Customer and business analytics: applied data mining for business decision making using R (Record no. 180704)

000 -LEADER
fixed length control field 02032cam a2200253 a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140323b2012 xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781466503960
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.40302855133
Item number P8C8
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Putler, Daniel S.
9 (RLIN) 265220
245 10 - TITLE STATEMENT
Title Customer and business analytics: applied data mining for business decision making using R
Statement of responsibility, etc. Putler, Daniel S.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Boca Raton
Name of publisher, distributor, etc. CRC Press
Date of publication, distribution, etc. 2012
300 ## - PHYSICAL DESCRIPTION
Extent xxvi, 289 p.
365 ## - TRADE PRICE
Price type code UKP
Price amount 44.99
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Chapman & Hall/CRC the R Series
9 (RLIN) 265221
520 ## - SUMMARY, ETC.
Summary, etc. Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the text is ideal for students in customer and business analytics or applied data mining as well as professionals in small- to medium-sized organizations.

The book offers an intuitive understanding of how different analytics algorithms work. Where necessary, the authors explain the underlying mathematics in an accessible manner. Each technique presented includes a detailed tutorial that enables hands-on experience with real data. The authors also discuss issues often encountered in applied data mining projects and present the CRISP-DM process model as a practical framework for organizing these projects.

Showing how data mining can improve the performance of organizations, this book and its R-based software provide the skills and tools needed to successfully develop advanced analytics capabilities.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Database marketing - Software
9 (RLIN) 265222
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining
9 (RLIN) 56428
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Decision making - Data processing
9 (RLIN) 118064
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R - Computer program language
9 (RLIN) 55638
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Database management
9 (RLIN) 30430
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Krider, Robert E.
9 (RLIN) 265223
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Chapman & Hall/CRC the R series.
9 (RLIN) 265224
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent Location Current Location Shelving location Date acquired Source of acquisition Cost, normal purchase price Item location Total Checkouts Total Renewals Full call number Barcode Date last seen Date checked out Cost, replacement price Price effective from Koha item type
          Non-fiction Vikram Sarabhai Library Vikram Sarabhai Library   2013-12-30 11 3836.75 Slot 2050 (2 Floor, East Wing) 6 7 658.40302855133 P8C8 180667 2018-11-26 2016-12-09 4795.93 2013-12-30 Books

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