Indian Institute of Management Udaipur Library

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Data Mining with R : learning with case studies (Record no. 11223)

000 -LEADER
fixed length control field 03453pam a2200193 a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140223b2011 xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781439810187
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Torgo, Luis
245 ## - TITLE STATEMENT
Title Data Mining with R : learning with case studies
Remainder of title
250 ## - EDITION STATEMENT
Edition statement 1st Ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. London
Date of publication, distribution, etc. 2011
Name of publisher, distributor, etc. CRC Press
300 ## - PHYSICAL DESCRIPTION
Extent xv,289p.
365 ## - TRADE PRICE
Price amount 52.99
Price type code GBP
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element R (programming language)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data Mining
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://www.crcpress.com/product/isbn/9781439810187
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 22.006.312
b
c


style="clear: both;line-height: 16.0px;padding: 0.0px 0.0px 12.0px;margin: 0.0px;color: rgb(0,0,0);font-family: Verdana , Arial , Helvetica , sans-serif;font-size: 11.0px;font-style: normal;font-variant: normal;font-weight: normal;letter-spacing: normal;text-indent: 0.0px;text-transform: none;white-space: normal;word-spacing: 0.0px;">The
versatile capabilities and large set of add-on packages make R an
excellent alternative to many existing and often expensive data mining
tools. Exploring this area from the perspective of a
practitioner, Data Mining with R: Learning with Case
Studies uses practical examples to illustrate the power
of R and data mining.


 


style="clear: both;line-height: 16.0px;padding: 0.0px 0.0px 12.0px;margin: 0.0px;color: rgb(0,0,0);font-family: Verdana , Arial , Helvetica , sans-serif;font-size: 11.0px;font-style: normal;font-variant: normal;font-weight: normal;letter-spacing: normal;text-indent: 0.0px;text-transform: none;white-space: normal;word-spacing: 0.0px;">Assuming
no prior knowledge of R or data mining/statistical techniques, the
book covers a diverse set of problems that pose different challenges
in terms of size, type of data, goals of analysis, and analytical
tools. To present the main data mining processes and techniques, the
author takes a hands-on approach that utilizes a series of detailed,
real-world case studies:



  1. Predicting algae blooms

  2. Predicting stock market returns

  3. Detecting fraudulent transactions

  4. Classifying microarray samples

style="clear: both;line-height: 16.0px;padding: 0.0px 0.0px 12.0px;margin: 0.0px;color: rgb(0,0,0);font-family: Verdana , Arial , Helvetica , sans-serif;font-size: 11.0px;font-style: normal;font-variant: normal;font-weight: normal;letter-spacing: normal;text-indent: 0.0px;text-transform: none;white-space: normal;word-spacing: 0.0px;">With
these case studies, the author supplies all necessary st
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Materials specified (bound volume or other part) Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Source of acquisition Cost, normal purchase price Inventory number Total Checkouts Full call number Barcode Date last seen Date last checked out Copy number Cost, replacement price Price effective from Koha item type
      hbk.     Indian Institute of Management Udaipur Indian Institute of Management Udaipur A2/3 2013-06-14 Niranjan Associates 4706.00 5547 - 14/06/2013 2 006.312 002596 2023-11-20 2023-11-02 1 0.00 2016-03-07 Monograph

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