Web and Big Data

Discover the fascinating intersection of web technology and big data with "Web and Big Data" by Lei Chen. This comprehensive volume, published by Springer International Publishing AG in 2017, offers insights from the First International Joint Conference, APWeb-WAIM 2017, held in Beijing, China. With a substantial page count of 362, this first edition features 44 meticulously reviewed full papers, 32 short papers, and 10 demonstration papers, all selected from a remarkable pool of 240 submissions. Dive into the latest research and innovative practices that showcase how web advancements are transforming data analysis and applications. Ideal for academics, researchers, and enthusiasts in the field, "Web and Big Data" is an essential addition to your library. Don't miss out on the opportunity to enhance your understanding of this dynamic area of study!