More Data Mining

More Data Mining with R  eBooks & eLearning

Posted by naag at Aug. 26, 2016
More Data Mining with R

More Data Mining with R
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 10.5 Hours | Lec: 67 | 3.06 GB
Genre: eLearning | Language: English

How to perform market basket analysis, analyze social networks, mine Twitter data, text, and time series data.

More Data Mining with R  

Posted by C2U at Sept. 5, 2015
More Data Mining with R

Udemy - More Data Mining with R
11 Hours | Video: AVC (.mp4) 1280x720 30fps | Audio: AAC 48KHz 2ch | 2.58 GB
Genre: eLearning | Language: English

How to perform market basket analysis, analyze social networks, mine Twitter data, text, and time series data.

Data Mining and Learning Analytics: Applications in Educational Research  eBooks & eLearning

Posted by arundhati at Dec. 7, 2016
Data Mining and Learning Analytics: Applications in Educational Research

Samira ElAtia, Donald Ipperciel, "Data Mining and Learning Analytics: Applications in Educational Research"
2016 | ISBN-10: 1118998235 | 320 pages | PDF | 6 MB

Data Mining Mobile Devices (Repost)  eBooks & eLearning

Posted by roxul at Dec. 6, 2016
Data Mining Mobile Devices (Repost)

Jesus Mena, "Data Mining Mobile Devices"
English | 2013 | ISBN: 1466555955 | 328 pages | PDF | 19,6 MB
Visual and Spatial Analysis: Advances in Data Mining, Reasoning, and Problem Solving (Repost)

Visual and Spatial Analysis: Advances in Data Mining, Reasoning, and Problem Solving
Publisher: Springer | 2004 | ISBN: 140202939X | 576 pages | PDF | 64,6 MB

Advanced visual analysis and problem solving has been conducted successfully for millennia. The Pythagorean Theorem was proven using visual means more than 2000 years ago. In the 19th century, John Snow stopped a cholera epidemic in London by proposing that a specific water pump be shut down. He discovered that pump by visually correlating data on a city map. The goal of this book is to present the current trends in visual and spatial analysis for data mining, reasoning, problem solving and decision-making.

Clustering for Data Mining: A Data Recovery Approach  eBooks & eLearning

Posted by Underaglassmoon at Jan. 2, 2015
Clustering for Data Mining: A Data Recovery Approach

Clustering for Data Mining: A Data Recovery Approach
English | Databases | 25. April 2005 | ISBN-10: 1584885343 | 266 pages | pdf | 4 mb

Often considered more as an art than a science, the field of clustering has been dominated by learning through examples and by techniques chosen almost through trial-and-error.

Agent Intelligence Through Data Mining by Pericles A. Mitkas  

Posted by tanas.olesya at Nov. 7, 2014
Agent Intelligence Through Data Mining by Pericles A. Mitkas

Agent Intelligence Through Data Mining (Multiagent Systems, Artificial Societies, and Simulated Organizations) by Pericles A. Mitkas
Springer; 1st ed. 2005. Corr. 2nd printing 2006 edition | April 19, 2006 | English | ISBN: 0387243526 | 215 pages | PDF | 17 MB

This book addresses the use of data mining for smarter, more efficient agents, as well as the challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity.

Data Mining for the Masses  eBooks & eLearning

Posted by andr1078 at Sept. 24, 2014
Data Mining for the Masses

Matthew North "Data Mining for the Masses"
Publisher: Global Text Project | English | 2012 | ISBN:0615684378 | 256 pages | PDF | 16.7 MB

Have you ever found yourself working with a spreadsheet full of data and wishing you could make more sense of the numbers? Have you reviewed sales or operations reports, wondering if there’s a better way to anticipate your customers’ needs? Perhaps you’ve even thought to yourself: There’s got to be more to these figures than what I’m seeing!
Data Mining: Concepts, Models, Methods, and Algorithms [Repost]

Data Mining: Concepts, Models, Methods, and Algorithms by Mehmed Kantardzic
Wiley-IEEE Press | October 25 2002 | ISBN: 0471228524 | Pages: 360 | CHM | 8.44 MB

A comprehensive introduction to the exploding field of data mining. We are surrounded by data, numerical and otherwise, which must be analyzed and processed to convert it into information that informs, instructs, answers, or otherwise aids understanding and decision-making. Due to the ever-increasing complexity and size of today's data sets, a new term, data mining, was created to describe the indirect, automatic data analysis techniques that utilize more complex and sophisticated tools than those which analysts used in the past to do mere data analysis.
Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More (2nd edition) (repost)

Matthew A. Russell, "Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More (2nd edition)"
2013 | ISBN: 1449367615 | 448 pages | PDF, EPUB | 28 MB