for themselves as relatives or friends of the deceased, but also to signal to others in the community the socially-recognized aspects of the deceased’s character. We report three approaches to the scientific study of virtue and value through obituaries. We begin by (...)
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  9. Data Mining the Brain to Decode the Mind.Daniel Weiskopf - forthcoming - In Neural Mechanisms: New Challenges in the Philosophy of Neuroscience.
    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 (...)
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  10.  43
    Retractions Data Mining #1.Quan-Hoang Vuong & Viet-Phuong La - 2019 - Open Science Framework 2019 (2):1-3.
    Motivation: • Breaking barriers in publishing demands a proactive attitude • Open data, open review and open dialogue in making social sciences plausible .
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  11.  17
    Application of Data Mining Techniques in Students’ Performance Prediction and Analysis.Abubakarsidiq Makame Rajab & Ramadhan Mzee Ramadhan - 2019 - International Journal of Academic Information Systems Research (IJAISR) 3 (3):1-9.
    Abstract ____This study aimed to analyze academic records specifically students’ performance using data mining algorithms which can assist to explore more than one factors theoretically assumed to have an effect on students’ performance in higher education, and finds a qualitative model which quality classifies the students’ performance based totally on associated personal and social factors. The study used educational information mining to predict students' Overall GPA classification for the first year primarily based on their grades in First (...)
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  12. Experiences in Mining Educational Data to Analyze Teacher's Performance: A Case Study with High Educational Teachers.Abdelbaset Almasri - 2017 - International Journal of Hybrid Information Technology 10 (12):1-12.
    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 (...)
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  13.  10
    Data Analysis, Analytics in Internet of Things and BigData.Mohammad Nezhad Hossein Shourkaei, Damghani Hamidreza, D. Leila & Hosseinian Heliasadat - 2019 - 4th International Conference on Combinatorics, Cryptography, Computer Science and Computation 4.
    The Internet-of-Things (IoT) is gradually being established as the new computing paradigm, which is bound to change the ways of our everyday working and living. IoT emphasizes the interconnection of virtually all types of physical objects (e.g., cell phones, wearables, smart meters, sensors, coffee machines and more) towards enabling them to exchange data and services among themselves, while also interacting with humans as well. Few years following the introduction of the IoT concept, significant hype was generated as a result (...)
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  14.  98
    Ethical Issues in Text Mining for Mental Health.Joshua Skorburg & Phoebe Friesen - forthcoming - In M. Dehghani & R. Boyd (ed.), The Atlas of Language Analysis in Psychology.
    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 (...)
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  15. What an Entangled Web We Weave: An Information-Centric Approach to Time-Evolving Socio-Technical Systems.Markus Luczak-Roesch, Kieron O’Hara, Jesse David Dinneen & Ramine Tinati - 2018 - Minds and Machines 28 (4):709-733.
    A new layer of complexity, constituted of networks of information token recurrence, has been identified in socio-technical systems such as the Wikipedia online community and the Zooniverse citizen science platform. The identification of this complexity reveals that our current understanding of the actual structure of those systems, and consequently the structure of the entire World Wide Web, is incomplete, which raises novel questions for data science research but also from the perspective of social epistemology. Here we establish the principled (...)
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  16. On the Application of Formal Principles to Life Science Data: A Case Study in the Gene Ontology.Jacob Köhler, Anand Kumar & Barry Smith - 2004 - In Proceedings of DILS 2004 (Data Integration in the Life Sciences), (Lecture Notes in Bioinformatics 2994). Berlin: Springer. pp. 79-94.
    Formal principles governing best practices in classification and definition have for too long been neglected in the construction of biomedical ontologies, in ways which have important negative consequences for data integration and ontology alignment. We argue that the use of such principles in ontology construction can serve as a valuable tool in error-detection and also in supporting reliable manual curation. We argue also that such principles are a prerequisite for the successful application of advanced data integration techniques such (...)
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  17. ANN for Predicting Mobile Phone Price Range.Fatthy Khillha & Nassar Shawwa - 2020 - International Journal of Academic Information Systems Research (IJAISR) 3 (2):1-6.
    In this paper an Artificial Neural Network (ANN) model, was developed and tested for predicting the price range of a mobile phone. We used a dataset that contains mobile phones information, and there was a number of factors that influence the classification of mobile phone price. Factors as battery power, CPU clock speed, has dual sim support or not, Front Camera mega pixels, has 4G or not, has Wi-Fi or not, etc…. 20 attributes were used as input variables for the (...)
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  18.  91
    Proof, Explanation, and Justification in Mathematical Practice.Moti Mizrahi - forthcoming - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie:1-18.
    In this paper, I propose that applying the methods of data science to “the problem of whether mathematical explanations occur within mathematics itself” (Mancosu 2018) might be a fruitful way to shed new light on the problem. By carefully selecting indicator words for explanation and justification, and then systematically searching for these indicators in databases of scholarly works in mathematics, we can get an idea of how mathematicians use these terms in mathematical practice and with what frequency. The results (...)
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  19.  69
    Illegal Mining and Sustainability Performance: Evidence From Ashanti Region, Ghana.Thomas Nti - 2020 - International Journal of Scientific Research and Management (IJSRM) 8 (3).
    The As illegal mining in Ghana has become increasingly rampant ever, this study aimed at examining the effect of illegal mining on the dimensions of sustainability performance among crop farmers and the challenges they face because of illegal mining in the Ashanti Region, Ghana. To investigate the intriguing connections among illegal mining and sustainability performance among crop farmers, this paper draws on multidisciplinary literature and collects empirical data from 250 respondents in the Atwima Nwabiagya and (...)
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  20.  55
    ANN for Lung Cancer Detection.Nassar AlIbrahim & Murshidy Suheil - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 3 (3):17-21.
    In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or presence of lung cancer in human body. Symptoms were used to diagnose the lung cancer, these symptoms such as Yellow fingers, Anxiety, Chronic Disease, Fatigue, Allergy, Wheezing, Coughing, Shortness of Breath, Swallowing Difficulty and Chest pain. They were used and other information about the person as input variables for our ANN. Our ANN established, trained, and validated using data set, which its title is “survey (...)
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  21.  27
    ANN for Predicting Books’ Overall Rating.Nassar AlIbrahim & Gazaz Ahmed - 2020 - International Journal of Academic Engineering Research (IJAER) 8 (3):1-5.
    We developed an Artificial Neural Network (ANN) model for predicting the overall rating of books. The prediction is based on some Factors (bookID, title, authors, isbn, language_code, isbn13, # num_pages, ratings_count, text_reviews_count), which used as input variables and (average_rating) as output for our ANN predictive model. Our model established, trained, and validated using data set, which its title is “Goodreads-books”. Model evaluation showed that the ANN model is able to predict correctly 99.90% of the validation instances.
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  22. How Archaeological Evidence Bites Back: Strategies for Putting Old Data to Work in New Ways.Alison Wylie - 2017 - Science, Technology, and Human Values 42 (2):203-225.
    Archaeological data are shadowy in a number of senses. Not only are they notoriously fragmentary but the conceptual and technical scaffolding on which archaeologists rely to constitute these data as evidence can be as constraining as it is enabling. A recurrent theme in internal archaeological debate is that reliance on sedimented layers of interpretative scaffolding carries the risk that “preunderstandings” configure what archaeologists recognize and record as primary data, and how they interpret it as evidence. The selective (...)
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  23.  32
    A Review Paper on Scope of Big Data Analysis in Heath Informatics.Kazi Md Shahiduzzaman, Lusekelo Kibona & Hassana Ganame - 2018 - International Journal of Engineering and Information Systems (IJEAIS) 2 (5):1-8.
    Abstract— The term Health Informatics represent a huge volume of data that is collected from different source of health sector. Because of its’ diversity in nature, quite a big number of attributes, numerous amount data, health informatics can be considered as Big Data. Therefore, different techniques used for analyzing Big Data will also fit for Health Informatics. In recent years, implementation of Data Mining on Health Informatics brings a lot of fruitful outcomes that improve (...)
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  24.  28
    ANN for Predicting Overall Car Performance.Mubayyed Osamma & Gazaz Ahmed - 2020 - International Journal of Academic and Applied Research (IJAAR) 1 (3):1-4.
    In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Buying, Maint, Doors, Persons, Lug_boot, Safety, and Overall. ANN was used in forecasting car acceptability. The results showed that ANN model was able to predict the car acceptability with 99.62 %. The factor of Safety has the most influence on car acceptability evaluation. Comparative study method is (...)
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  25.  25
    ANN for Predicting Movies Rates Category.Nassar Shawwa & Fatthy Khillha - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (2):21-25.
    We proposed an Artificial Neural Network (ANN) in this paper for predicting the rate category of movies. A dataset used obtained from UCI repository created for research purposes. Our ANN prediction model was developed and validated; validation results showed that the ANN model is able to 92.19% accurately predict the category of movies’ rate.
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  26.  75
    Beyond Categorical Definitions of Life: A Data-Driven Approach to Assessing Lifeness.Christophe Malaterre & Jean-François Chartier - forthcoming - Synthese.
    The concept of “life” certainly is of some use to distinguish birds and beavers from water and stones. This pragmatic usefulness has led to its construal as a categorical predicate that can sift out living entities from non-living ones depending on their possessing specific properties—reproduction, metabolism, evolvability etc. In this paper, we argue against this binary construal of life. Using text-mining methods across over 30,000 scientific articles, we defend instead a degrees-of-life view and show how these methods can contribute (...)
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  27. The Development of Non-Coding RNA Ontology.Jingshan Huang, Karen Eilbeck, Barry Smith, Judith Blake, Deijing Dou, Weili Huang, Darren Natale, Alan Ruttenberg, Jun Huan, Michael Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Harrison Strachan, Nisansa de Silva & Mohan Vamsi Kasukurthi - 2016 - International Journal of Data Mining and Bioinformatics 15 (3):214--232.
    Identification of non-coding RNAs (ncRNAs) has been significantly improved over the past decade. On the other hand, semantic annotation of ncRNA data is facing critical challenges due to the lack of a comprehensive ontology to serve as common data elements and data exchange standards in the field. We developed the Non-Coding RNA Ontology (NCRO) to handle this situation. By providing a formally defined ncRNA controlled vocabulary, the NCRO aims to fill a specific and highly needed niche in (...)
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  28.  31
    A Survey on Idea Mining: Techniques and Application.Nicholaus J. Gati & Lusekelo Kibona - 2018 - International Journal of Academic Multidisciplinary Research (IJAMR) 2 (3):1-4.
    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 (...)
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  29. Jacques Lacan’s Registers of the Psychoanalytic Field, Applied Using Geometric Data Analysis to Edgar Allan Poe’s “The Purloined Letter”.Fionn Murtagh & Giuseppe Iurato - manuscript
    In a first investigation, a Lacan-motivated template of the Poe story is fitted to the data. A segmentation of the storyline is used in order to map out the diachrony. Based on this, it will be shown how synchronous aspects, potentially related to Lacanian registers, can be sought. This demonstrates the effectiveness of an approach based on a model template of the storyline narrative. In a second and more Comprehensive investigation, we develop an approach for revealing, that is, uncovering, (...)
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  30. New Approaches to Evaluating the Performance of Corporate–Community Partnerships: A Case Study From the Minerals Sector. [REVIEW]Ana Maria Esteves & Mary-Anne Barclay - 2011 - Journal of Business Ethics 103 (2):189-202.
    A continuing challenge for researchers and practitioners alike is the lack of data on the effectiveness of corporate–community investment programmes. The focus of this article is on the minerals industry, where companies currently face the challenge of matching corporate drivers for strategic partnership with community needs for programmes that contribute to local and regional sustainability. While many global mining companies advocate a strategic approach to partnerships, there is no evidence currently available that suggests companies are monitoring these partnerships (...)
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  31. Theoretical Virtues in Scientific Practice: An Empirical Study.Moti Mizrahi - forthcoming - British Journal for the Philosophy of Science.
    It is a common view among philosophers of science that theoretical virtues (also known as epistemic or cognitive values), such as simplicity and consistency, play an important role in scientific practice. In this paper, I set out to study the role that theoretical virtues play in scientific practice empirically. I apply the methods of data science, such as text mining and corpus analysis, to study large corpora of scientific texts in order to uncover patterns of usage. These patterns (...)
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  32.  95
    What is This Thing Called Philosophy of Science? A Computational Topic-Modeling Perspective, 1934–2015.Christophe Malaterre, Jean-François Chartier & Davide Pulizzotto - 2019 - Hopos: The Journal of the International Society for the History of Philosophy of Science 9 (2):215-249.
    What is philosophy of science? Numerous manuals, anthologies or essays provide carefully reconstructed vantage points on the discipline that have been gained through expert and piecemeal historical analyses. In this paper, we address the question from a complementary perspective: we target the content of one major journal of the field—Philosophy of Science—and apply unsupervised text-mining methods to its complete corpus, from its start in 1934 until 2015. By running topic-modeling algorithms over the full-text corpus, we identified 126 key research (...)
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  33. Philosophical Theories of Privacy: Implications for an Adequate Online Privacy Policy.Herman T. Tavani - 2007 - Metaphilosophy 38 (1):1–22.
    This essay critically examines some classic philosophical and legal theories of privacy, organized into four categories: the nonintrusion, seclusion, limitation, and control theories of privacy. Although each theory includes one or more important insights regarding the concept of privacy, I argue that each falls short of providing an adequate account of privacy. I then examine and defend a theory of privacy that incorporates elements of the classic theories into one unified theory: the Restricted Access/Limited Control (RALC) theory of privacy. Using (...)
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  34.  29
    Impact of (SARS-CoV-2) COVID 19 on the Five Main Indigenous Language-Speaking Areas in Veracruz Mexico: The Case of the Totonacapan Area.Carlos Medel-Ramírez & Hilario Medel-López - manuscript
    The importance of the working document is that it allows the analysis of the information and the status of cases associated with (SARS-CoV-2) COVID-19 as open data at the municipal, state and national level, with a daily record of patients, according to a age, sex, comorbidities, for the condition of (SARS-CoV-2) COVID-19 according to the following characteristics: a) Positive, b) Negative, c) Suspicious. Likewise, it presents information related to the identification of an outpatient and / or hospitalized patient, attending (...)
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  35.  27
    Impact of (SARS-CoV-2) COVID 19 on the Five Main Indigenous Language-Speaking Areas in Veracruz Mexico: The Case of the Otomi of the Ixhuatlan de Madero Area.Carlos Medel-Ramírez & Hilario Medel-López - manuscript
    The importance of the working document is that it allows the analysis of the information and the status of cases associated with (SARS-CoV-2) COVID-19 as open data at the municipal, state and national level, with a daily record of patients, according to a age, sex, comorbidities, for the condition of (SARS-CoV-2) COVID-19 according to the following characteristics: a) Positive, b) Negative, c) Suspicious. Likewise, it presents information related to the identification of an outpatient and / or hospitalized patient, attending (...)
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  36.  19
    Evolving Efficient Classification Patterns in Lymphography Using EasyNN.Ahmed Suhail Jaber, Ahmed Khalil Humid, Mohammed Ahmed Hussein & Samy S. Abu-Naser - 2020 - International Journal of Academic Information Systems Research (IJAISR) 4 (9):66-73.
    A neural network exploits the non-linearity of a problem to define a set of desired inputs. Neural networks are important in realizing a better way for classification in machine learning and finds application in various fields such as data mining, pattern recognition, forensics etc. In this paper, our focus is to classify of patient records obtained from clinical data. Feature selection is a supervised method that attempts to select a subset of the predictor features based on the (...)
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  37. Extended Knowledge, the Recognition Heuristic, and Epistemic Injustice.Mark Alfano & Joshua August Skorburg - 2018 - In Duncan Pritchard, Jesper Kallestrup, Orestis Palermos & Adam Carter (eds.), Extended Knowledge. Oxford University Press. pp. 239-256.
    We argue that the interaction of biased media coverage and widespread employment of the recognition heuristic can produce epistemic injustices. First, we explain the recognition heuristic as studied by Gerd Gigerenzer and colleagues, highlighting how some of its components are largely external to, and outside the control of, the cognitive agent. We then connect the recognition heuristic with recent work on the hypotheses of embedded, extended, and scaffolded cognition, arguing that the recognition heuristic is best understood as an instance of (...)
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  38. Deleuze’s Postscript on the Societies of Control Updated for Big Data and Predictive Analytics.James Brusseau - 2020 - Theoria 67 (164):1-25.
    In 1990, Gilles Deleuze published Postscript on the Societies of Control, an introduction to the potentially suffocating reality of the nascent control society. This thirty-year update details how Deleuze’s conception has developed from a broad speculative vision into specific economic mechanisms clustering around personal information, big data, predictive analytics, and marketing. The central claim is that today’s advancing control society coerces without prohibitions, and through incentives that are not grim but enjoyable, even euphoric because they compel individuals to obey (...)
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  39.  15
    Impact of (SARS-CoV-2) COVID 19 on the Five Main Indigenous Language-Speaking Areas in Veracruz Mexico: The Case of the Popoluca From the Soteapan Area.Carlos Medel-Ramírez & Hilario Medel-López - manuscript
    The importance of the working document is that it allows the analysis of the information and the status of cases associated with (SARS-CoV-2) COVID-19 as open data at the municipal, state and national level, with a daily record of patients, according to a age, sex, comorbidities, for the condition of (SARS-CoV-2) COVID-19 according to the following characteristics: a) Positive, b) Negative, c) Suspicious. Likewise, it presents information related to the identification of an outpatient and / or hospitalized patient, attending (...)
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  40. The Ethics of Cloud Computing.Boudewijn de Bruin & Luciano Floridi - 2017 - Science and Engineering Ethics 23 (1):21-39.
    Cloud computing is rapidly gaining traction in business. It offers businesses online services on demand (such as Gmail, iCloud and Salesforce) and allows them to cut costs on hardware and IT support. This is the first paper in business ethics dealing with this new technology. It analyzes the informational duties of hosting companies that own and operate cloud computing datacenters (e.g., Amazon). It considers the cloud services providers leasing ‘space in the cloud’ from hosting companies (e.g, Dropbox, Salesforce). And it (...)
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  41. Natural Language Processing and Semantic Network Visualization for Philosophers.Mark Alfano & Andrew Higgins - forthcoming - In Eugen Fischer & Mark Curtis (eds.), Methodological Advances in Experimental Philosophy. Bloomsbury.
    Progress in philosophy is difficult to achieve because our methods are evidentially and rhetorically weak. In the last two decades, experimental philosophers have begun to employ the methods of the social sciences to address philosophical questions. However, the adequacy of these methods has been called into question by repeated failures of replication. Experimental philosophers need to incorporate more robust methods to achieve a multi-modal perspective. In this chapter, we describe and showcase cutting-edge methods for data-mining and visualization. Big (...)
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  42. Saliva Ontology: An Ontology-Based Framework for a Salivaomics Knowledge Base.Jiye Ai, Barry Smith & David Wong - 2010 - BMC Bioinformatics 11 (1):302.
    The Salivaomics Knowledge Base (SKB) is designed to serve as a computational infrastructure that can permit global exploration and utilization of data and information relevant to salivaomics. SKB is created by aligning (1) the saliva biomarker discovery and validation resources at UCLA with (2) the ontology resources developed by the OBO (Open Biomedical Ontologies) Foundry, including a new Saliva Ontology (SALO). We define the Saliva Ontology (SALO; http://www.skb.ucla.edu/SALO/) as a consensus-based controlled vocabulary of terms and relations dedicated to the (...)
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  43.  60
    The Objective Bayesian Conceptualisation of Proof and Reference Class Problems.James Franklin - 2011 - Sydney Law Review 33 (3):545-561.
    The objective Bayesian view of proof (or logical probability, or evidential support) is explained and defended: that the relation of evidence to hypothesis (in legal trials, science etc) is a strictly logical one, comparable to deductive logic. This view is distinguished from the thesis, which had some popularity in law in the 1980s, that legal evidence ought to be evaluated using numerical probabilities and formulas. While numbers are not always useful, a central role is played in uncertain reasoning by the (...)
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  44.  66
    Engineering Ontologies: Foundations and Theories From Philosophy and Logical Theory.Nicola Guarino & Barry Smith - 2006 - In SemanticMining: Semantic Interoperability and Data Mining in Biomedicine (NoE 507505). 1 Deliverable D.21.2. pp. 1-13.
    Ontology as a branch of philosophy is the science of what is, of the kinds and structures of objects, properties, events, processes and relations in every area of reality. ‘Ontology’ is often used by philosophers as a synonym for ‘metaphysics’ (literally: ‘what comes after the Physics’), a term which was used by early students of Aristotle to refer to what Aristotle himself called ‘first philosophy’. The term ‘ontology’ (or ontologia) was itself coined in 1613, independently, by two philosophers, Rudolf Göckel (...)
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  45.  71
    Gaming Google: Some Ethical Issues Involving Online Reputation Management.Jo Ann Oravec - 2013 - Journal of Business Ethics Education 10:61-81.
    Using the search engine Google to locate information linked to individuals and organizations has become part of everyday functioning. This article addresses whether the “gaming” of Internet applications in attempts to modify reputations raises substantial ethical concerns. It analyzes emerging approaches for manipulation of how personally-identifiable information is accessed online as well as critically-important international differences in information handling. It investigates privacy issues involving the data mining of personally-identifiable information with search engines and social media platforms. Notions of (...)
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  46. Privacy, Autonomy, and Personalised Targeting: Rethinking How Personal Data is Used.Karina Vold & Jessica Whittlestone - 2019 - In Carissa Véliz (ed.), Report on Data, Privacy, and the Individual in the Digital Age.
    Technological advances are bringing new light to privacy issues and changing the reasons for why privacy is important. These advances have changed not only the kind of personal data that is available to be collected, but also how that personal data can be used by those who have access to it. We are particularly concerned with how information about personal attributes inferred from collected data (such as online behaviour), can be used to tailor messages and services to (...)
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  47. Data, Privacy, and the Individual.Carissa Véliz - 2020 - Center for the Governance of Change.
    The first few years of the 21st century were characterised by a progressive loss of privacy. Two phenomena converged to give rise to the data economy: the realisation that data trails from users interacting with technology could be used to develop personalised advertising, and a concern for security that led authorities to use such personal data for the purposes of intelligence and policing. In contrast to the early days of the data economy and internet surveillance, the (...)
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  48. Open Data, Open Review and Open Dialogue in Making Social Sciences Plausible.Quan-Hoang Vuong - 2017 - Nature: Scientific Data Updates 2017.
    Nowadays, protecting trust in social sciences also means engaging in open community dialogue, which helps to safeguard robustness and improve efficiency of research methods. The combination of open data, open review and open dialogue may sound simple but implementation in the real world will not be straightforward. However, in view of Begley and Ellis’s (2012) statement that, “the scientific process demands the highest standards of quality, ethics and rigour,” they are worth implementing. More importantly, they are feasible to work (...)
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  49.  45
    Open Data, Open Review and Open Dialogue in Making Social Sciences Plausible.Quan-Hoang Vuong - 2017 - Scientific Data 4.
    A growing awareness of the lack of reproducibility has undermined society’s trust and esteem in social sciences. In some cases, well-known results have been fabricated or the underlying data have turned out to have weak technical foundations.
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  50. The Ethics of Uncertainty for Data Subjects.Philip Nickel - 2019 - In Jenny Krutzinna & Luciano Floridi (eds.), The Ethics of Medical Data Donation. Springer Verlag. pp. 55-74.
    Modern health data practices come with many practical uncertainties. In this paper, I argue that data subjects’ trust in the institutions and organizations that control their data, and their ability to know their own moral obligations in relation to their data, are undermined by significant uncertainties regarding the what, how, and who of mass data collection and analysis. I conclude by considering how proposals for managing situations of high uncertainty might be applied to this problem. (...)
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