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Mining Of Massive Datasets

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Mining of Massive Datasets

Mining of Massive Datasets
Author :
Publisher : Cambridge University Press
Total Pages : 480
Release :
ISBN-10 : 9781107077232
ISBN-13 : 1107077230
Rating : 4/5 (32 Downloads)
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Book Synopsis Mining of Massive Datasets by : Jure Leskovec

Download or read book Mining of Massive Datasets written by Jure Leskovec and published by Cambridge University Press. This book was released on 2014-11-13 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.


Mining of Massive Datasets Related Books

Mining of Massive Datasets
Language: en
Pages: 480

Mining of Massive Datasets

Authors: Jure Leskovec
Categories: Computers
Type: BOOK - Published: 2014-11-13 - Publisher: Cambridge University Press

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Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.
Algorithms and Data Structures for Massive Datasets
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Algorithms and Data Structures for Massive Datasets

Authors: Dzejla Medjedovic
Categories: Computers
Type: BOOK - Published: 2022-08-16 - Publisher: Simon and Schuster

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Massive modern datasets make traditional data structures and algorithms grind to a halt. This fun and practical guide introduces cutting-edge techniques that ca
Mining Massive Data Sets for Security
Language: en
Pages: 388

Mining Massive Data Sets for Security

Authors: Françoise Fogelman-Soulié
Categories: Computers
Type: BOOK - Published: 2008 - Publisher: IOS Press

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The real power for security applications will come from the synergy of academic and commercial research focusing on the specific issue of security. This book is
Data Mining and Machine Learning
Language: en
Pages: 779

Data Mining and Machine Learning

Authors: Mohammed J. Zaki
Categories: Business & Economics
Type: BOOK - Published: 2020-01-30 - Publisher: Cambridge University Press

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New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning.
Data Mining for Scientific and Engineering Applications
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Data Mining for Scientific and Engineering Applications

Authors: R.L. Grossman
Categories: Computers
Type: BOOK - Published: 2013-12-01 - Publisher: Springer Science & Business Media

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Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial ch