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Data Mining with R: Learning with Case Studies (Chapman & Hall CRC Data Mining and Knowledge Discovery Series) by Luis Torgo

Data Mining with R: Learning with Case Studies (Chapman & Hall CRC Data Mining and Knowledge Discovery Series) Luis Torgo ebook
Format: pdf
Publisher: Chapman and Hall/CRC
Page: 289
ISBN: 1439810184, 9781439810187

In a variety of application domains, machine learning and data mining algorithms proved to be of great value [1–3]. Data Mining with R: Learning with Case Studies (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series by Luis Torgo (Author). In this work, viral DNA sequences belonging to the human polyomaviruses BKPyV, JCPyV, KIPyV, WUPyV, and MCPyV are analyzed using a logic data mining method in order to identify the nucleotides which are able to distinguish the five different human The data mining analysis is performed by considering the complete sequences of the viruses and the sequences of the different gene regions separately, obtaining in both cases extremely high correct recognition rates. Announcing new titles in the Chapman & Hall/CRC Data Mining and Knowledge Discovery Book Series. Buy the book: knowledge books software — Data Mining with R: Learning with Case Studies (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). Data Mining with R: Learning with Case Studies (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). Data Mining with R: Learning with Case Studies (Chapman & Hall CRC Data Mining and Knowledge Discovery Series) Luis Torgo 2010 1 Chapman and Hall/CRC Stem Cells: From Hydra to Man Thomas C.G. Get 20% off on Data Mining with R: Learning with Case Studies, Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques, Handbook of Educational Data Mining, or other Chapman/CRC Books purchased on website. #9: Data Mining with R: Learning with Case Studies (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). Go to www.crcpress.com and use Promotion Code 075AM to apply 20% off Discount! David Snowden's Cynefin framework, introduced to articulate discussions of sense-making, knowledge management and organisational learning, has much to offer discussion of statistical inference and decision analysis. Illustration of the difference between classic enrichment–based approach and the KDVS framework approach.