Mining

How Mining Works  eBooks & eLearning

Posted by readerXXI at Nov. 8, 2016
How Mining Works

How Mining Works
by W. Scott Dunbar
English | 2016 | ISBN: 0873353994 | 223 Pages | True PDF | 43 MB

How Mining Works explains complex mining concepts in a way simple enough for those who are not familiar with the industry, yet thorough enough to be useful to long-time professionals.
Visual Data Mining w/WS: Techniques and Tools for Data Visualization and Mining (repost)

Visual Data Mining w/WS: Techniques and Tools for Data Visualization and Mining by Tom Soukup
English | 16 May 2002 | ISBN: 0471149993 | 424 Pages | PDF | 20 MB

Marketing analysts use data mining techniques to gain a reliable understanding of customer buying habits and then use that information to develop new marketing campaigns and products. Visual mining tools introduce a world of possibilities to a much broader and non–technical audience to help them solve common business problems.

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications  eBooks & eLearning

Posted by tanas.olesya at Sept. 27, 2016
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications by John Elder IV
English | 18 Feb. 2012 | ISBN: 012386979X | 1055 Pages | PDF | 203 MB

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis.

Fundamentals of Predictive Text Mining (Repost)  eBooks & eLearning

Posted by leonardo78 at Sept. 15, 2016
Fundamentals of Predictive Text Mining (Repost)

Fundamentals of Predictive Text Mining by Sholom M. Weiss, Nitin Indurkhya, Tong Zhang
Publisher: Springer | 2010 | ISBN: 1849962251 | 226 pages | PDF | 2,9 MB

One consequence of the pervasive use of computers is that most documents originate in digital form. Widespread use of the Internet makes them readily available. Text mining – the process of analyzing unstructured natural-language text – is concerned with how to extract information from these documents.

Process Mining: Data Science in Action, Second Edition  eBooks & eLearning

Posted by Underaglassmoon at June 15, 2016
Process Mining: Data Science in Action, Second Edition

Process Mining: Data Science in Action, Second Edition
Springer | Computer Science | April 16 2016 | ISBN-10: 3662498502 | 467 pages | pdf | 21.4 mb

Authors: van der Aalst, Wil
First book on process mining, bridging the gap between business process modeling and business intelligence and positioning process mining within the rapidly growing data science discipline
This second edition includes over 150 pages of new material, e.g. on data quality, the relation to data science, inductive mining techniques and the notion of alignments
Written by one of the most influential and most-cited computer scientists and the best-known BPM researcher
Self-contained and comprehensive overview for a broad audience in academia and industry, including up-to-date information on tools and the exploitation of modern IT infrastructures

Spatial Data Mining  eBooks & eLearning

Posted by Underaglassmoon at March 31, 2016
Spatial Data Mining

Spatial Data Mining: Theory and Application
Springer | Computer Science, Textbook | April 24, 2016 | ISBN-10: 3662485362 | 308 pages | pdf | 10.82 mb

Authors: Li, Deren, Wang, Shuliang, Li, Deyi
Presents up-to-date work on core theories and applications of spatial data mining, combining the principles of data mining and geospatial information science
Proposes data fields, cloud model, and mining views methods, and presents empirical applications in the context of GIS and remote sensing

Coursera - Process Mining: Data Science in Action [repost]  eBooks & eLearning

Posted by ParRus at Feb. 18, 2016
Coursera - Process Mining: Data Science in Action [repost]

Coursera - Process Mining: Data Science in Action
WEBRip | English | MP4 | 960 x 540 | AVC ~151 kbps | 29.970 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | 13:23:25 | 1.68 GB
Genre: eLearning Video / Computer Science, Engineering and Technology

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis. Process mining bridges the gap between traditional model-based process analysis (e.g., simulation and other business process management techniques) and data-centric analysis techniques such as machine learning and data mining.

Active Mining - New Directions of Data Mining (repost)  

Posted by MoneyRich at Oct. 11, 2015
Active Mining - New Directions of Data Mining (repost)

Active Mining - New Directions of Data Mining by Hiroshi Motoda
English | 29 July 2002 | ISBN: 158603264X | 304 Pages | PDF | 8 MB

The need for collecting relevant data sources, mining useful knowledge from different forms of data sources and promptly reacting to situation change is ever increasing. Active mining is a collection of activities each solving a part of this need, but collectively achieving the mining objective through the spiral effect of these interleaving three steps.
Pluralsight - Data Mining Algorithms in SSAS, Excel, and R

Pluralsight - Data Mining Algorithms in SSAS, Excel, and R
Size: 651MB | Duration: 2h 59m | Video: AVC (.mp4) 1024x768 15fps | Audio: AAC 44.1KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English

Don't use data mining as a black box. Get a deep understanding of how the data mining algorithms work. This knowledge is not only theoretical; it helps you developing better models in production.

Canadian Mining Journal - April 2015  Magazines

Posted by AvaxGenius at April 4, 2015
Canadian Mining Journal - April 2015

Canadian Mining Journal - April 2015
English | True PDF | 40 Pages | 15.05 MB