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Imbalanced learning : (Record no. 40573)

MARC details
000 -LEADER
fixed length control field	05400nam a2200553 i 4500
001 - CONTROL NUMBER
control field	6542371
003 - CONTROL NUMBER IDENTIFIER
control field	IEEE
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20230927112355.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field	m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field	cr \|n\|\|\|\|\|\|\|\|\|
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field	151222s2013 njua ob 001 eng d
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
Canceled/invalid LC control number	2013019555 (print)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number	9781118646106
Qualifying information	ebook
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN	9781118074626
Qualifying information	print
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN	1118646207
Qualifying information	electronic
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code	10.1002/9781118646106
Source of number or code	doi
035 ## - SYSTEM CONTROL NUMBER
System control number	(CaBNVSL)mat06542371
035 ## - SYSTEM CONTROL NUMBER
System control number	(IDAMS)0b00006481da1ac4
040 ## - CATALOGING SOURCE
Original cataloging agency	CaBNVSL
Language of cataloging	eng
Description conventions	rda
Transcribing agency	CaBNVSL
Modifying agency	CaBNVSL
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number	006.3/12
245 00 - TITLE STATEMENT
Title	Imbalanced learning :
Remainder of title	foundations, algorithms, and applications /
Statement of responsibility, etc.	edited by Haibo He, Yunqian Ma.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture	Piscataway, NJ :
Name of producer, publisher, distributor, manufacturer	IEEE Press ;
Place of production, publication, distribution, manufacture	Hoboken, New Jersey :
Name of producer, publisher, distributor, manufacturer	Wiley,
Date of production, publication, distribution, manufacture, or copyright notice	[2013]
264 #2 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture	[Piscataqay, New Jersey] :
Name of producer, publisher, distributor, manufacturer	IEEE Xplore,
Date of production, publication, distribution, manufacture, or copyright notice	[2013]
300 ## - PHYSICAL DESCRIPTION
Extent	1 PDF (xi, 210 pages) :
Other physical details	illustrations.
336 ## - CONTENT TYPE
Content type term	text
Source	rdacontent
337 ## - MEDIA TYPE
Media type term	electronic
Source	isbdmedia
338 ## - CARRIER TYPE
Carrier type term	online resource
Source	rdacarrier
500 ## - GENERAL NOTE
General note	In Wiley online library
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note	Includes bibliographical references.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note	Preface ix -- Contributors xi -- 1 Introduction 1 -- Haibo He -- 1.1 Problem Formulation, 1 -- 1.2 State-of-the-Art Research, 3 -- 1.3 Looking Ahead: Challenges and Opportunities, 6 -- 1.4 Acknowledgments, 7 -- References, 8 -- 2 Foundations of Imbalanced Learning 13 -- Gary M. Weiss -- 2.1 Introduction, 14 -- 2.2 Background, 14 -- 2.3 Foundational Issues, 19 -- 2.4 Methods for Addressing Imbalanced Data, 26 -- 2.5 Mapping Foundational Issues to Solutions, 35 -- 2.6 Misconceptions About Sampling Methods, 36 -- 2.7 Recommendations and Guidelines, 38 -- References, 38 -- 3 Imbalanced Datasets: From Sampling to Classifiers 43 -- T. Ryan Hoens and Nitesh V. Chawla -- 3.1 Introduction, 43 -- 3.2 Sampling Methods, 44 -- 3.3 Skew-Insensitive Classifiers for Class Imbalance, 49 -- 3.4 Evaluation Metrics, 52 -- 3.5 Discussion, 56 -- References, 57 -- 4 Ensemble Methods for Class Imbalance Learning 61 -- Xu-Ying Liu and Zhi-Hua Zhou -- 4.1 Introduction, 61 -- 4.2 Ensemble Methods, 62 -- 4.3 Ensemble Methods for Class Imbalance Learning, 66 -- 4.4 Empirical Study, 73 -- 4.5 Concluding Remarks, 79 -- References, 80 -- 5 Class Imbalance Learning Methods for Support Vector Machines 83 -- Rukshan Batuwita and Vasile Palade -- 5.1 Introduction, 83 -- 5.2 Introduction to Support Vector Machines, 84 -- 5.3 SVMs and Class Imbalance, 86 -- 5.4 External Imbalance Learning Methods for SVMs: Data Preprocessing Methods, 87 -- 5.5 Internal Imbalance Learning Methods for SVMs: Algorithmic Methods, 88 -- 5.6 Summary, 96 -- References, 96 -- 6 Class Imbalance and Active Learning 101 -- Josh Attenberg and Sd eyda Ertekin -- 6.1 Introduction, 102 -- 6.2 Active Learning for Imbalanced Problems, 103 -- 6.3 Active Learning for Imbalanced Data Classification, 110 -- 6.4 Adaptive Resampling with Active Learning, 122 -- 6.5 Difficulties with Extreme Class Imbalance, 129 -- 6.6 Dealing with Disjunctive Classes, 130 -- 6.7 Starting Cold, 132 -- 6.8 Alternatives to Active Learning for Imbalanced Problems, 133.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note	6.9 Conclusion, 144 -- References, 145 -- 7 Nonstationary Stream Data Learning with Imbalanced Class Distribution 151 -- Sheng Chen and Haibo He -- 7.1 Introduction, 152 -- 7.2 Preliminaries, 154 -- 7.3 Algorithms, 157 -- 7.4 Simulation, 167 -- 7.5 Conclusion, 182 -- 7.6 Acknowledgments, 183 -- References, 184 -- 8 Assessment Metrics for Imbalanced Learning 187 -- Nathalie Japkowicz -- 8.1 Introduction, 187 -- 8.2 A Review of Evaluation Metric Families and their Applicability -- to the Class Imbalance Problem, 189 -- 8.3 Threshold Metrics: Multiple- Versus Single-Class Focus, 190 -- 8.4 Ranking Methods and Metrics: Taking Uncertainty into Consideration, 196 -- 8.5 Conclusion, 204 -- 8.6 Acknowledgments, 205 -- References, 205 -- Index 207.
506 1# - RESTRICTIONS ON ACCESS NOTE
Terms governing access	Restricted to subscribers or individual electronic text purchasers.
520 ## - SUMMARY, ETC.
Summary, etc.	Solving imbalanced learning problems is critical in numerous data-intensive networked systems, including surveillance, security, Internet, finance, biomedical, and defense, to name a few. The first comprehensive look at this new branch of machine learning, this volume offers a critical review of the problem of imbalanced learning, covering the state-of-the-art in techniques, principles, and real-world applications. Scientists and engineers will learn how to tackle the problem of learning from imbalanced datasets, and gain insight into current developments in the field as well as future research.--[Source inconnue]
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note	Also available in print.
538 ## - SYSTEM DETAILS NOTE
System details note	Mode of access: World Wide Web
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note	Description based on PDF viewed 12/22/2015.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element	Data mining.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element	Information resources
General subdivision	Evaluation.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element	System analysis
General subdivision	Mathematical models.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element	Information resources management.
655 #0 - INDEX TERM--GENRE/FORM
Genre/form data or focus term	Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name	Ma, Yunqian,
Relator term	�editeur intellectuel.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name	He, Haibo,
Dates associated with a name	1976-,
Relator term	�editeur intellectuel.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element	IEEE Xplore (Online Service),
Relator term	distributor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element	Wiley,
Relator term	publisher.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information	Print version:
International Standard Book Number	9781118074626
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified	Abstract with links to resource
Uniform Resource Identifier	<a href="https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6542371">https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6542371</a>

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