Web and Big Data

Explore the cutting-edge research in the realm of data analysis with Web and Big Data by Jie Shao. This extensive volume, part of the Springer Nature collection, presents the thoroughly refereed proceedings from the Third International Joint Conference, APWeb-WAIM 2019, held in Chengdu, China. Inside its 433 pages, you will discover 42 full papers, 17 short papers, and 6 demonstration papers that have been meticulously selected from over 180 submissions, ensuring you receive only the highest quality insights in web and big data technologies. Published in 2019 by Springer Nature Switzerland AG, this paperback edition is a must-have for researchers and practitioners seeking to enhance their knowledge and stay at the forefront of advancements in data handling and processing. Ideal for academics and professionals alike, this book will deepen your understanding and inspire innovative applications in the ever-evolving field of big data.