Incoming Resources
- Principles and practices of big data, preparing, sharing, and analyzing complex information, Jules J. Berman
- Consumer data research, Edited by Paul Longley, James Cheshire and Alex Singleton
- Modern big data architectures, a multi-agent systems perspective, Dominik Ryżko
- Artificial Intelligence Applications for Smart Societies, Recent Advances, edited by Mohamed Elhoseny, K. Shankar, Mohamed Abdel-Basset
- Data analytics with Spark using Python, Jeffrey Aven
- Advanced analytics in Power BI with R and Python, ingesting, transforming, visualizing, Ryan Wade
- Cognitive big data intelligence with a metaheuristic approach, edited by Sushruta Mishra, Hrudaya Kumar Tripathy, Pradeep Kumar Mallick, Arun Kumar Sangaiah, Gyoo-Soo Chae
- Measuring the Business Value of Cloud Computing, edited by Theo Lynn, John G. Mooney, Pierangelo Rosati, Grace Fox
- Data science for librarians, Yunfei Du and Hammad Rauf Khan
- Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics, edited by Atsushi Nara, Ming-Hsiang Tsou
- Granular, Fuzzy, and Soft Computing, edited by Tsau-Young Lin, Churn-Jung Liau, Janusz Kacprzyk
- The book of alternative data, a guide for investors, traders and risk managers, Alexander Denev, Saeed Amen
- Data and society, a critical introduction, Anne Beaulieu & Sabina Leonelli
- Challenges and Solutions in the Digital Economy and Finance, Proceedings of the 5th International Scientific Conference on Digital Economy and Finances (DEFIN 2022), St.Petersburg 2022, edited by Anna Rumyantseva, Vladimir Plotnikov, Alexey Minin, Hod Anyigba
- Pattern recognition and big data, [edited by] Amita Pal, Sankar K Pal
- New Frontiers of Biostatistics and Bioinformatics, edited by Yichuan Zhao, Ding-Geng Chen
- Melinda Mills on sociogenomics, Podcast
- Law and Technology in a Global Digital Society, Autonomous Systems, Big Data, IT Security and Legal Tech, edited by Georg Borges, Christoph Sorge
- Introduction to high-dimensional statistics, Christophe Giraud
- High-performance big data computing, Dhabaleswar K. Panda, Xiaoyi Lu, and Dipti Shankar
- Data-driven law, data analytics and the new legal services, edited by Ed Walters
- The new big science, linking data to understand people in context, special editors: Sandra L. Hofferth, Emilio F. Moran
- Building big data applications, Krish Krishnan
- The influences of big data analytics, is big data a disruptive technology?, Dr. Joseph Aluya and Dr. Ossian L. Garraway
- Big Data, Algorithms and Food Safety, A Legal and Ethical Approach to Data Ownership and Data Governance, by Salvatore Sapienza
- Digital China, Big Data and Government Managerial Decision, edited by Qing Jiang
- The accidental data scientist, big data applications and opportunities for librarians and information professionals, by Amy L. Affelt ; foreword by Thomas H. Davenport
- Primer for Data Analytics and Graduate Study in Statistics, by Douglas Wolfe, Grant Schneider
- Applied data analytics, principles and applications
- Veracity of big data, machine learning and other approaches to verifying truthfulness, Vishnu Pendyala
- Make your data speak, creating actionable data through Excel for non-technical professionals, Alex Kolokolov
- Signal processing and networking for big data applications, Zhu Han, Mingyi Hong, Dan Wang
- Data architecture, a primer for the data scientist : big data, data warehouse and data vault, W.H. Inmon, Daniel Linstedt
- Energy's digital future, harnessing innovation for American resilience and national security, Amy Myers Jaffe
- Analyzing Dependent Data with Vine Copulas, A Practical Guide With R, by Claudia Czado
- Digital objects, digital subjects, interdisciplinary perspectives on capitalism, labour and politics in the age of big data, edited By David Chandler and Christian Fuchs
- Data Protection Law, A Comparative Analysis of Asia-Pacific and European Approaches, by Robert Walters, Leon Trakman, Bruno Zeller
- Big Data in Finance, Opportunities and Challenges of Financial Digitalization, edited by Thomas Walker, Frederick Davis, Tyler Schwartz
- The intelligent enterprise in the era of big data, Venkat Srinivasan
- Learning to love data science, explorations of emerging technologies and platforms for predictive analytics, machine learning, digital manufacturing, and supply chain optimization, Mike Barlow
- The handbook of data science and AI, generate value from data with machine learning and data analytics, Stefan Papp [and nine others]
- Seeing around corners, how to unlock the potential of big data, Graham Hogg
- Algorithmic regulation and personalized law, a handbook, edited by Christoph Busch, Alberto De Franceschi
- Artificial Intelligence in the Gulf, Challenges and Opportunities, edited by Elie Azar, Anthony N. Haddad
- Modern technologies for big data classification and clustering, Hari Seetha, M. Narasimha Murty, and B.K. Tripathy, editors
- Foundations of data intensive applications, large scale data analytics under the hood, Supun Kamburugamuve, Saliya Ekanayake
- Data analytics, concepts, techniques, and applications, edited by Mohiuddin Ahmed and Al-Sakib Khan Pathan
- Big data analytics., a social network approach, editors, Mrutyunjaya Panda, Aboul-Ella Hassanien, Ajith Abraham
- Big data, health law, and bioethics, edited by I. Glenn Cohen [and three others]
- Handbook of Big Geospatial Data, edited by Martin Werner, Yao-Yi Chiang