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Data Science with SQL Server Quick Start Guide
Sarka, Dejan ; Sarka, Dejan ; Sarka, Dejan ; et al.
Linking data science to lean production: a model to support lean practices.
Pozzi, Rossella ; Cannas, Violetta Giada ; Ciano, Maria Pia
International Journal of Production Research. Nov2022, Vol. 60 Issue 22, p6866-6887. 22p. 3 Diagrams, 4 Charts.
Performance and Scalability of Data Cleaning and Preprocessing Tools: A Benchmark on Large Real-World Datasets.
Martins, Pedro ; Cardoso, Filipe ; Váz, Paulo ; et al.
Data (2306-5729); May2025, Vol. 10 Issue 5, p68, 22p
A business intelligence based solution to support academic affairs: case of Taibah University.
Boulila, Wadii ; Al-kmali, Muhib ; Farid, Mohammed ; et al.
Wireless Networks (10220038); Apr2023, Vol. 29 Issue 3, p1051-1058, 8p
Tell your story: Metrics of success for academic data science collaboration and consulting programs.
Blake, Mara Rojeski ; Griffith, Emily ; Pierce, Steven J. ; et al.
Stat; Jun2024, Vol. 13 Issue 2, p1-9, 9p
Extensible Query Optimizers in Practice.
Ding, Bailu ; Narasayya, Vivek ; Chaudhuri, Surajit
Foundations & Trends in Databases; 2024, Vol. 14 Issue 3/4, p186-402, 217p
The R Language: An Engine for Bioinformatics and Data Science.
Giorgi, Federico M. ; Ceraolo, Carmine ; Mercatelli, Daniele
Life (2075-1729); May2022, Vol. 12 Issue 5, p648-648, 25p
Meeting Abstracts from the 5th National Big Data Health Science Conference.
BMC Proceedings; 5/16/2024, Vol. 18 Issue 8, p1-33, 33p
Easy-to-Use Cloud Computing for Teaching Data Science.
Kim, Brian ; Henke, Graham
Journal of Statistics & Data Science Education; 2021 Supplement, Vol. 29, pS103-S111, 9p
Stone Soup: Cooking Up Custom Solutions with SQL Server Machine Learning.
Takaki-Nelson, Jeannine
CODE Magazine; Nov/Dec2019, p32-43, 12p
A brief survey on big data: technologies, terminologies and data-intensive applications.
Abdalla, Hemn Barzan
Journal of Big Data; 11/17/2022, Vol. 9 Issue 1, p1-36, 36p
METHODOLOGY BASED ON MLOPS (MACHINE LEARNING OPERATIONS) FOR MANAGEMENT SUPPORT IN DATA SCIENCE PROJECTS.
Ordonez Bolanos, Angela A. ; Ramirez-Gonzalez, Gustavo ; Gómez, Jorge Gómez ; et al.
Colombian Journal of Advanced Technologies / Revista Colombiana de Tecnologías de Avanzada; ene-jun2023, Vol. 1 Issue 41, p87-103, 17p
Critical assessment of on-premise approaches to scalable genome analysis.
Al-Aamri, Amira ; Kamarul Azman, Syafiq ; Daw Elbait, Gihan ; et al.
BMC Bioinformatics; 9/21/2023, Vol. 24 Issue 1, p1-27, 27p
A Comparative Analysis of Big Data Frameworks: An Adoption Perspective.
Khalid, Madiha ; Yousaf, Muhammad Murtaza
Applied Sciences (2076-3417); Nov2021, Vol. 11 Issue 22, p11033, 25p
Managing subject guides with SQL Server and ASP.Net
Greene, Araby
Library Hi Tech, 2008, Vol. 26, Issue 2, pp. 213-231.
A Comprehensive Framework to Enhance the Effectiveness of the Recruiting Experience for Data Science Graduates.
Triche, Jason ; Firth, David ; Harrington, Michael
Communications of the Association for Information Systems. 2016, Vol. 39, p1-15. 15p. 3 Diagrams, 1 Chart.
Fundamental Components and Principles of Supervised Machine Learning Workflows with Numerical and Categorical Data.
Kampezidou, Styliani I. ; Tikayat Ray, Archana ; Bhat, Anirudh Prabhakara ; et al.
Eng (2673-4117); Mar2024, Vol. 5 Issue 1, p384-416, 33p
SECTION II: DYNAMIC DEVELOPMENT.
SQL Server Magazine; May2008 Pocket Guide, Vol. 10, p28-55, 28p, 5 Charts
Chart Constellations: Effective Chart Summarization for Collaborative and Multi‐User Analyses.
Xu, Shenyu ; Bryan, Chris ; Li, Jianping Kelvin ; et al.
Computer Graphics Forum. Jun2018, Vol. 37 Issue 3, p75-86. 12p. 2 Color Photographs, 3 Diagrams, 1 Chart, 5 Graphs.
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