Results for 'Stream data processing'

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  1. SAR-BSO meta-heuristic hybridization for feature selection and classification using DBNover stream data.Dharani Talapula, Kiran Ravulakollu, Manoj Kumar & Adarsh Kumar - forthcoming - Artificial Intelligence Review.
    Advancements in cloud technologies have increased the infrastructural needs of data centers due to storage needs and processing of extensive dimensional data. Many service providers envisage anomaly detection criteria to guarantee availability to avoid breakdowns and complexities caused due to large-scale operations. The streaming log data generated is associated with multi-dimensional complexity and thus poses a considerable challenge to detect the anomalies or unusual occurrences in the data. In this research, a hybrid model is proposed (...)
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  2. The Many Streams in Ralph Pred’s Onflow: A Review Essay.Anderson Weekes - 2006 - Chromatikon II. Annuaire de la Philosophie En Procès - Yearbook of Philosophy in Process 2:229-246.
    This study of Ralph Pred’s Onflow (MIT Press, 2005) expands on Pred’s arguments and raises doubts about the viability of phenomenology. Showing that Pred’s method is indeed phenomenological, I validate his interpretations of William James as phenomenologist and his critique of John Searle in light of James, which documents the extent to which the role of habit in the constitution of experience is neglected by philosophers. In explaining habit, however, Pred himself reverts to non-phenomenological models drawn from James’ postulate of (...)
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  3. The Many Streams in Ralph Pred’s Onflow. [REVIEW]Anderson Weekes - 2006 - Chromatikon 2:227-244.
    This study of Ralph Pred’s Onflow (MIT Press, 2005) expands on Pred’s arguments and raises doubts about the viability of phenomenology. Showing that Pred’s method is indeed phenomenological, I validate his interpretations of William James as phenomenologist and his critique of John Searle in light of James, which documents the extent to which the role of habit in the constitution of experience is neglected by philosophers. In explaining habit, however, Pred himself reverts to non-phenomenological models drawn from James’ postulate of (...)
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  4. From meta-processes to conscious access: Evidence from children's metalinguistic and repair data.Annette Karmiloff-Smith - 1986 - Cognition 23 (2):95-147.
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    The problem of the consent for the processing of health data, particularly for biomedical research purposes, from the perspective of fundamental rights protection in the Digital Era.Joaquín Sarrión Esteve - 2018 - Revista de Derecho y Genoma Humano: Genética, Biotecnología y Medicina Avanzada = Law and the Human Genome Review: Genetics, Biotechnology and Advanced Medicine 48:107-132.
    Health data processing fields face ethical and legal problems regarding fundamental rights. As we know, patients can benefit in the Digital Era from having health or medical information available, and medical decisions can be more effective with a better understanding of clinical histories, medical and health data thanks to the development of Artificial Intelligence, Internet of Things and other Digital technologies. However, at the same time, we need to guarantee fundamental rights, including privacy ones. The complaint about (...)
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  6. Data models, representation and adequacy-for-purpose.Alisa Bokulich & Wendy Parker - 2021 - European Journal for Philosophy of Science 11 (1):1-26.
    We critically engage two traditional views of scientific data and outline a novel philosophical view that we call the pragmatic-representational view of data. On the PR view, data are representations that are the product of a process of inquiry, and they should be evaluated in terms of their adequacy or fitness for particular purposes. Some important implications of the PR view for data assessment, related to misrepresentation, context-sensitivity, and complementary use, are highlighted. The PR view provides (...)
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  7. Speech Act Theory and Ethics of Speech Processing as Distinct Stages: the ethics of collecting, contextualizing and the releasing of (speech) data.Jolly Thomas, Lalaram Arya, Mubarak Hussain & Prasanna Srm - 2023 - 2023 Ieee International Symposium on Ethics in Engineering, Science, and Technology (Ethics), West Lafayette, in, Usa.
    Using speech act theory from the Philosophy of Language, this paper attempts to develop an ethical framework for the phenomenon of speech processing. We use the concepts of the illocutionary force and the illocutionary content of a speech act to explain the ethics of speech processing. By emphasizing the different stages involved in speech processing, we explore the distinct ethical issues that arise in relation to each stage. Input, processing, and output are the different ethically relevant (...)
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  8. 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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  9. 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 the (...)
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  10. An Integrated Mobile Wireless System for Capturing Physiological Data Streams During a Cognitive-Motor Task: Applications for Aging Motions.Mihai Nadin - unknown
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  11. 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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  12. Luminosity in the stream of consciousness.David Jenkins - 2018 - Synthese 198 (Suppl 7):1549-1562.
    Williamson’s “anti-luminosity” argument aims to establish that there are no significant luminous conditions. “Far from forming a cognitive home”, luminous conditions are mere “curiosities”. Even supposing Williamson’s argument succeeds in showing that there are no significant luminous states his conclusion has not thereby been established. When it comes to determining what is luminous, mental events and processes are among the best candidates. It is events and processes, after all, which constitute the stream of consciousness. Judgment, for instance, is plausibly (...)
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  13. Social Philosophy: A Phenomenology and Critique of Philosophy Twitter.Martin Janello - 2022 - Https://Www.Philosophyofhappiness.Com/Materials.Html.
    This article derives from data collected over a six-month period between February and August 2022. Its sampling pertains to members of two general Twitter Lists of philosophy professionals: “Philosophers on Twitter”, limited to a maximum of 4500 active accounts, and “Philosophers”, restricted to accounts surpassing 1000 followers and currently including over 1,100 individuals. The totality of members of these two Lists is referenced in this article as “Philosophy Twitter”. -/- Data was collected in five principal ways from members (...)
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  14. Data subject rights as a research methodology: A systematic literature review.Adamu Adamu Habu & Tristan Henderson - 2023 - Journal of Responsible Technology 16 (C):100070.
    Data subject rights provide data controllers with obligations that can help with transparency, giving data subjects some control over their personal data. To date, a growing number of researchers have used these data subject rights as a methodology for data collection in research studies. No one, however, has gathered and analysed different academic research studies that use data subject rights as a methodology for data collection. To this end, we conducted a systematic (...)
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  15. Big Data Ethics in Research.Nicolae Sfetcu - 2019 - Bucharest, Romania: MultiMedia Publishing.
    The main problems faced by scientists in working with Big Data sets, highlighting the main ethical issues, taking into account the legislation of the European Union. After a brief Introduction to Big Data, the Technology section presents specific research applications. There is an approach to the main philosophical issues in Philosophical Aspects, and Legal Aspects with specific ethical issues in the EU Regulation on the protection of natural persons with regard to the processing of personal data (...)
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  16. Data Mining in the Context of Legality, Privacy, and Ethics.Amos Okomayin, Tosin Ige & Abosede Kolade - 2023 - International Journal of Research and Innovation in Applied Science 10 (Vll):10-15.
    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 (...)
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  17. Whitehead & the Elusive Present: Process Philosophy's Creative Core.Gregory M. Nixon - 2010 - Journal of Consciousness Exploration and Research 1 (5):625-639.
    Time’s arrow is necessary for progress from a past that has already happened to a future that is only potential until creatively determined in the present. But time’s arrow is unnecessary in Einstein’s so-called block universe, so there is no creative unfolding in an actual present. How can there be an actual present when there is no universal moment of simultaneity? Events in various places will have different presents according to the position, velocity, and nature of the perceiver. Standing against (...)
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  18. Attention, Consciousness, and Data Display.Ronald A. Rensink - 2006 - In 2006 Proceedings of the American Statistical Association, Statistical Graphics Section.
    Recent advances in our understanding of visual perception have shown it to be a far more complex and counterintuitive process than previously believed. Several important consequences follow from this. First, the design of an effective statistical graphics system is unlikely to succeed based on intuition alone; instead, it must rely on a more sophisticated, systematic approach. The basic elements of such an approach are outlined here, along with several design principles. An overview is then given of recent advances in our (...)
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  19. Learning and Business Incubation Processes and Their Impact on Improving the Performance of Business Incubators.Shehada Y. Rania, El Talla A. Suliman, J. Shobaki Mazen & Samy S. Abu-Naser - 2020 - International Journal of Academic Multidisciplinary Research (IJAMR) 4 (5):120-142.
    This study aimed to identify the learning and business incubation processes and their impact on developing the performance of business incubators in Gaza Strip, and the study relied on the descriptive analytical approach, and the study population consisted of all employees working in business incubators in Gaza Strip in addition to experts and consultants in incubators where their total number reached (62) individuals, and the researchers used the questionnaire as a main tool to collect data through the comprehensive survey (...)
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  20. What is data ethics?Luciano Floridi & Mariarosaria Taddeo - 2016 - Philosophical Transactions of the Royal Society A 374 (2083):20160360.
    This theme issue has the founding ambition of landscaping Data Ethics as a new branch of ethics that studies and evaluates moral problems related to data (including generation, recording, curation, processing, dissemination, sharing, and use), algorithms (including AI, artificial agents, machine learning, and robots), and corresponding practices (including responsible innovation, programming, hacking, and professional codes), in order to formulate and support morally good solutions (e.g. right conducts or right values). Data Ethics builds on the foundation provided (...)
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  21. ICTs, data and vulnerable people: a guide for citizens.Alexandra Castańeda, Andreas Matheus, Andrzej Klimczuk, Anna BertiSuman, Annelies Duerinckx, Christoforos Pavlakis, Corelia Baibarac-Duignan, Elisabetta Broglio, Federico Caruso, Gefion Thuermer, Helen Feord, Janice Asine, Jaume Piera, Karen Soacha, Katerina Zourou, Katherin Wagenknecht, Katrin Vohland, Linda Freyburg, Marcel Leppée, Marta CamaraOliveira, Mieke Sterken & Tim Woods - 2021 - Bilbao: Upv-Ehu.
    ICTs, personal data, digital rights, the GDPR, data privacy, online security… these terms, and the concepts behind them, are increasingly common in our lives. Some of us may be familiar with them, but others are less aware of the growing role of ICTs and data in our lives - and the potential risks this creates. These risks are even more pronounced for vulnerable groups in society. People can be vulnerable in different, often overlapping, ways, which place them (...)
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  22. Big Data technology.Nicolae Sfetcu - manuscript
    Big Data must be processed with advanced collection and analysis tools, based on predetermined algorithms, in order to obtain relevant information. Algorithms must also take into account invisible aspects for direct perceptions. Big Data issues is multi-layered. A distributed parallel architecture distributes data on multiple servers (parallel execution environments) thus dramatically improving data processing speeds. Big Data provides an infrastructure that allows for highlighting uncertainties, performance, and availability of components. DOI: 10.13140/RG.2.2.12784.00004 .
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  23. Moral Implications of Data-Mining, Key-word Searches, and Targeted Electronic Surveillance.Michael Skerker - 2015 - In Bradley J. Strawser, Fritz Allhoff & Adam Henschke (eds.), Binary Bullets.
    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 (...)
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  24. Classifying Processes: An Essay in Applied Ontology.Barry Smith - 2012 - Ratio 25 (4):463-488.
    We begin by describing recent developments in the burgeoning discipline of applied ontology, focusing especially on the ways ontologies are providing a means for the consistent representation of scientific data. We then introduce Basic Formal Ontology (BFO), a top-level ontology that is serving as domain-neutral framework for the development of lower level ontologies in many specialist disciplines, above all in biology and medicine. BFO is a bicategorial ontology, embracing both three-dimensionalist (continuant) and four-dimensionalist (occurrent) perspectives within a single framework. (...)
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  25. Evolution in the Double Stream of Time - An inner Morphology of Organic Thought (2nd edition).Christoph J. Hueck - 2023 - Stuttgart: Akanthos Academy.
    This book shows that in the naturalistic and Darwinian explanation of life and its evolution, a decisive factor is overlooked, namely the human, knowing mind. The questions about life and its evolution can be answered if consciousness is taken into account not as a spectator, but as an integral part of reality. In the first-person-perception of cognition, the forces and laws of organic development can be observed and explored. It becomes apparent that evolution was not a random event, but the (...)
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  26. From public data to private information: The case of the supermarket.Vincent C. Müller - 2009 - In Bottis Maria (ed.), Proceedings of the 8th International Conference Computer Ethics: Philosophical Enquiry. Nomiki Bibliothiki. pp. 500-507.
    The background to this paper is that in our world of massively increasing personal digital data any control over the data about me seems illusionary – informational privacy seems a lost cause. On the other hand, the production of this digital data seems a necessary component of our present life in the industrialized world. A framework for a resolution of this apparent dilemma is provided if by the distinction between (meaningless) data and (meaningful) information. I argue (...)
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  27. Neutrosophic Association Rule Mining Algorithm for Big Data Analysis.Mohamed Abdel-Basset, Mai Mohamed, Florentin Smarandache & Victor Chang - 2018 - Symmetry 10 (4):1-19.
    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 (...)
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  28. Microethics for healthcare data science: attention to capabilities in sociotechnical systems.Mark Graves & Emanuele Ratti - 2021 - The Future of Science and Ethics 6:64-73.
    It has been argued that ethical frameworks for data science often fail to foster ethical behavior, and they can be difficult to implement due to their vague and ambiguous nature. In order to overcome these limitations of current ethical frameworks, we propose to integrate the analysis of the connections between technical choices and sociocultural factors into the data science process, and show how these connections have consequences for what data subjects can do, accomplish, and be. Using healthcare (...)
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  29. Are There Unconscious Perceptual Processes?Berit Brogaard - 2011 - Consciousness and Cognition 20 (2):449-63.
    Blindsight and vision for action seem to be exemplars of unconscious visual processes. However, researchers have recently argued that blindsight is not really a kind of uncon- scious vision but is rather severely degraded conscious vision. Morten Overgaard and col- leagues have recently developed new methods for measuring the visibility of visual stimuli. Studies using these methods show that reported clarity of visual stimuli correlates with accuracy in both normal individuals and blindsight patients. Vision for action has also come under (...)
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  30. Processes of Knowledge.George Towner - 2001 - Upa.
    In Processes of Knowledge, George Towner analyzes the actual ways that human knowledge is accumulated and organized, both in science and in everyday life. He places the processes of knowledge within their social context, examining the basic ways that communication lets people share ideas. Towner traces the development of language, writing, and data processing, demonstrating their different effects on theorizing. He also develops an evolutionary view of group thinking, examining the ways that human groups use specific types of (...)
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  31. Health Research Priority Setting: Do Grant Review Processes Reflect Ethical Principles?Leah Pierson & Joseph Millum - forthcoming - Global Public Health.
    Most public and non-profit organisations that fund health research provide the majority of their funding in the form of grants. The calls for grant applications are often untargeted, such that a wide variety of applications may compete for the same funding. The grant review process therefore plays a critical role in determining how limited research resources are allocated. Despite this, little attention has been paid to whether grant review criteria align with widely endorsed ethical criteria for allocating health research resources. (...)
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  32. The Axiology of Necrologies: Using Natural Language Processing to Examine Values in Obituaries (Dissertation Code and Limited Data).Jacob Levernier - 2016 - Dissertation, University of Oregon
    This dissertation is centrally concerned with exploring obituaries as repositories of values. Obituaries are a publicly-available natural language source that are variably written for members of communities that are wide (nation- level) and narrow (city-level, or at the level of specific groups therein). Because they are explicitly summative, limited in size, and written for consumption by a public audience, obituaries may be expected to express concisely the aspects of their subjects’ lives that the authors (often family members living in the (...)
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  33. A conceptual framework for data-driven sustainable finance in green energy transition.Omotayo Bukola Adeoye, Ani Emmanuel Chigozie, Ninduwesuor-Ehiobu Nwakamma, Jose Montero Danny, Favour Oluwadamilare Usman & Kehinde Andrew Olu-Lawal - 2024 - World Journal of Advanced Research and Reviews 21 (2):1791–1801.
    As the world grapples with the urgent need for sustainable development, the transition towards green energy stands as a critical imperative. Financing this transition poses significant challenges, requiring innovative approaches that align financial objectives with environmental sustainability goals. This review presents a conceptual framework for leveraging data-driven techniques in sustainable finance to facilitate the transition towards green energy. The proposed framework integrates principles of sustainable finance with advanced data analytics to enhance decision-making processes across the financial ecosystem. At (...)
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  34. Big Data.Nicolae Sfetcu - 2019 - Drobeta Turnu Severin: MultiMedia Publishing.
    Odată cu creșterea volumului de date pe Internet, în media socială, cloud computing, dispozitive mobile și date guvernamentale, Big Data devine în același timp o amenințare și o oportunitate în ceea ce privește gestionarea și utilizarea acestor date, menținând în același timp drepturile persoanelor implicate. În fiecare zi, folosim și generăm tone de date, alimentând bazele de date ale agențiilor guvernamentale, companiilor private și chiar cetățenilor privați. Beneficiem în multe feluri de existența și utilizarea Big Data, dar trebuie (...)
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  35. Asking about data: exploring different realities of data via the social data flow network methodology.Brian Ballsun-Stanton - unknown
    What is data? That question is the fundamental investigation of this dissertation. I have developed a methodology from social-scientific processes to explore how different people understand the concept of data, rather than to rely on my own philosophical intuitions or thought experiments about the “nature” of data. The evidence I have gathered as to different individuals' constructions of data can be used to inform further inquiry of data and the design of information systems. My research (...)
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  36. Public interest in health data research: laying out the conceptual groundwork.Angela Ballantyne & G. Owen Schaefer - 2020 - Journal of Medical Ethics 46 (9):610-616.
    The future of health research will be characterised by three continuing trends: rising demand for health data; increasing impracticability of obtaining specific consent for secondary research; and decreasing capacity to effectively anonymise data. In this context, governments, clinicians and the research community must demonstrate that they can be responsible stewards of health data. IRBs and RECs sit at heart of this process because in many jurisdictions they have the capacity to grant consent waivers when research is judged (...)
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  37. Integration of Intelligence Data through Semantic Enhancement.David Salmen, Tatiana Malyuta, Alan Hansen, Shaun Cronen & Barry Smith - 2011 - In Proceedings of the Conference on Semantic Technology in Intelligence, Defense and Security (STIDS). CEUR, Vol. 808.
    We describe a strategy for integration of data that is based on the idea of semantic enhancement. The strategy promises a number of benefits: it can be applied incrementally; it creates minimal barriers to the incorporation of new data into the semantically enhanced system; it preserves the existing data (including any existing data-semantics) in their original form (thus all provenance information is retained, and no heavy preprocessing is required); and it embraces the full spectrum of (...) sources, types, models, and modalities (including text, images, audio, and signals). The result of applying this strategy to a given body of data is an evolving Dataspace that allows the application of a variety of integration and analytic processes to diverse data contents. We conceive semantic enhancement (SE) as a lightweight and flexible process that leverages the richness of the structured contents of the Dataspace without adding storage and processing burdens to what, in the intelligence domain, will be an already storage- and processing-heavy starting point. SE works not by changing the data to which it is applied, but rather by adding an extra semantic layer to this data. We sketch how the semantic enhancement approach can be applied consistently and in cumulative fashion to new data and data-models that enter the Dataspace. (shrink)
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  38. Perception and testimony as data providers.Luciano Floridi - 2014 - Logique Et Analyse 57 (226):71–95.
    This chapter addresses two questions. First, if knowledge is accounted information, how are we supposed (to apply this analysis in order) to understand perceptual knowledge and knowledge by testimony? In the first part of the chapter, I articulate an answer in terms of a re-interpretation of perception and testimony as data providers rather than full-blown cases of knowledge. Second, if perception and testimony are correctly understood as data providers, how are we supposed (to apply this analysis in order) (...)
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  39. Contents, vehicles, and complex data analysis in neuroscience.Daniel C. Burnston - 2020 - Synthese 199 (1-2):1617-1639.
    The notion of representation in neuroscience has largely been predicated on localizing the components of computational processes that explain cognitive function. On this view, which I call “algorithmic homuncularism,” individual, spatially and temporally distinct parts of the brain serve as vehicles for distinct contents, and the causal relationships between them implement the transformations specified by an algorithm. This view has a widespread influence in philosophy and cognitive neuroscience, and has recently been ably articulated and defended by Shea. Still, I am (...)
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  40. “Who Should I Trust with My Data?” Ethical and Legal Challenges for Innovation in New Decentralized Data Management Technologies.Haleh Asgarinia, Andrés Chomczyk Penedo, Beatriz Esteves & Dave Lewis - 2023 - Information (Switzerland) 14 (7):1-17.
    News about personal data breaches or data abusive practices, such as Cambridge Analytica, has questioned the trustworthiness of certain actors in the control of personal data. Innovations in the field of personal information management systems to address this issue have regained traction in recent years, also coinciding with the emergence of new decentralized technologies. However, only with ethically and legally responsible developments will the mistakes of the past be avoided. This contribution explores how current data management (...)
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  41. A Multi-wavelength Data Analysis with Multi-mission Space Telescopes.Yang I. Pachankis - 2022 - International Journal of Innovative Science and Research Technology 7 (1):701-708.
    The article summarizes the software tool on astrophysical analysis with multi-wavelength space telescope data. It recaps the evidence analysis conducted on the Kerr-Newman black hole (KNBH). It was written prior to the article Research on the Kerr-Newman Black Hole in M82 Confirms Black Hole and White Hole Juxtapose not soon after the experiment. The conducted analysis suggested Hawking radiation is caused by the movement of ergosurfaces of the BH and serves as the primal evidence for black hole and white (...)
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  42. Geospatial Data Approach for Demand-Oriented Policies of Land Administration.HaeOk Choi - 2020 - Land 9 (1):31.
    To develop the land administration sector, it is important to examine the difficulties faced and requests made by citizens. Accordingly, this study analyzes the Voice of Citizens data relating to land administration in an attempt to identify characteristics of civil complaints in the spatial sector that are unique to land administration. This research builds geospatial Database by combining civil complaint data and spatial information to the analysis of interest of the civil complaint area in order to identify the (...)
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  43. Consent and the ethical duty to participate in health data research.Angela Ballantyne & G. Owen Schaefer - 2018 - Journal of Medical Ethics 44 (6):392-396.
    The predominant view is that a study using health data is observational research and should require individual consent unless it can be shown that gaining consent is impractical. But recent arguments have been made that citizens have an ethical obligation to share their health information for research purposes. In our view, this obligation is sufficient ground to expand the circumstances where secondary use research with identifiable health information is permitted without explicit subject consent. As such, for some studies the (...)
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  44. A Sustainability Improvement Strategy of Interconnected Data Centers Based on Dispatching Potential of Electric Vehicle Charging Stations.Xihao Wang, Xiaojun Wang, Yuqing Liu, Chun Xiao, Rongsheng Zhao, Ye Yang & Zhao Liu - 2022 - Sustainability 14 (11):6814.
    With the rapid development of information technology, the electricity consumption of Internet Data Centers (IDCs) increases drastically, resulting in considerable carbon emissions that need to be reduced urgently. In addition to the introduction of Renewable Energy Sources (RES), the joint use of the spatial migration capacity of IDC workload and the temporal flexibility of the demand of Electric Vehicle Charging Stations (EVCSs) provides an important means to change the carbon footprint of the IDC. In this paper, a sustainability improvement (...)
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  45. Cognitive Systems, Predictive Processing, and the Self.Robert D. Rupert - 2021 - Review of Philosophy and Psychology 13 (4):947-972.
    This essay presents the conditional probability of co-contribution account of the individuation of cognitive systems (CPC) and argues that CPC provides an attractive basis for a theory of the cognitive self. The argument proceeds in a largely indirect way, by emphasizing empirical challenges faced by an approach that relies entirely on predictive processing (PP) mechanisms to ground a theory of the cognitive self. Given the challenges faced by PP-based approaches, we should prefer a theory of the cognitive self of (...)
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  46. Accessing Online Data for Youth Mental Health Research: Meeting the Ethical Challenges.Elvira Perez Vallejos, Ansgar Koene, Christopher James Carter, Daniel Hunt, Christopher Woodard, Lachlan Urquhart, Aislinn Bergin & Ramona Statache - 2019 - Philosophy and Technology 32 (1):87-110.
    This article addresses the general ethical issues of accessing online personal data for research purposes. The authors discuss the practical aspects of online research with a specific case study that illustrates the ethical challenges encountered when accessing data from Kooth, an online youth web-counselling service. This paper firstly highlights the relevance of a process-based approach to ethics when accessing highly sensitive data and then discusses the ethical considerations and potential challenges regarding the accessing of public data (...)
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  47. Insights about Electronic Technology in Digital Transformation Age & Neutrosophic Data Structure.A. A. Salama, A. Abd ELhamid, Shimaa I. Hassan & N. M. A. Ayad - 2021 - Neutrosophic Knowledge 2 (2):11-22.
    In recent decades, Information and Communication Technology (ICT) has been advanced and widely spread around the globe in addition to ICT revolution and technological advances are considered the major role in the evolution of modern age, which is called "Digital Transformation Age". Therefore, Electronic Technology (E-Technology) has become one of the most prominent approaches such as Electronic Learning (E-Learning), Electronic Training (E-Training), Mobile Learning (M-Learning), Virtual Lab (V-Lab), Virtual University, etc. E-Technology includes some features, for instance anyone, anywhere, anytime and (...)
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  48.  65
    Process Ontology in the Context of John Dupré's Philosophy of Biology.Okan Nurettin Okur - 2023 - Metazihin 6 (2):97-118.
    Substantialism, which is an extremely common paradigm in Western philosophy, has dominated the sciences over time. Arguing that the authentic structure of existence is fixed and unchangeable; over time, with the development of modern physics, this understanding, which was easily adopted due to the precision of mechanical and mathematical explanations and the ease of categorization, created a school of biology that tried to develop through quantitative propositions; thus, living things were considered static entities that could be understood through reverse engineering. (...)
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  49. Logical theory revision through data underdetermination: an anti-exceptionalist exercise.Sanderson Molick - 2021 - Principia: An International Journal of Epistemology 25 (1).
    The anti-exceptionalist debate brought into play the problem of what are the relevant data for logical theories and how such data affects the validities accepted by a logical theory. In the present paper, I depart from Laudan's reticulated model of science to analyze one aspect of this problem, namely of the role of logical data within the process of revision of logical theories. For this, I argue that the ubiquitous nature of logical data is responsible for (...)
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  50. A Multiple Sensor Data-Fusion for EFD Using IoT.M. Madan Mohan - 2021 - Journal of Science Technology and Research (JSTAR) 2 (1):70-80.
    Multi sensor data fusion allows large scale deployments for environmental monitoring applications especially in the areas like homes, other buildings and infrastructures and industries. In such areas early fire detection is of great importance as the consequences of a fire are catastrophic. This project predicts the possibility of catching fire using a multi-sensor scheme of data fusion to enhance the performance of the early fire detection process by detecting the concentration of inflammable gases in the atmosphere and by (...)
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