Handbook of statistical analysis and data mining applications
Handbook of statistical analysis & data mining applications
Nisbet, Robert.
creator
Elder, John F.
Miner, Gary.
text
bibliography
ne
Amsterdam
Boston
Academic Press/Elsevier
c2009
2009
monographic
eng
xxxiv, 824 p. : ill. (chiefly col.) ; 25 cm. +
Guides business analysts, scientists, engineers and researchers through all stages of data analysis, model building and implementation. This book helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application.
TOC History of phases of data analysis, basic theory, and the data mining process -- The algorithms in data mining and text mining, the organization of the three most common data mining tools, and selected specialized areas using data mining -- Tutorials--step-by-step case studies as a starting point to learn how to do data mining analyses -- Measuring true complexity, the "right model for the right use," top mistakes, and the future of analytics.
general
Robert Nisbet, John Elder, Gary Miner.
Includes bibliographical references and index.
AS
Data mining
Statistical methods
QA76.9.D343 N57 2009
006.312 NIH 2009
9780123747655 (hbk. : alk. paper)
0123747651 (hbk. : alk. paper)
9780123750860 (DVDROM)
0123750865 (DVDROM)
2009008997
http://www.worldcat.org/title/handbook-of-statistical-analysis-and-data-mining-applications/oclc/316327105&referer=brief_results
http://lib.ewubd.edu/ebook/4965
http://www.worldcat.org/title/handbook-of-statistical-analysis-and-data-mining-applications/oclc/316327105&referer=brief_results
http://lib.ewubd.edu/ebook/4965
DLC
16
20181205103303.0
4965
eng