Mining of Massive Datasets
This book focuses on practical algorithms that have been used to solve key problems in data mining and which can be used on even the largest datasets.
Tag(s): Data Mining
Publication date: 31 Dec 2014
ISBN-10: n/a
ISBN-13: 9781107015357
Paperback: 326 pages
Views: 25,464
Mining of Massive Datasets
About The Author(s)
Jure Leskovec is an Assistant Professor of Computer Science at Stanford University. His research focuses on mining and modeling large social and information networks, their evolution, and diffusion of information and influence over them. He is also Chief Scientists at Pinterest, where he is focusing on machine learning problems.
Jure Leskovec is an Assistant Professor of Computer Science at Stanford University. His research focuses on mining and modeling large social and information networks, their evolution, and diffusion of information and influence over them. He is also Chief Scientists at Pinterest, where he is focusing on machine learning problems.
No information is available for this author.
Jeff Ullman is the Stanford W. Ascherman Professor of Computer Science (Emeritus). His interests include database theory, database integration, data mining, and education using the information infrastructure.
Jeff Ullman is the Stanford W. Ascherman Professor of Computer Science (Emeritus). His interests include database theory, database integration, data mining, and education using the information infrastructure.