mining of massive datasets
Database / January 16, 2018

mining of massive datasets is a book authored by Jure Leskovec, Anand Rajaraman, and Jeffrey D. Ullman published by Cambridge University Press in 2014. This book consists of 513 pages and contains twelve chapters starting from Data Mining and than Map Reduce and the New Software Stack, Finding Similar Items, Mining Data Streams, Link Analysis, Frequent Itemsets,  Clustering, Advertising on the Web, Advertising on the Web, Recommendation Systems, Mining Social-Network Graphs, Dimensionality Reduction, and Large-Scale Machine Learning and at the end a list indexes is given. About the authors of mining of massive datasets: Jure Leskovec got a Diploma in Computer Science from the University of Ljubljana, Slovenia, in 2004 and a PhD in Computational and Statistical Learning from the Carnegie Mellon University in 2008. He is a partner teacher of Computer Science at Stanford University concentrating on systems. He is the main researcher at Pinterest. In 2008/09 he was a postdoctoral specialist at Cornell University working with Jon Kleinberg and Dan Huttenlocher. He finished his Ph.D. in Machine Learning Department, School of Computer Science at Carnegie Mellon University under the supervision of Christos Faloutsos in 2008.He did his college degree in software engineering at University of Ljubljana, Slovenia in 2004. Likewise work with the Artificial Intelligence Laboratory, Jozef Stefan Institute, Ljubljana, Slovenia. Dr. Anand Rajaraman, PhD, is…