Aggarwal Data Mining

Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing? (repost)

Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing? (Studies in Computational Intelligence) by Piotr Hońko
English | 27 Feb. 2017 | ISBN: 3319527509 | 123 Pages | PDF | 1.48 MB

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)

Data Mining and Market Intelligence  eBooks & eLearning

Posted by Underaglassmoon at May 20, 2018
Data Mining and Market Intelligence

Data Mining and Market Intelligence: Implications for Decision Making
Morgan & Claypool | English | 2018 | ISBN-10: 1681733226 | 181 pages | PDF | 3.66 MB

by Mustapha Akinkunmi (Author)
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data, Second Edition (Repost)

Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data, Second Edition by Bing Liu
English | PDF | 2011 | 637 Pages | ISBN : 3642194591 | 10.93 MB

Web mining aims to discover useful information and knowledge from Web hyperlinks, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining due to the semi-structured and unstructured nature of the Web data. The field has also developed many of its own algorithms and techniques.

Data Mining and Applications in Genomics  eBooks & eLearning

Posted by AvaxGenius at May 19, 2018
Data Mining and Applications in Genomics

Data Mining and Applications in Genomics By Sio-Iong Ao
English | PDF | 2008 | 159 Pages | ISBN : 1402089740 | 4.63 MB

Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford. It provides a systematic introduction to the use of data mining algorithms as an investigative tool for applications in genomics. Topics covered include Genomic Techniques, Single Nucleotide Polymorphisms, Disease Studies, HapMap Project, Haplotypes, Tag-SNP Selection, Linkage Disequilibrium Map, Gene Regulatory Networks, Dimension Reduction, Feature Selection, Feature Extraction, Principal Component Analysis, Independent Component Analysis, Machine Learning Algorithms, Hybrid Intelligent Techniques, Clustering Algorithms, Graph Algorithms, Numerical Optimization Algorithms, Data Mining Software Comparison, Medical Case Studies, Bioinformatics Projects, and Medical Applications.

Data Mining Through Cluster Analysis Using Python  eBooks & eLearning

Posted by naag at May 19, 2018
Data Mining Through Cluster Analysis Using Python

Data Mining Through Cluster Analysis Using Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | Lec: 16 | 122 MB
Genre: eLearning | Language: English

Discover two non-hierarchical clustering algorithms, k-means and DBSCAN.

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

Posted by AvaxGenius at May 13, 2018
Encyclopedia of Machine Learning and Data Mining, Second Edition

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

This authoritative, expanded and updated second edition of Encyclopedia of Machine Learning and Data Mining provides easy access to core information for those seeking entry into any aspect within the broad field of Machine Learning and Data Mining.

Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data, Second Edition  eBooks & eLearning

Posted by AvaxGenius at May 10, 2018
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data, Second Edition

Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data, Second Edition by Bing Liu
English | PDF | 2011 | 637 Pages | ISBN : 3642194591 | 10.93 MB

Web mining aims to discover useful information and knowledge from Web hyperlinks, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining due to the semi-structured and unstructured nature of the Web data. The field has also developed many of its own algorithms and techniques.

Proceedings of the 6th SIAM International Conference on Data Mining  eBooks & eLearning

Posted by step778 at May 4, 2018
Proceedings of the 6th SIAM International Conference on Data Mining

Joydeep Ghosh, Diane Lambert, David Skillicorn, "Proceedings of the 6th SIAM International Conference on Data Mining"
2006 | pages: 659 | ISBN: 089871611X | DJVU | 12,2 mb
Mathematical Methods for Knowledge Discovery and Data Mining (Premier Reference Source) [Repost]

Mathematical Methods for Knowledge Discovery and Data Mining (Premier Reference Source) by Giovanni Felici
English | 30 Dec. 2007 | ISBN: 1599045281 | 311 Pages | PDF | 5.75 MB