Data Science: A Comprehensive Overview

Cited by (408)

Items 101–200 of 408

1. Application of data elements in the coupling of finance and technology on the digital electronic platform
   Wenjun Xie, Renxiang Wang · 2023 · Electronic Commerce Research
2. Fatores que podem interferir no desempenho de estudantes no ENEM: uma revisão sistemática da literatura
   Janderson Ferreira Dutra, João Batista Firmino Júnior, Damires Yluska de Souza Fernandes · 2023 · Revista Brasileira de Informática na Educação
3. A Conceptual Approach for Supporting Traffic Data Wrangling Tasks
   Sandra Sampaio, Mashael Aljubairah, Hapsoro Adi Permana · 2018 · The Computer Journal
4. Passing the Data Baton: A Retrospective Analysis on Data Science Work and Workers
   Anamaria Crisan, Brittany Fiore-Gartland, Melanie K. Tory · 2020 · IEEE Visualization in Data Science (VDS)
5. A Multidisciplinary Perspective on Publicly Available Sports Data in the Era of Big Data: A Scoping Review of the Literature on Major League Baseball
   Jyh-How Huang, Yu-Chia Hsu · 2021 · SAGE Open
6. Data Analysts and Their Software Practices: A Profile of the Sabermetrics Community and Beyond
   Justin Middleton, Emerson R. Murphy-Hill, Kathryn Thomasset Stolee · 2020 · Proceedings of the ACM on Human-Computer Interaction
7. Data science for service design: An introductory overview of methods and opportunities
   Youetta Kunneman, Mauricy Alves da Motta Filho, Jasper van der Waa · 2022 · The Design Journal
8. Transforming research methods education through data science literacy
   Michael Overton, Stephen W. Kleinschmit · 2022 · Teaching Public Administration
9. CREATIVITY FORWARD: A FRAMEWORK THAT INTEGRATES DATA ANALYSIS TECHNIQUES TO FOSTER CREATIVITY WITHIN THE CREATIVE PROCESS IN USER EXPERIENCE CONTEXTS
   Juan Carlos Quiñones Gómez · 2021 · Creativity Studies
10. Spatial Big Data and Business Location Decision-Making: Opportunities and Challenges
    Joseph M. Aversa, Tony Hernández, Sean T. Doherty · 2020 · Springer eBooks
11. Application of a novel image moment computation in X‐ray and MRI image watermarking
    Manoj K. Singh, Sanoj Kumar, Musrrat Ali · 2020 · IET Image Processing
12. Unpacking human systems in data science innovations: Key innovator perspectives
    Keyao Li, Mark Anthony Griffin · 2023 · Technovation
13. Recommended Practices for Python Pedagogy in Graduate Data Science Courses
    Nikhil Yadav, Joan E. DeBello · 2019 · 2022 IEEE Frontiers in Education Conference (FIE)
14. Towards a Continuous Process Model for Data Science Projects
    Damian Kutzias, Claudia Dukino, Holger Kett · 2021 · Lecture notes in networks and systems
15. Synthesis of Data Science Competency for Higher Education Students
    Sajeewan Pratsri, Prachyanun Nilsook, Panita Wannapiroon · 2022 · International Journal of Education and Information Technologies
16. A secret agent? K-12 data science learning through the lens of agency
    Joshua M. Rosenberg, Ryan Seth Jones · 2022
17. AI for the Common Good?! Pitfalls, challenges, and ethics pen-testing
    Berendt, Bettina · 2019 · Paladyn, Journal of Behavioral Robotics
18. The Integration of Artificial Intelligence, Big Data, and IoT in E-Recruitment and Selection: A Systematic Review
    Dimitrios Antoniadis, Panagiotis G. Giannopoulos, Vangelis Malamas, Panos T. Chountalas, Yannis Pollalis, Thomas K. Dasaklis · 2024 · Pan-Hellenic Conference on Progress in Computing and Informatics (PCI)
19. Bibliometric cartography of data science: a large-scale analysis on knowledge integration and diffusion
    Hongkan Chen, Jinchang Liu, Win-Bin Huang, Yi Bu · 2025 · EPJ Data Science
20. An Empirical Study on Big Data Model and Visualization of Internet+ Teaching
    Zhang Hua, Sang‐Bing Tsai · 2021 · Mathematical Problems in Engineering · Retracted
21. Embedding Data Science into Computer Science Education
    Ismail Bile Hassan, Jigang Liu · 2019 · IEEE International Conference on Electro Information Technology
22. Industrial analytics – An overview
    Christoph Gröger · 2022 · it - Information Technology
23. The Impact of AI on Business, Economics and Innovation
    Ana Landeta Echeberría · 2022 · Springer eBooks
24. Data science education programmes in Middle Eastern institutions: A survey study
    Mahmoud Sherif Zakaria · 2022 · IFLA Journal
25. Quant data science meets dexterous artistry
    Ivo D. Dinov · 2018 · International Journal of Data Science and Analytics
26. Agile approach to a CS2-based course using the Jupyter notebook in lab classes
    Hélia Guerra, Luís Mendes Gomes, Alberto Cardoso · 2019 · Experiment@International Conference
27. A Comparative Study of the Academic Programs between Informatics/BioInformatics and Data Science in the U.S.
    Ismail Bile Hassan, Jigang Liu · 2020 · IEEE Annual Computers, Software, and Applications Conference (COMPSAC)
28. ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
    Chen, Ziru, Chen, Shijie, Ning, Yuting, Zhang, Qianheng, Wang, Boshi, Yu, Botao, Li, Yifei, Liao, Zeyi, Wei, Chen, Lu, Zitong et al. · 2024 · arXiv
29. Scalable coaxial wet-spinning of core-shell triboelectric fibers for self-powered smart fabrics
    Zhihao Peng, Ying Chen, Xulong Zheng · 2025 · Chemical Engineering Journal
30. Advances in the Application of Machine Learning in Composite Materials
    Jinrong Shi, Yantao Gao, Zan Lu · 2026 · Applied Composite Materials
31. Value Creation from Data Science Applications - A Literature Review
    Matthias Pohl, Christian Haertel, Klaus Turowski · 2023 · Lecture notes in business information processing
32. Exploring data-driven model-based systems engineering: a systematic literature review
    Denis Tissen, Ingrid Wiederkehr, Christian Koldewey · 2023 · IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)
33. The Data Science Era
    Longbing Cao · 2018 · Data analytics
34. Data Lakes auf den Grund gegangen
    Corinna Giebler, Christoph Gröger, Eva Hoos · 2020 · Datenbank-Spektrum
35. Cross-Disciplinary Faculty Development in Data Science Principles for Classroom Integration
    Brandeis H. Marshall, Susan Geier · 2020 · ACM Technical Symposium on Computer Science Education (SIGCSE)
36. DATA MINING USING CRISP-DM PROCESS FRAMEWORK ON OFFICIAL STATISTICS: A CASE STUDY OF EAST JAVA PROVINCE
    Gunawan Gunawan · 2022 · Jurnal Ekonomi dan Pembangunan
37. Data Science with Semantic Technologies: Application to Information Systems Development
    Sihem Ben Sassi, Nacim Yanes · 2023 · Journal of Computer Information Systems
38. Early Detection and Quantification of Osteoarthritis Severity in Knee Using Support Vector Machine with Improved Accuracy Compared to Convolutional Neural Network
    K. Sagar Raju, V. Amudha, Natarajan Meenakshisundaram · 2023 · International Conference on Science Technology Engineering and Mathematics (ICONSTEM)
39. The past, the present, and the future of information and data sciences: A pragmatic view
    Chirag Suresh Shah · 2023 · Data and Information Management
40. A Comprehensive Review on Data Science Frameworks for Big Data Analytics
    Hassan Raza, Tsendayush Erdenetsogt, A Singh · 2026 · Perfect.
41. Divisi: Interactive Search and Visualization for Scalable Exploratory Subgroup Analysis
    Venkatesh Sivaraman, Zexuan Li, Adam Perer · 2025 · CHI Conference on Human Factors in Computing Systems
42. Data science strategies leading to the development of data scientists’ skills in organizations
    Maria José Sousa, Maria José Sousa, Pere Mercadé Melé · 2021 · Neural Computing and Applications
43. Data Science Education Based on ADDIE Model and the EDISON Framework
    Rogério Rossi · 2021 · International Conference on Big Data Engineering and Education (BDEE)
44. Comparing Decentralized Learning Methods for Health Data Models to Nondecentralized Alternatives: Protocol for a Systematic Review
    José Miguel Diniz, Henrique Vasconcelos, Júlio Souza, Rita Rb-Silva, Carolina Ameijeiras-Rodriguez, Alberto Freitas · 2023 · JMIR Research Protocols
45. Theoretical data science: Bridging the gap between domain-general and domain-specific studies
    2021 · Data Science and Informetrics
46. Artificial Intelligence in a New Context: “Internal” and “External” Factors
    Wenceslao J. González · 2017 · Minds and Machines
47. The Impact and Importance of Statistics in Data Science
    Pallavi Gupta, V. Kolhe Nitin · 2020 · International Journal of Computer Applications
48. Ballerinas as analysts: Former ballet dancers’ transfer of 21st century skills to careers as data analysts
    Sarah Egan Warren · 2021 · Industry and Higher Education
49. Are you talking to me? – calling laypersons in the sphere of data economy ecosystems
    Sari Knaapi-Junnila, Minna M. Rantanen, Jani Simo Sakari Koskinen · 2022 · Information Technology and People
50. Generative AI in Data Science Programming: Differences in Performance Between Groups With and Without AI-assistance
    Tenzin Doleck, Pedram Agand, Dylan Pirrotta · 2025 · Education and Information Technologies
51. Advancing life cycle assessment through data science: A critical review of algorithms, tools, and data challenges
    Sofia Bahmutsky, Ian Turner, Vivek Arulnathan · 2025 · Sustainable Production and Consumption
52. Visual Data Science for Industrial Applications
    Tobias Schreck, Belgin Mutlu, Marc Streit · 2023 · Springer eBooks
53. Knowledge Management for the Digital Transformation of Enterprises – Literature Based Trend Analysis
    Marcus Wolf, Christian Erfurth · 2019 · Communications in computer and information science
54. Applying Human-Centered Data Science to Healthcare: Hyperlocal Modeling of COVID-19 Hospitalizations
    Victoria Chui, Jessica Annette Pater, Tammy Toscos · 2022
55. From self-descriptions (SD) to self-recommendations (SR): Evolving Gaia-X for the future European economy
    Vincent Geilenberg, Wolfgang H. Schulz, Jonathan J. Mize, Henrik Kleis · 2024 · International Journal of Information Management Data Insights
56. A review on the role of statistical tools in effective functionality of data science
    Ravikiran Goolla, Manoharan Geetha, K. Rajyalakshmi · 2024 · AIP conference proceedings
57. Data Curation: Towards a Tool for All
    José Dias, Jácome Cunha, Rui Pereira · 2020 · Interacción
58. Ciencia de datos en salud: desafíos y oportunidades en América Latina
    Juan Manuel Rosa, Eliana Ludmila Frutos · 2022 · Revista Médica Clínica Las Condes
59. Bibliometric Analysis of Data Science: Trends, Contributions, and Research Developments
    Muhamad Juliardi, Ibnu Malik · 2023 · West Science Interdisciplinary Studies
60. Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories
    Julian Weller, Nico Migenda, Yash Naik, Tim Heuwinkel, Arno Kühn, Martin Kohlhase, Wolfram Schenck, Roman Dumitrescu · 2024 · Mathematics
61. Strategies and Challenges in Big Data: A Short Review
    D. K. Santhosh Kumar, Demian Antony D’Mello · 2019 · Advances in intelligent systems and computing
62. Official Statistics 4.0: The Era of Digitisation and Globalisation
    Walter J. Radermacher · 2019 · Springer eBooks
63. Analytical Engineering for Data Stream
    Rogério Rossi, Kechi Hirama · 2022 · Journal of Computer and Communications
64. The strategic role of higher education in promoting entrepreneurship and managing innovation complexities: a conceptual framework analysis
    Jamiu Agbolade Ogunsola, Ganiyu Oluwaseyi Quadri, Olufemi Timothy Adigun · 2026 · Journal of Innovation and Entrepreneurship
65. Designing smart universities for partnerships: Governance, data and stakeholder indicators in public HEIs
    Valeria Yarad Jeada, Nelly Carolina Larrea Astudillo, Efraín R. Fonseca C. · 2026 · Industry and Higher Education
66. Implementation of Big Data Analytics for Government Enterprise
    Namhla Matiwane, Tiko Iyamu · 2021 · IGI Global eBooks
67. Analytics: What Do Business Majors Need and Where Do They Get It?
    Natalie Gerhart, Elham Rastegari, Emma Cole · 2024 · Journal of Statistics and Data Science Education
68. How are library cataloging metadata used differently over time: a large-scale quantitative analysis of the Library of Congress catalog
    Kai Li, Brian Dobreski, Molly Busch · 2025 · Journal of Documentation
69. Power Business Intelligence in the Data Science Visualization Process to Forecast CPO Prices
    Albara Albara, Al-Khowarizmi Al-Khowarizmi, Riyan Pradesyah · 2021 · International Journal Of Science Technology & Management
70. Data science and data analytics in life science research
    Jürgen Bajorath · 2023 · Artificial Intelligence in the Life Sciences
71. Incorporating Morris' Design Thoughts for AI and Big Data-Enabled Coverage Optimization in China's Wireless Communication Network
    Feifei Song · 2023 · Journal of Information Systems Engineering & Management
72. Conceptual Framework for Prescriptive Analytics Based on Decision Theory in Smart Factories
    Julian Weller, Nico Migenda, Arthur Wegel · 2023 · IEEE International Conference on Advances in Data-Driven Analytics and Intelligent Systems (ADACIS)
73. Towards a High Level Linter for Data Science
    Greta Dolcetti, Agostino Cortesi, Caterina Urban · 2024
74. AI-Assisted Analytics – An Automated Approach to Data Visualization
    Alberto Alves, João Moura Pires, Maribel Yasmina Santos, Andreia Almeida, Ana León Palacio · 2024 · Lecture notes in computer science
75. Comparing econometric and machine learning models to fare evasion prediction
    Benedetto Barabino, Roberto Ventura · 2025 · Transportation Research Interdisciplinary Perspectives
76. Non-numerical nearest neighbor classifiers with value-object hierarchical embedding
    Sheng Luo, Duoqian Miao, Zhifei Zhang · 2020 · Expert Systems with Applications
77. Comprehensive Study: Machine Learning & Deep Learning Algorithms for Paddy Crops
    K Anandhan., Ajay Shanker Singh, K.S Thirunavukkarasu · 2021 · International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
78. Başlığında “Data Science” İfadesi Geçen Uluslararası Kongrelerde Sunulan Bildiri Özetlerinin Metin Madenciliği Yöntemleri İle İncelenmesi
    Hande Konşuk Ünlü · 2022 · Nicel Bilimler Dergisi
79. What Can Be Learnt from Experienced Data Scientists? A Case Study
    Leah Riungu-Kalliosaari, Marjo Kauppinen, Tomi Männistö · 2017 · Lecture notes in computer science
80. A systematic mapping study on agent mining
    Emmanuelle Grislin-Le Strugeon, Káthia Marçal de Oliveira, Marie Thilliez, Dorian Petit · 2021 · Journal of Experimental & Theoretical Artificial Intelligence
81. Using Data Science Software to Address Health Disparities
    Jose Huerta, Gayle Trofe Prybutok, Victor R. Prybutok · 2021 · International Journal of Big Data and Analytics in Healthcare
82. NPARS—A Novel Approach to Address Accuracy and Reproducibility in Genomic Data Science
    Li Ma, Erich Allen Peterson, Ik Jae Shin, Jason L. Muesse, Katy Marino, Matthew A. Steliga, Donald Joseph Johann · 2021 · Frontiers in Big Data
83. Data science and climate risk analytics
    Stephan R. Sain · 2022 · Environmetrics
84. AI, ML, & Robotics in iSchools: An Academic Analysis for an Intelligent Societal Systems
    Prantosh Paul · 2021 · Wiley eBooks
85. A systematic review of clinical health conditions predicted by machine learning diagnostic and prognostic models trained or validated using real-world primary health care data
    Hebatullah Mohamed Abdulazeem, Sera Whitelaw, Gunther Schauberger, Stefanie J. Klug · 2022 · medRxiv
86. Generative AI for autonomous data analytics
    Mattheos Fikardos, Katerina Lepenioti, Alexandros Bousdekis, Dimitris Apostolou, Gregoris N. Mentzas · 2026 · Intelligent Systems with Applications
87. Analysis of High School Students’ Perceptions of the‘Data Science’ Subject in the 2022 Revised Curriculum
    Hyunhee Jun, JaMee Kim · 2026 · The Journal of Korean Association of Computer Education
88. Algorithmic ethics in corporate contexts: Knowledge mapping for responsible management
    Santiago Barreno-Alcalde, Alberto-Tomas Delso-Vicente, Adriana Rivera-Heredia · 2026 · Journal of Management & Organization
89. A knowledge-based intelligent decision support framework integrating symbolic reasoning and swarm intelligence for redundancy allocation
    Joanna Szkutnik‐Rogoż, Tadeusz Nowicki · 2026 · Knowledge-Based Systems
90. Training data scientists: a few challenges
    Gilbert Saporta · 2018 · International Journal of Data Science and Analytics
91. Data objects for knowing
    Fred Fonseca · 2021 · AI & Society
92. Master’s Degree in Health Data Science: Implementation and Assessment After Five Years
    Antoine Lamer, Naima Oubenali, Romaric Marcilly · 2022 · Studies in health technology and informatics
93. A Complete and Comprehensive Semantic Perception of Mobile Traveling for Mobile Communication Services
    Guoying Qiu, Guoming Tang, Chuandong Li, Lailong Luo, Deke Guo, Yulong Shen · 2023 · IEEE Internet of Things Journal
94. Machine Learning Applications in Adsorption of Water Pollutants
    Victor Odhiambo Shikuku, Newton Wafula Masinde · 2023 · Advances in environmental engineering and green technologies book series
95. An ID3 Decision Tree Algorithm-Based Model for Predicting Student Performance Using Comprehensive Student Selection Data at Telkom University
    Sri Widaningsih, Wardani Muhamad, Robbi Hendriyanto, Heru Nugroho · 2023 · Ingénierie des systèmes d information
96. Data Scientist in Tourism: Needs, Skills, and Scope
    Sahil Sharma · 2023 · Springer international handbooks of education
97. Unveiling insights from unstructured wealth: a comparative analysis of clustering techniques on blockchain cryptocurrency data
    Ramzi A. Haraty, Salma Sobeh · 2024 · Advances in Computing and Engineering
98. The Role of Artificial Intelligence in Osteoarthritis
    Arash Azhideh, Atefe Pooyan, Ehsan Alipour · 2024 · Seminars in Roentgenology
99. Development of a Framework for Data-Supported Personas
    Eva Schirgi, Stefanie Hatzl, Katharina Moitzi · 2024 · IFIP advances in information and communication technology
100. Critical Success Factors in Data Analytics Projects: Insights from a Systematic Literature Review
     Nisa Demir, Banu Aysolmaz, Özden Özcan‐Top · 2024 · Lecture notes in computer science