Data Mining Pytho

Data Mining for Business Analytics : Concepts, Techniques, and Applications in R  eBooks & eLearning

Posted by readerXXI at March 6, 2018
Data Mining for Business Analytics : Concepts, Techniques, and Applications in R

Data Mining for Business Analytics :
Concepts, Techniques, and Applications in R

by Galit Shmueli and Peter C. Bruce
English | 2018 | ISBN: 1118879368 | 576 Pages | ePUB | 7.17 MB

Advances in Knowledge Discovery and Data Mining  eBooks & eLearning

Posted by AvaxGenius at June 20, 2018
Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part II by Dinh Phung
English | PDF | 2018 | 622 Pages | ISBN : 3319930362 | 35.46 MB

This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018.

Encyclopedia of Machine Learning and Data Mining, Second Edition (repost)  eBooks & eLearning

Posted by hill0 at June 18, 2018
Encyclopedia of Machine Learning and Data Mining, Second Edition (repost)

Encyclopedia of Machine Learning and Data Mining, Second Edition By Claude Sammut, Geoffrey I. Webb
English | PDF | 2017 | 1341 Pages | ISBN : 148997685X | 30.82 MB
Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence

Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence
IGI Global | English | 2017 | ISBN-10: 1522520317 | 438 pages | PDF, EPUB | 19.02 + 25.29 MB

by Shrawan Kumar Trivedi (Author, Editor), Shubhamoy Dey (Editor), Anil Kumar (Editor)

Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Repost)  eBooks & eLearning

Posted by AvaxGenius at June 12, 2018
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Repost)

Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data by Bing Liu
English | PDF | 2007 | 544 Pages | ISBN : 3540378812 | 9.01 MB

The rapid growth of the Web in the last decade makes it the largest p- licly accessible data source in the world. Web mining aims to discover u- ful information or knowledge from Web hyperlinks, page contents, and - age logs. Based on the primary kinds of data used in the mining process, Web mining tasks can be categorized into three main types: Web structure mining, Web content mining and Web usage mining. Web structure m- ing discovers knowledge from hyperlinks, which represent the structure of the Web. Web content mining extracts useful information/knowledge from Web page contents. Web usage mining mines user access patterns from usage logs, which record clicks made by every user. The goal of this book is to present these tasks, and their core mining - gorithms.

Data Mining the Deceased (2016)  Video

Posted by rwdfox at June 6, 2018
Data Mining the Deceased (2016)

Data Mining the Deceased (2016)
WEBRip | 56mn | 720x404 | MKV AVC@2000Kbps 29.97fps | AAC@125Kbps 2CH 48KHz | 846.61 MB
WEBRip 1080p | 56mn | 1920x1080 | MKV AVC@10.0 Mbps 29.97fps | AAC@125Kbps 2CH 48KHz | 3.89 GiB
Language: English | Genre: Documentary | Subtitles: English

The fascination with genealogy is rising and the family history business is booming. Data Mining the Deceased explores what may be the largest historical enterprise in the world and one of the largest data-mining operations.

Data Mining the Deceased (2016)  Video

Posted by notbanned at June 6, 2018
Data Mining the Deceased (2016)

Data Mining the Deceased (2016)
WEB-DL | 1280x720 | .MKV/AVC @ 6000 Kbps | 56 min 56 s | 2.35 GiB
Audio: English AAC 125 kbps, 2 channels | Subs: English
Genre: Documentary

More than half of North Americans are fascinated by genealogy. Some gain a sense of identity by uncovering their ancestors, their culture, and their country of origin. Others find it disorienting when they discover that their history differs from what they have always believed. But there is another side to the rise in genealogy that goes beyond human interest. It is arguably the largest historical enterprise in the world, and one of the largest data mining operations, driven by big religion, big business and big technology.

Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining  eBooks & eLearning

Posted by AvaxGenius at May 28, 2018
Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining

Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining by Hassan AbouEisha
English | PDF,EPUB | 2018 (2019 Edition) | 277 Pages | ISBN : 3319918389 | 10.78 MB

Dynamic programming is an efficient technique for solving optimization problems. It is based on breaking the initial problem down into simpler ones and solving these sub-problems, beginning with the simplest ones. A conventional dynamic programming algorithm returns an optimal object from a given set of objects.

Randomized Algorithms in Automatic Control and Data Mining (Repost)  eBooks & eLearning

Posted by AvaxGenius at May 27, 2018
Randomized Algorithms in Automatic Control and Data Mining (Repost)

Randomized Algorithms in Automatic Control and Data Mining By Oleg Granichin
English | PDF | 2015 | 268 Pages | ISBN : 3642547850 | 5.07 MB

In the fields of data mining and control, the huge amount of unstructured data and the presence of uncertainty in system descriptions have always been critical issues. The book Randomized Algorithms in Automatic Control and Data Mining introduces the readers to the fundamentals of randomized algorithm applications in data mining (especially clustering) and in automatic control synthesis. The methods proposed in this book guarantee that the computational complexity of classical algorithms and the conservativeness of standard robust control techniques will be reduced. It is shown that when a problem requires "brute force" in selecting among options, algorithms based on random selection of alternatives offer good results with certain probability for a restricted time and significantly reduce the volume of operations.

Data Mining in Time Series and Streaming Databases  eBooks & eLearning

Posted by Underaglassmoon at May 20, 2018
Data Mining in Time Series and Streaming Databases

Data Mining in Time Series and Streaming Databases
World Scientific | English | 2018 | ISBN-10: 9813228032 | 196 pages | PDF | 5.96 MB

by Mark Last (Author, Editor), Horst Bunke (Editor), Abraham Kandel (Editor)