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 (230 Downloads)

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

GET EBOOK

Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.
Data Mining and Machine Learning
Language: en
Pages: 779
Authors: Mohammed J. Zaki
Categories: Business & Economics
Type: BOOK - Published: 2020-01-30 - Publisher: Cambridge University Press

GET EBOOK

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
Language: en
Pages: 632
Authors: R.L. Grossman
Categories: Computers
Type: BOOK - Published: 2001-10-31 - Publisher: Springer Science & Business Media

GET EBOOK

Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial ch
Algorithms and Data Structures for Massive Datasets
Language: en
Pages: 302
Authors: Dzejla Medjedovic
Categories: Computers
Type: BOOK - Published: 2022-08-16 - Publisher: Simon and Schuster

GET EBOOK

Massive modern datasets make traditional data structures and algorithms grind to a halt. This fun and practical guide introduces cutting-edge techniques that ca
Data Mining and Analysis
Language: en
Pages: 607
Authors: Mohammed J. Zaki
Categories: Computers
Type: BOOK - Published: 2014-05-12 - Publisher: Cambridge University Press

GET EBOOK

A comprehensive overview of data mining from an algorithmic perspective, integrating related concepts from machine learning and statistics.