mining of massive datasets

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.

mining of massive datasets

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 Co-Founder and Founding Partner of Milliways Ventures. Dr. Rajaraman is Partner of Rocketship.vc. Dr. Rajaraman is a Founding Partner at Cambrian Ventures, Inc., which he established in 2000. He fills in as an Advisor to a few Silicon Valley new businesses. Dr. Rajaraman established Kosmix (now @WalmartLabs) in 2004 and fills in as its Senior Vice-President of Global eCommerce business. He has broad innovative work involvement with Stanford University, AT&T Bell Labs and Xerox PARC. He filled in as Scientific Advisor of TheFind, Inc. As the Chief Technology Officer of Junglee, Dr. Rajaraman assumed a key part in building up its honor winning Virtual Database innovation. He filled in as Technical Advisor of TheFind, Inc. Dr. Rajaraman filled in as the Director of Technology at Amazon.com Inc. also, was in charge of innovation methodology and propelled innovation activities. He helped dispatch the change of Amazon.com from a retailer into a retail stage, empowering outsider retailers to offer on its site. Dr. Rajaraman joined Amazon.com in 1998. He was Co-Founder of Junglee Corp. He filled in as a Director of Coruscant Tec Ltd., and @WalmartLabs. He fills in as a Board Member to a few Silicon Valley new companies. He filled in as Director of Aster Data Systems, Inc. Dr. Rajaraman is a Consulting Assistant Professor at Stanford University’s Computer Science Department. He has various productions, licenses and honors at driving scholastic and industry gatherings. Dr. Rajaraman is highlighted in articles in Business Week, the San Francisco Chronicle and other driving national distributions. Dr. Rajaraman is an early speculator in Facebook, a serial business visionary and Technologist. He won the President of India Gold Medal for graduating at the highest point of his class at the Indian Institute of Technology. He got M.S. what’s more, Ph.D. in Computer Science from Stanford University; and a Bachelor’s degree in Computer Science and Engineering from the Indian Institute of Technology, Madras.

Jeffrey David “Jeff” Ullman (conceived November 22, 1942) is a PC researcher and teacher at Stanford University. His course readings on compilers (different releases are prominently known as the Dragon Book), hypothesis of calculation (otherwise called the Cinderella book), information structures, and databases are viewed as models in their fields. Ullman got a Bachelor of Science degree in Engineering Mathematics from Columbia University in 1963 and his Ph.D. in Electrical Engineering from Princeton University in 1966. He at that point labored for quite a while at Bell Labs. From 1969 to 1979 he was a teacher at Princeton. Since 1979 he has been a teacher at Stanford University, where he is presently the Stanford W. Ascherman Professor of Computer Science (Emeritus). In 1995 he was accepted as a Fellow of the Association for Computing Machinery and in 2000 he was granted the Knuth Prize. Ullman is likewise the co-beneficiary (with John Hopcroft) of the 2010 IEEE John von Neumann Medal, “For establishing the frameworks for the fields of automata and dialect hypothesis and numerous original commitments to hypothetical software engineering.

Conclusion of mining of massive datasets:

The mining of massive datasets depends on Stanford Computer Science course CS246: Mining Massive Datasets (and CS345A: Data Mining).

The book, similar to the course, is planned at the undergrad software engineering level with no formal requirements. To help further investigations, the vast majority of the sections are supplemented with additionally perusing references.

Cambridge University Press does, in any case, hold copyright on the work, and we expect that you will acquire their authorization and recognize our initiation in the event that you republish parts or every last bit of it.

 

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