Results for ' Data analysis'

986 found
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  1. 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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  2. Transforming Data Analysis through AI-Powered Data Science.Mathan Kumar - 2023 - Proceedings of IEEE 2 (2):1-5.
    AI-powered records science is revolutionizing the way facts are analyzed and understood. It can significantly improve the exceptional of information evaluation and boost its speed. AI-powered facts technological know-how enables access to more extensive, extra complicated information sets, faster insights, faster trouble solving, and higher choice making. Using the use of AI-powered information technological know-how techniques and tools, organizations can provide more accurate outcomes with shorter times to choices. AI-powered facts technology also offers more correct predictions of activities and developments (...)
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  3. 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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  4. Using Linguistics Corpus Data Analysis to Combat PRC's Cognitive Infiltration.Jr-Jiun Lian - 2024 - 2024 Annual Conference of the Communication Association: International Academic Conference on Communication and Democratic Resilience.
    In light of Taiwan's extensive exposure to the Chinese Communist Party's "cognitive domain infiltration warfare," this paper proposes new response mechanisms and strategies for cybersecurity and national defense. The focus is primarily on assessing the CCP's cognitive infiltration tactics to develop policy recommendations in cybersecurity linguistics. These recommendations are intended to serve as a reference for future national defense and information security policies. Within the constraints of limited resources, this study attempts to provide an integrated analysis method combining qualitative (...)
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  5. 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 (...)
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  6. Political communication in Social Networks Election campaigns and digital data analysis: a bibliographic review.Luca Corchia - 2019 - Rivista Trimestrale di Scienza Dell’Amministrazione (2):1-50.
    The outcomes of a bibliographic review on political communication, in particular electoral communication in social networks, are presented here. The electoral campaigning are a crucial test to verify the transformations of the media system and of the forms and uses of the linguistic acts by dominant actors in public sphere – candidates, parties, journalists and Gatekeepers. The aim is to reconstruct the first elements of an analytical model on the transformations of the political public sphere, with which to systematize the (...)
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  7. 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 from (...)
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  8. 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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  9. Cloud-Based IoT System for Outdoor Pollution Detection and Data Analysis.Prathap Jeyapandi - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):424-430.
    Air pollution is a significant environmental concern that affects human health, ecosystems, and climate change. Effective monitoring and management of outdoor air quality are crucial for mitigating its adverse effects. This paper presents an advanced approach to outdoor pollution measurement utilizing Internet of Things (IoT) technology, combined with optimization techniques to enhance system efficiency and data accuracy. The proposed framework integrates a network of IoT sensors that continuously monitor various air pollutants, such as particulate matter (PM), carbon monoxide (CO), (...)
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  10. The application of the nominal scale of measurement in research data analysis.Delight Omoji Idika, Valentine Joseph Owan & Victor Ubugha Agama - 2023 - Prestige Journal of Education 6 (1):190-198.
    Appropriate measurement scales are fundamental in data analysis, allowing researchers to categorise, select appropriate statistical methods, and analyse and interpret their data accurately. The nominal scale is one such measurement scale in behavioural sciences, which is crucial in organising data into distinct categories. This paper provides an overview of the nominal measurement scale in research data analysis. It explains the characteristics and role of the nominal scale in organising data into distinct categories. The (...)
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  11. 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 the (...)
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  12. Comparative study of manual and computerized software techniques of data management and analysis in educational research.Valentine Joseph Owan & Bassey Asuquo Bassey - 2018 - International Journal of Innovation in Educational Management (IJIEM) 2 (1):35-45.
    The study was conducted to compare manual and computerized software techniques of data management and analysis in educational research. Specifically, the study investigated whether there was a significant difference in the results of Pearson correlation, independent t-test and ANOVA obtained from using manual and computerized software technique of data analyses. Three null hypotheses were formulated accordingly to guide the study. The study adopted a quasi-experimental research design where several data were generated by the researchers and analyzed (...)
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  13. An Analysis of Recent Empirical Data on ‘Ought’ Implies ‘Can’.Yishai Cohen - 2018 - Philosophia 46 (1):57-67.
    Recent experimental studies dispute the position that commonsense morality accepts ‘Ought’ Implies ‘Can’, the view that, necessarily, if an agent ought to perform some action, then she can perform that action. This paper considers and supports explanations for the results of these studies on the hypothesis that OIC is intuitive and true.
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  14. NEUTROSOPHIC THEORY AND SENTIMENT ANALYSIS TECHNIQUE FOR MINING AND RANKING BIG DATA FROM ONLINE EVALUATION.C. Manju Priya - 2022 - Journal of Science Technology and Research (JSTAR) 3 (1):124-142.
    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, (...)
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  15. A Different Approach for Clique and Household Analysis in Synthetic Telecom Data Using Propositional Logic.Sandro Skansi, Kristina Šekrst & Marko Kardum - 2020 - In Marko Koričić (ed.), 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO). IEEE Explore. pp. 1286-1289.
    In this paper we propose an non-machine learning artificial intelligence (AI) based approach for telecom data analysis, with a special focus on clique detection. Clique detection can be used to identify households, which is a major challenge in telecom data analysis and predictive analytics. Our approach does not use any form of machine learning, but another type of algorithm: satisfiability for propositional logic. This is a neglected approach in modern AI, and we aim to demonstrate that (...)
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  16. Academic Placement Data and Analysis (APDA) 2021 survey of philosophy Ph.D. students and recent graduates: Demographic data, program ratings, academic job placement, and nonacademic careers.Carolyn Dicey Jennings & Alex Dayer - 2021 - Metaphilosophy 53 (1):100-133.
    Doctoral graduates in philosophy are an excellent source of information about the discipline: they are at the cutting edge of research trends, have an inside view of researchfocused departments, and their employment prospects provide early insights on the future health of the discipline. We report on the results of a survey sent to recent PhD graduates and current students, as well as data gathering efforts by Academic Placement Data and Analysis that have taken place over the past (...)
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  17. Academic Placement Data and Analysis: 2016 Final Report.Carolyn Dicey Jennings, Patrice Cobb, Bryan Kerster, Chelsea Gordon, Angelo Kyrilov, Evette Montes, Sam Spevack, David W. Vinson & Justin Vlasits - 2016 - APA Grant Funds: Previously Funded Projects.
    Academic Placement Data and Analysis (APDA), a project funded by the American Philosophical Association (APA) and headed by Carolyn Dicey Jennings (UC Merced), aims “to make information on academic job placement useful to prospective graduate students in philosophy.” The project has just been updated to include new data, which Professor Jennings describes in a post at New APPS. She also announces a new interactive data tool with which one can sift through and sort information. (from Daily (...)
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  18.  29
    Machine Learning for Characterization and Analysis of Microstructure and Spectral Data of Materials.Venkataramaiah Gude - 2023 - International Journal of Intelligent Systems and Applications in Engineering 12 (21):820 - 826.
    In the contemporary world, there is lot of research going on in creating novel nano materials that are essential for many industries including electronic chips and storage devices in cloud to mention few. At the same time, there is emergence of usage of machine learning (ML) for solving problems in different industries such as manufacturing, physics and chemical engineering. ML has potential to solve many real world problems with its ability to learn in either supervised or unsupervised means. It is (...)
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  19. 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 perform (...)
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  20.  46
    Comprehensive Inspection and Analysis of Water Distribution Lines.Goli Shiva Ram - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (8):1-14.
    This IoT-based water quality monitoring system ensures good water quality in distribution lines by monitoring pH value, flow rate, and conductivity level in real-time. Utilizing Arduino, pH, flow, and conductivity sensors, and ESP8266 WiFi module, the system analyses data and sends automated alerts to authorized personnel's Android devices. This automated monitoring enhances public health, provides real-time data analysis, and enables remote monitoring, making it an efficient solution for water distribution plants to maintain optimal water quality.
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  21. Non-Conscious Data Collection: A Critical Analysis of Risks and Public Perspectives.Matomäki Sofia - 2024 - Dissertation, Aalto University School of Business
    This literature review explores the issues and risks in non-conscious data collection and evaluates people’s attitudes towards it. In the modern world, data is one of the most valuable resources, yet studies focused on the potential negative implications of the new data-driven technologies are lacking. Therefore, this thesis conducts a comprehensive literature review to identify and assess risks in non-conscious data collection technologies that are most relevant and referenced in current literature. Accordingly, the most prominent risks (...)
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  22. Exploring age-related patterns in internet access: Insights from a secondary analysis of New Zealand survey data.Edgar Pacheco - 2024 - Media Peripheries 18 (1):38-56.
    About thirty years ago, when the Internet started to be commercialised, access to the medium became a topic of research and debate. Up-to-date evidence about key predictors, such as age, is crucial because of the Internet's ever-changing nature and the challenges associated with gaining access to it. This paper aims to give an overview of New Zealand's Internet access trends and how they relate to age. It is based on secondary analysis of data from a larger online panel (...)
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  23. Macro-Scale Population Patterns in the Kofun Period of the Japanese Archipelago: Quantitative Analysis of a Larger Sample of Three-Dimensional Data from Ancient Human Crania.Hisashi Nakao, Akihiro Kaneda, Kohei Tamura, Koji Noshita & Tomomi Nakagawa - 2024 - Humans 4 (2):131–147.
    The present study collected a larger set of three-dimensional data on human crania from the Kofun period (as well as from previous periods, i.e., the Jomon and Yayoi periods) in the Japanese archipelago (AD 250 to around 700) than previous studies. Three-dimensional geometric morphometrics were employed to investigate human migration patterns in finer-grained phases. These results are consistent with those of previous studies, although some new patterns were discovered. These patterns were interpreted in terms of demic diffusion, archaeological findings, (...)
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  24. Data quality, experimental artifacts, and the reactivity of the psychological subject matter.Uljana Feest - 2022 - European Journal for Philosophy of Science 12 (1):1-25.
    While the term “reactivity” has come to be associated with specific phenomena in the social sciences, having to do with subjects’ awareness of being studied, this paper takes a broader stance on this concept. I argue that reactivity is a ubiquitous feature of the psychological subject matter and that this fact is a precondition of experimental research, while also posing potential problems for the experimenter. The latter are connected to the worry about distorted data and experimental artifacts. But what (...)
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  25. CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis.Oliver He, John Beverley, Gilbert S. Omenn, Barry Smith, Brian Athey, Luonan Chen, Xiaolin Yang, Junguk Hur, Hsin-hui Huang, Anthony Huffman, Yingtong Liu, Yang Wang, Edison Ong & Hong Yu - 2020 - Scientific Data 181 (7):5.
    Ontologies, as the term is used in informatics, are structured vocabularies comprised of human- and computer-interpretable terms and relations that represent entities and relationships. Within informatics fields, ontologies play an important role in knowledge and data standardization, representation, integra- tion, sharing and analysis. They have also become a foundation of artificial intelligence (AI) research. In what follows, we outline the Coronavirus Infectious Disease Ontology (CIDO), which covers multiple areas in the domain of coronavirus diseases, including etiology, transmission, epidemiology, (...)
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  26. Data Analytics in Higher Education: Key Concerns and Open Questions.Alan Rubel & Kyle M. L. Jones - 2017 - University of St. Thomas Journal of Law and Public Policy 1 (11):25-44.
    “Big Data” and data analytics affect all of us. Data collection, analysis, and use on a large scale is an important and growing part of commerce, governance, communication, law enforcement, security, finance, medicine, and research. And the theme of this symposium, “Individual and Informational Privacy in the Age of Big Data,” is expansive; we could have long and fruitful discussions about practices, laws, and concerns in any of these domains. But a big part of the (...)
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  27. Students' awareness, willingness and utilisation of facebook for research data collection: Multigroup analysis with age and gender as control variables.Valentine Joseph Owan, Moses Eteng Obla, Michael Ekpenyong Asuquo, Mercy Valentine Owan, Godian Patrick Okenjom, Stephen Bepeh Undie, Joseph Ojishe Ogar & Kelechi Victoria Udeh - 2023 - Journal of Pedagogical Research 7 (4):369-399.
    Previous research has extensively analysed teachers' and students' Facebook use for instructional engagement, writing, research dissemination and e-learning. However, Facebook as a data collection mechanism for research has scarcely been the subject of previous studies. The current study addressed these gaps by analysing students' awareness, willingness, and utilisation of Facebook for research data collection [RDC]. This study aimed to predict students’ Facebook use for research data collection based on their awareness and willingness and to determine age and (...)
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  28. Research Data Preservation Practices of Library and Information Science Faculties.A. Subaveerapandiyan & Anuradha Maurya - 2022 - Defence Journal of Library and Information Science Technology 42 (4):259-264.
    Digitisation of research data is widely increasing all around the world because it needs more and development of enormous digital technologies. Data curation services are starting to offer many libraries. Research data curation is the collective invaluable and reusable information of the researchers. Collected data preservation is more important. The majority of the higher education institutes preserved the research data for their students and researchers. It is stored for a long time using various formats. It (...)
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  29. Data management practices in Educational Research.Valentine Joseph Owan & Bassey Asuquo Bassey - 2019 - In P. N. Ololube & G. U. Nwiyi (eds.), Encyclopedia of institutional leadership, policy, and management: A handbook of research in honour of Professor Ozo-Mekuri Ndimele. pp. 1251-1265.
    Data is very important in any research experiment because it occupies a central place in making decisions based on findings resulting from the analysis of such data. Given its central role, it follows that such an important asset as data, deserve effective management in order to protect the integrity and provide an opportunity for effective problem-solving. The main thrust of this paper was to examine data management practices that should be adopted by scholars in maintaining (...)
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  30. What makes readers love a fiction book: A statistical analysis on Wild Wise Weird using real-world data from Amazon readers' reviews.Minh-Hoang Nguyen, Ni Putu Wulan Purnama Sari, Minh-Phuong Thi Duong, Manh-Tung Ho, Thi Mai Anh Tran, Dan Li, Phuong-Tri Nguyen, Hong-Hoa Thi Nguyen & Viet-Phuong La - manuscript
    For centuries, fiction—particularly fables—has seamlessly combined storytelling, moral lessons, and societal reflections to engage readers on both emotional and intellectual levels. Despite extensive research on the benefits of reading and the emotional responses it evokes, a critical gap remains in understanding what drives readers to form deep emotional connections with specific works. This study seeks to identify the characteristics of a book that foster such connections. Using Bayesian Mindsponge Framework analytics, we analyzed a dataset of 129 Amazon reviews of Wild (...)
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  31. Sentiment analysis on online social network.Vijaya Abhinandan - forthcoming - International Journal of Computer Science, Information Technology, and Security.
    A large amount of data is maintained in every Social networking sites.The total data constantly gathered on these sites make it difficult for methods like use of field agents, clipping services and ad-hoc research to maintain social media data. This paper discusses the previous research on sentiment analysis.
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  32. Comparative views on research productivity differences between major social science fields in Vietnam: Structured data and Bayesian analysis, 2008-2018.Quan-Hoang Vuong, La Viet Phuong, Vuong Thu Trang, Ho Manh Tung, Nguyen Minh Hoang & Manh-Toan Ho - manuscript
    Since Circular 34 from the Ministry of Science and Technology of Vietnam required the head of the national project to have project results published in ISI/Scopus journals in 2014, the field of economics has been dominating the number of nationally-funded projects in social sciences and humanities. However, there has been no scientometric study that focuses on the difference in productivity among fields in Vietnam. Thus, harnessing the power of the SSHPA database, a comprehensive dataset of 1,564 Vietnamese authors (854 males, (...)
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  33. Data Mining the Brain to Decode the Mind.Daniel Weiskopf - 2020 - In Fabrizio Calzavarini & Marco Viola (eds.), Neural Mechanisms: New Challenges in the Philosophy of Neuroscience. Springer.
    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 (...)
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  34. 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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  35. Attitudes Toward Mandatory COVID-19 Vaccination in Germany A representative analysis of data from the socio-economic panel for the year 2021.Christoph Schmidt-Petri, Carsten Schröder & Thomas Rieger - 2022 - Deutsches Ärzteblatt International 119:335-41.
    Background: Adequate immunity to COVID-19 apparently cannot be attained in Germany by voluntary vaccination alone, and therefore the introduction of mandatory COVID-19 vaccination is still under consideration. We present findings on the potential acceptance of such a requirement by the German population, and we report on the reasons given for accepting or rejecting it and how these reasons vary according to population subgroup. -/- Methods: We used representative data from the Socio-Economic Panel for the period January to December 2021. (...)
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  36. Are generics and negativity about social groups common on social media? A comparative analysis of Twitter (X) data.Uwe Peters & Ignacio Ojea Quintana - 2024 - Synthese 203 (6):1-22.
    Many philosophers hold that generics (i.e., unquantified generalizations) are pervasive in communication and that when they are about social groups, this may offend and polarize people because generics gloss over variations between individuals. Generics about social groups might be particularly common on Twitter (X). This remains unexplored, however. Using machine learning (ML) techniques, we therefore developed an automatic classifier for social generics, applied it to 1.1 million tweets about people, and analyzed the tweets. While it is often suggested that generics (...)
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  37. Research participants’ perceptions and views on consent for biobank research: a review of empirical data and ethical analysis.Flavio D’Abramo, Jan Schildmann & Jochen Vollmann - 2015 - BMC Medical Ethics 16 (1):60.
    Appropriate information and consent has been one of the most intensely discussed topics within the context of biobank research. In parallel to the normative debate, many socio-empirical studies have been conducted to gather experiences, preferences and views of patients, healthy research participants and further stakeholders. However, there is scarcity of literature which connects the normative debate about justifications for different consent models with findings gained in empirical research. In this paper we discuss findings of a limited review of socio-empirical research (...)
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  38. 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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  39. 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 Chen Jake & Lonardi Stefano (eds.), Biological Data Mining. 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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  40. (1 other version)Enabling posthumous medical data donation: an appeal for the ethical utilisation of personal health data.Jenny Krutzinna, Mariarosaria Taddeo & Luciano Floridi - 2019 - Science and Engineering Ethics 25 (5):1357-1387.
    This article argues that personal medical data should be made available for scientific research, by enabling and encouraging individuals to donate their medical records once deceased, similar to the way in which they can already donate organs or bodies. This research is part of a project on posthumous medical data donation developed by the Digital Ethics Lab at the Oxford Internet Institute at the University of Oxford. Ten arguments are provided to support the need to foster posthumous medical (...)
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  41. A Framework Proposal for Developing Historical Video Games Based on Player Review Data Mining to Support Historic Preservation.Sarvin Eshaghi, Sepehr Vaez Afshar & Mahyar Hadighi - 2023 - In Saif Haq, Adil Sharag-Eldin & Sepideh Niknia (eds.), ARCC 2023 CONFERENCE PROCEEDING: The Research Design Interface. Architectural Research Centers Consortium, Inc.. pp. 297-305.
    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 (...)
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  42. Reconciling Data Actionability and Accountability in Global Health Research.Nathanael Sheehan & Sabina Leonelli - manuscript
    All too often, the requirements for actionability and accountability of data infrastructures are conceptualised as incompatible and leading to a trade-off situation where increasing one will unavoidably decrease the other. Through a comparative analysis of two data infrastructures used to share genomic data about the SARS-COV-2 virus, we argue that making data actionable for knowledge development involves a commitment to ensuring that the data in question are representative of the phenomena being studied and accountable (...)
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  43. Methodology for semantic enhancement of intelligence data.Barry Smith, Tatiana Malyuta & William Mandrick - 2013 - CUBRC Report.
    What follows is a contribution to the horizontal integration of warfighter intelligence data as defined in Chairman of the Joint Chiefs of Staff Instruction J2 CJCSI 3340.02AL: -/- Horizontally integrating warfighter intelligence data improves the consumers’ production, analysis and dissemination capabilities. HI requires access (including discovery, search, retrieval, and display) to intelligence data among the warfighters and other producers and consumers via standardized services and architectures. These consumers include, but are not limited to, the combatant commands, (...)
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  44. Who's Anthropocene?: a data driven look at the prospects for collaboration between natural science, social science, and the humanities.Carlos Santana, K. Petrozzo & Timothy Perkins - 2024 - Digital Scholarship in the Humanities 39 (2):723-735.
    Although the idea of the Anthropocene originated in the earth sciences, there have been increasing calls for questions about the Anthropocene to be addressed by pan-disciplinary groups of researchers from across the natural sciences, social sciences, and humanities. We use data analysis techniques from corpus linguistics to examine academic texts about the Anthropocene from these disciplinary families. We read the data to suggest that barriers to a broadly interdisciplinary study of the Anthropocene are high, but we are (...)
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  45. Predictive Analysis of Lottery Outcomes Using Deep Learning and Time Series Analysis.Asil Mustafa Alghoul & Samy S. Abu-Naser - 2023 - International Journal of Engineering and Information Systems (IJEAIS) 7 (10):1-6.
    Abstract: Lotteries have long been a source of fascination and intrigue, offering the tantalizing prospect of unexpected fortunes. In this research paper, we delve into the world of lottery predictions, employing cutting-edge AI techniques to unlock the secrets of lottery outcomes. Our dataset, obtained from Kaggle, comprises historical lottery draws, and our goal is to develop predictive models that can anticipate future winning numbers. This study explores the use of deep learning and time series analysis to achieve this elusive (...)
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  46. An Exploratory Analysis of the Development of Philippine Regions.Starr Clyde Sebial - 2019 - International Journal of Innovation, Creativity and Change 8 (2):129-145.
    The Philippines is one of the fast-growing economies in the South-East Asian and the Pacific region. This study considered eight factors: HEI PRC rate, crime rate, education, employment, health, poverty, income, and basic family amenities of the 17 regions of the country, all taken from the year 2012 databases of the Philippine Statistics Authority (PSA), the Philippine Institute for Development Studies (PIDS) and Open Data Philippines. Principal Component Analysis (PCA) generated the indices of the six factors and Cluster (...)
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  47. 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 (...)
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  48. An Analysis of the Relationship between Foreign Trade and Economic Growth in Myanmar during 1990-2014.Kyaw Kyaw Lynn - 2014 - International Journal of Business and Administrative Studies 1 (4):114-131.
    This study analyzes the relationship between foreign trade and economic growth in Myanmar over the period 1990-2014. It covers the annual data of GDP, Export and Import of Myanmar from 1980 to 2014. This study adopts two major methodological approaches – exploratory data analysis and descriptive analysis. For the first approach, Augmented Dickey-Fuller (ADF) unit root test and Granger causality test are used under the framework of Vector Autoregressive (VAR) model, which have almost never been studied (...)
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  49. Consideration on the Flow Velocity in the Experimental Analysis of the Flame Displacement Speed Using DNS Data of Turbulent Premixed Flames with Different Lewis Numbers.Kazuya Tsuboi - 2014 - Open Journal of Fluid Dynamics 4 (3):278-287.
    The flame displacement speed is one of the major characteristics in turbulent premixed flames. The flame displacement speed is experimentally obtained from the displacement normal to the flame surface, while it is numerically evaluated by the transport equation of the flame surface. The flame displacement speeds obtained both experimentally and numerically cannot be compared directly because their definitions are different. In this study, two kinds of experimental flame displacement speeds—involving the mean inflow velocity and the local flow velocity—were simulated using (...)
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  50. 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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