A practical guide to data mining for business and industry / (Record no. 21010)

MARC details
000 -LEADER
fixed length control field 06652cam a2200841 i 4500
001 - CONTROL NUMBER
control field ocn865297935
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230823095442.0
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 131212s2014 enk ob 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2013049413
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency DLC
Modifying agency YDX
-- N$T
-- IDEBK
-- E7B
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-- DG1
-- YDXCP
-- CDX
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019 ## -
-- 905245061
-- 929527020
-- 959867764
-- 961583802
-- 962668632
-- 966372719
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781118763377
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1118763378
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781118763728
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1118763726
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781118763704
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 111876370X
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 1306550696
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781306550697
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 1119977134
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781119977131
029 1# - (OCLC)
OCLC library identifier CHBIS
System control number 010259582
029 1# - (OCLC)
OCLC library identifier CHNEW
System control number 000720389
029 1# - (OCLC)
OCLC library identifier CHVBK
System control number 325944199
029 1# - (OCLC)
OCLC library identifier DEBBG
System control number BV042682891
029 1# - (OCLC)
OCLC library identifier DEBSZ
System control number 423170929
029 1# - (OCLC)
OCLC library identifier DEBSZ
System control number 446580929
029 1# - (OCLC)
OCLC library identifier NZ1
System control number 15548672
029 1# - (OCLC)
OCLC library identifier NZ1
System control number 15626494
029 1# - (OCLC)
OCLC library identifier NZ1
System control number 15920455
029 1# - (OCLC)
OCLC library identifier DEBBG
System control number BV043625852
029 1# - (OCLC)
OCLC library identifier AU@
System control number 000052331730
029 1# - (OCLC)
OCLC library identifier DEBBG
System control number BV043396403
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)865297935
Canceled/invalid control number (OCoLC)905245061
-- (OCoLC)929527020
-- (OCoLC)959867764
-- (OCoLC)961583802
-- (OCoLC)962668632
-- (OCoLC)966372719
037 ## - SOURCE OF ACQUISITION
Stock number CL0500000570
Source of stock number/acquisition Safari Books Online
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HF5415.125
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 000000
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 Ahlemeyer-Stubbe, Andrea.
245 12 - TITLE STATEMENT
Title A practical guide to data mining for business and industry /
Statement of responsibility, etc Andrea Ahlemeyer-Stubbe, Shirley Coleman.
264 #1 -
-- Chichester, West Sussex, United Kingdom :
-- John Wiley & Sons Inc.,
-- 2014.
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 "Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest."--
-- Unedited summary from book.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Title page; Copyright page; Glossary of terms; Part I: Data mining concept; 1 Introduction; 1.1 Aims of the Book; 1.2 Data Mining Context; 1.3 Global Appeal; 1.4 Example Datasets Used in This Book; 1.5 Recipe Structure; 1.6 Further Reading and Resources; 2 Data mining definition; 2.1 Types of Data Mining Questions; 2.2 Data Mining Process; 2.3 Business Task: Clarification of the Business Question behind the Problem; 2.4 Data: Provision and Processing of the Required Data; 2.5 Modelling: Analysis of the Data; 2.6 Evaluation and Validation during the Analysis Stage
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2.7 Application of Data Mining Results and Learning from the ExperiencePart II: Data mining Practicalities; 3 All about data; 3.1 Some Basics; 3.2 Data Partition: Random Samples for Training, Testing and Validation; 3.3 Types of Business Information Systems; 3.4 Data Warehouses; 3.5 Three Components of a Data Warehouse: DBMS, DB and DBCS; 3.6 Data Marts; 3.7 A Typical Example from the Online Marketing Area; 3.8 Unique Data Marts; 3.9 Data Mart: Do's and Don'ts; 4 Data Preparation; 4.1 Necessity of Data Preparation; 4.2 From Small and Long to Short and Wide; 4.3 Transformation of Variables
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4.4 Missing Data and Imputation Strategies4.5 Outliers; 4.6 Dealing with the Vagaries of Data; 4.7 Adjusting the Data Distributions; 4.8 Binning; 4.9 Timing Considerations; 4.10 Operational Issues; 5 Analytics; 5.1 Introduction; 5.2 Basis of Statistical Tests; 5.3 Sampling; 5.4 Basic Statistics for Pre-analytics; 5.5 Feature Selection/Reduction of Variables; 5.6 Time Series Analysis; 6 Methods; 6.1 Methods Overview; 6.2 Supervised Learning; 6.3 Multiple Linear Regression for Use When Target is Continuous; 6.4 Regression When the Target is Not Continuous; 6.5 Decision Trees
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 6.6 Neural Networks6.7 Which Method Produces the Best Model? A Comparison of Regression, Decision Trees and Neural Networks; 6.8 Unsupervised Learning; 6.9 Cluster Analysis; 6.10 Kohonen Networks and Self-Organising Maps; 6.11 Group Purchase Methods: Association and Sequence Analysis; 7 Validation and Application; 7.1 Introduction to Methods for Validation; 7.2 Lift and Gain Charts; 7.3 Model Stability; 7.4 Sensitivity Analysis; 7.5 Threshold Analytics and Confusion Matrix; 7.6 ROC Curves; 7.7 Cross-Validation and Robustness; 7.8 Model Complexity; Part III: Data mining in action; 8 Marketing
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 8.1 Recipe 1: Response Optimisation: To Find and Address the Right Number of Customers8.2 Recipe 2: To Find the x% of Customers with the Highest Affinity to an Offer; 8.3 Recipe 3: To Find the Right Number of Customers to Ignore; 8.4 Recipe 4: To Find the x% of Customers with the Lowest Affinity to an Offer; 8.5 Recipe 5: To Find the x% of Customers with the Highest Affinity to Buy; 8.6 Recipe 6: To Find the x% of Customers with the Lowest Affinity to Buy; 8.7 Recipe 7: To Find the x% of Customers with the Highest Affinity to a Single Purchase
526 ## - STUDY PROGRAM INFORMATION NOTE
Department Global Studies and Governance
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 Marketing
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Management
General subdivision Mathematical models.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COMPUTERS
General subdivision General.
Source of heading or term bisacsh
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 Management
General subdivision Mathematical models.
Source of heading or term fast
-- (OCoLC)fst01007201
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Marketing
General subdivision Data processing.
Source of heading or term fast
-- (OCoLC)fst01010187
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Marketing - Data processing.
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
655 #0 - 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 Ahlemeyer-Stubbe, Andrea.
Title Practical guide to data mining for business and industry.
Place, publisher, and date of publication Chichester, West Sussex, United Kingdom : Wiley, 2014
International Standard Book Number 9781119977131
Record control number (DLC) 2013047218
-- (OCoLC)865179974
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1002/9781118763704">http://dx.doi.org/10.1002/9781118763704</a>
Public note Wiley Online Library
994 ## -
-- 92
-- DG1

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