Data mining and business analytics with R / (Record no. 20037)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field ocn824686642
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230823095216.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130118s2013 nju ob 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2013002488
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
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Transcribing agency DLC
Modifying agency DG1
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-- YDXCP
-- CUS
-- E7B
-- NOC
-- OCLCF
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-- RRP
-- TEFOD
019 ## -
-- 847348402
-- 849724445
-- 855115737
-- 864915196
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781118596289
Qualifying information electronic bk.
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1118596285
Qualifying information electronic bk.
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781118593745
Qualifying information electronic bk.
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 111859374X
Qualifying information electronic bk.
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781118572153
Qualifying information electronic bk.
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1118572157
Qualifying information electronic bk.
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781118572221
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 111857222X
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781118447147
Qualifying information (cloth)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 111844714X
Qualifying information (cloth)
028 01 - PUBLISHER NUMBER
Publisher number EB00063900
Source Recorded Books
029 1# - (OCLC)
OCLC library identifier AU@
System control number 000053295486
029 1# - (OCLC)
OCLC library identifier AU@
System control number 000053297900
029 1# - (OCLC)
OCLC library identifier CHNEW
System control number 000720270
029 1# - (OCLC)
OCLC library identifier DEBBG
System control number BV041637074
029 1# - (OCLC)
OCLC library identifier DEBSZ
System control number 431428743
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OCLC library identifier DKDLA
System control number 820120-katalog:000652797
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OCLC library identifier NLGGC
System control number 358120942
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OCLC library identifier NZ1
System control number 15142930
029 1# - (OCLC)
OCLC library identifier NZ1
System control number 15340518
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)824686642
Canceled/invalid control number (OCoLC)847348402
-- (OCoLC)849724445
-- (OCoLC)855115737
-- (OCoLC)864915196
037 ## - SOURCE OF ACQUISITION
Stock number 0B305E2E-E901-4EAB-9139-89A2D33817FF
Source of stock number/acquisition OverDrive, Inc.
Note http://www.overdrive.com
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.D343
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 021030
Source bisacsh
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/12
Edition number 23
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Ledolter, Johannes.
245 10 - TITLE STATEMENT
Title Data mining and business analytics with R /
Statement of responsibility, etc Johannes Ledolter, University of Iowa.
264 #1 -
-- Hoboken, New Jersey :
-- John Wiley & Sons, Inc.,
-- [2013]
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
588 0# -
-- Print version record and CIP data provided by publisher.
520 ## - SUMMARY, ETC.
Summary, etc Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification. Highlighting both underlying concepts and practical computational skills, Data Mining and Business Analytics with R begins with coverage of standard linear regression and the importance of parsimony in statistical modeling. The book includes important topics such as penalty-based variable selection (LASSO); logistic regression; regression and classification trees; clustering; principal components and partial least squares; and the analysis of text and network data. In addition, the book presents: * A thorough discussion and extensive demonstration of the theory behind the most useful data mining tools * Illustrations of how to use the outlined concepts in real-world situations * Readily available additional data sets and related R code allowing readers to apply their own analyses to the discussed materials * Numerous exercises to help readers with computing skills and deepen their understanding of the material. Data Mining and Business Analytics with R is an excellent graduate-level textbook for courses on data mining and business analytics. The book is also a valuable reference for practitioners who collect and analyze data in the fields of finance, operations management, marketing, and the information sciences.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Processing the information and getting to know your data -- Standard linear regression -- Local polynomial regression: a nonparametric regression approach -- Importance of parsimony in statistical modeling -- Penalty-based variable selection in regression models with many parameters (LASSO) -- Logistic regression -- Binary classification, probabilities, and evaluating classification performance -- Classification using a nearest neighbor analysis -- The Naïve Bayesian analysis: a model predicting a categorical response from mostly categorical predictor variables -- Multinomial logistic regression -- More on classification and a discussion on discriminant analysis -- Decision trees -- Further discussion on regression and classification trees, computer software, and other useful classification methods -- Clustering -- Market basket analysis: association rules and lift -- Dimension reduction: factor models and principal components -- Reducing the dimension in regressions with multicollinear inputs: principal components regression and partial least squares -- Text as data: text mining and sentiment analysis -- Network data -- Appendices: A. Exercises -- B. References.
526 ## - STUDY PROGRAM INFORMATION NOTE
Department Finance
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Commercial statistics.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COMPUTERS
General subdivision Database Management
-- Data Mining.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Commercial statistics.
Source of heading or term fast
-- (OCoLC)fst00869640
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
Source of heading or term fast
-- (OCoLC)fst00887946
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
Source of heading or term fast
-- (OCoLC)fst01086207
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
Main entry heading Ledolter, Johannes.
Title Business analytics and data mining with R.
Place, publisher, and date of publication Hoboken, New Jersey : John Wiley & Sons, Inc., [2013]
International Standard Book Number 9781118447147
Record control number (DLC) 2013000330
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1002/9781118596289">http://dx.doi.org/10.1002/9781118596289</a>
Public note Wiley Online Library
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-- 92
-- DG1

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