Web and Big Data

Explore the innovative world of data science with "Web and Big Data" by Xin Wang, published by Springer Nature Switzerland AG in 2020. This comprehensive first edition spans an impressive 829 pages, delving into the critical topics of Big Data Analytics. The book compiles 42 full papers, 17 short papers, and 6 demonstration papers, all meticulously reviewed and selected from a pool of 180 submissions. The unique insights and research presented in this volume are essential for anyone looking to understand the evolving landscape of web technologies and big data. Perfect for researchers, students, and professionals alike, "Web and Big Data" serves as a vital resource in the field. Enhance your knowledge and stay ahead in the digital age with this essential read.