Data Mining Concepts And Techniques

Data Mining Concepts and Techniques  eBooks & eLearning

Posted by hill0 at Sept. 10, 2020
Data Mining Concepts and Techniques

Data Mining Concepts and Techniques: Complete Guide to a Comprehensive Understanding of Data Mining Kindle Edition
by Cameron Zak

English | 2020 | ASIN: B08HRWDKVQ | 409 Pages | PDF, EPUB, AZW3 | 77 MB

Data Mining: Concepts and Techniques, 4th Edition  eBooks & eLearning

Posted by yoyoloit at March 22, 2023
Data Mining: Concepts and Techniques, 4th Edition

Data Mining
by Han, Jiawei

English | 2022 | ISBN: ‎ 0128117605 | 786 pages | True PDF | 19.4 MB

"Data Mining: Concepts and Applictions" ed. by Ciza Thomas, Andries Engelbrecht  eBooks & eLearning

Posted by exLib at July 12, 2022
"Data Mining: Concepts and Applictions" ed. by Ciza Thomas, Andries Engelbrecht

"Data Mining: Concepts and Applictions" ed. by Ciza Thomas, Andries Engelbrecht
ITexLi | 2022 | ISBN: 1839692677 9781839692673 1839692669 9781839692666 1839692685 9781839692680 | 194 pages | PDF | 8 MB

This book presents basic concepts, ideas, and research in data mining.

Data Science Concepts and Techniques with Applications  eBooks & eLearning

Posted by roxul at June 8, 2020
Data Science Concepts and Techniques with Applications

Usman Qamar, "Data Science Concepts and Techniques with Applications"
English | ISBN: 981156132X | 2020 | 211 pages | EPUB, PDF | 14 MB + 6 MB

The Handbook of Data Mining  eBooks & eLearning

Posted by step778 at Sept. 28, 2020
The Handbook of Data Mining

Nong Ye, "The Handbook of Data Mining"
English | 2003 | pages: 721 | ISBN: 0805840818 | PDF | 8,8 mb

Data Science Concepts and Techniques with Applications (2nd Edition)  eBooks & eLearning

Posted by hill0 at April 3, 2023
Data Science Concepts and Techniques with Applications (2nd Edition)

Data Science Concepts and Techniques with Applications (2nd Edition)
English | 2023 | ISBN: 3031174410 | 492 Pages | PDF | 13 MB

Data Mining - Unsupervised Learning  eBooks & eLearning

Posted by Sigha at June 30, 2023
Data Mining - Unsupervised Learning

Data Mining - Unsupervised Learning
Last updated 6/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 928.19 MB | Duration: 1h 57m

Data Mining - Unsupervised Learning

Data Mining - Unsupervised Learning  eBooks & eLearning

Posted by Sigha at Aug. 4, 2023
Data Mining - Unsupervised Learning

Data Mining - Unsupervised Learning
Last updated 7/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 3.51 GB | Duration: 10h 42m

Data Mining - Unsupervised Learning

Data Mining: Concepts, Models and Techniques (Repost)  eBooks & eLearning

Posted by AvaxGenius at Feb. 21, 2020
Data Mining: Concepts, Models and Techniques (Repost)

Data Mining: Concepts, Models and Techniques by Florin Gorunescu
English | PDF | 2011 | 364 Pages | ISBN : 3642197205 | 17.14 MB

The knowledge discovery process is as old as Homo sapiens. Until some time ago this process was solely based on the ‘natural personal' computer provided by Mother Nature. Fortunately, in recent decades the problem has begun to be solved based on the development of the Data mining technology, aided by the huge computational power of the 'artificial' computers.

Spatial Data Mining: Theory and Application (Repost)  eBooks & eLearning

Posted by AvaxGenius at Nov. 6, 2022
Spatial Data Mining: Theory and Application (Repost)

Spatial Data Mining: Theory and Application by Deren Li, Shuliang Wang, Deyi Li
English | PDF(True) | 2015 | 329 Pages | ISBN : 3662485362 | 10.82 MB

This book is an updated version of a well-received book previously published in Chinese by Science Press of China (the first edition in 2006 and the second in 2013). It offers a systematic and practical overview of spatial data mining, which combines computer science and geo-spatial information science, allowing each field to profit from the knowledge and techniques of the other. To address the spatiotemporal specialties of spatial data, the authors introduce the key concepts and algorithms of the data field, cloud model, mining view, and Deren Li methods.