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Mining latent entity structures / (Record no. 562127)

000 -LEADER
fixed length control field 06362nam a2200769 i 4500
001 - CONTROL NUMBER
control field 7084069
003 - CONTROL NUMBER IDENTIFIER
control field IEEE
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200413152917.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m eo d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cn |||m|||a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150426s2015 caua foab 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781627056618
Qualifying information ebook
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781627056601
Qualifying information print
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.2200/S00625ED1V01Y201502DMK010
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (CaBNVSL)swl00404858
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)908031780
040 ## - CATALOGING SOURCE
Original cataloging agency CaBNVSL
Language of cataloging eng
Description conventions rda
Transcribing agency CaBNVSL
Modifying agency CaBNVSL
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.D343
Item number W255 2015
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Wang, Chi.,
Relator term author.
245 10 - TITLE STATEMENT
Title Mining latent entity structures /
Statement of responsibility, etc. Chi Wang, Jiawei Han.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) :
Name of producer, publisher, distributor, manufacturer Morgan & Claypool,
Date of production, publication, distribution, manufacture, or copyright notice 2015.
300 ## - PHYSICAL DESCRIPTION
Extent 1 PDF (xi, 147 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
490 1# - SERIES STATEMENT
Series statement Synthesis lectures on data mining and knowledge discovery,
International Standard Serial Number 2151-0075 ;
Volume/sequential designation # 10
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web.
538 ## - SYSTEM DETAILS NOTE
System details note System requirements: Adobe Acrobat Reader.
500 ## - GENERAL NOTE
General note Part of: Synthesis digital library of engineering and computer science.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (pages 141-145).
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction -- 1.1 Motivation -- 1.2 Data model: a text-rich heterogeneous information network modeL -- 1.3 Latent entity structure -- 1.4 The mining framework -- 1.4.1 Hierarchical topic and community discovery -- 1.4.2 Topical phrase mining -- 1.4.3 Entity topical role analysis -- 1.4.4 Entity relationship mining --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2. Hierarchical topic and community discovery -- 2.1 Generative model for text or homogeneous networks -- 2.2 Generative model for heterogeneous network -- 2.2.1 The basic model -- 2.2.2 Learning link-type weights -- 2.2.3 Shape of hierarchy -- 2.3 Empirical analysis -- 2.3.1 Efficacy of subtopic discovery -- 2.3.2 Topical hierarchy quality -- 2.3.3 Case study --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3. Topical phrase mining -- 3.1 Criteria of good phrases and topical phrases -- 3.2 KERT: mining phrases in short, content-representative text -- 3.2.1 Phrase quality -- 3.2.2 Topical phrase quality -- 3.3 ToPMine: mining phrases in general text -- 3.3.1 Frequent phrase mining -- 3.3.2 Segmentation and phrase filtering -- 3.3.3 Topical phrase ranking -- 3.4 Empirical analysis -- 3.4.1 The impact of the four criteria -- 3.4.2 Comparison of mining methods -- 3.4.3 Scalability --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4. Entity topical role analysis -- 4.1 Role of given entities -- 4.1.1 Entity specific phrase ranking -- 4.1.2 Distribution over subtopics -- 4.1.3 Case study -- 4.2 Entities of given roles --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 5. Mining entity relations -- 5.1 Unsupervised hierarchical relation mining -- 5.1.1 Notations -- 5.1.2 Assumptions and framework -- 5.1.3 Stage 1: preprocessing -- 5.1.4 Stage 2: TPFG model -- 5.1.5 Model inference -- 5.1.6 Empirical analysis -- 5.2 Supervised hierarchical relation mining -- 5.2.1 Conditional random field for hierarchical relationship -- 5.2.2 Potential function design -- 5.2.3 Model inference and learning -- 5.2.4 Empirical analysis -- 5.3 Semi-supervised co-profiling -- 5.3.1 Observations -- 5.3.2 Model -- 5.3.3 Inference algorithm -- 5.3.4 Empirical analysis --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 6. Scalable and robust topic discovery -- 6.1 Latent dirichlet allocation with topic tree -- 6.2 The STROD algorithm -- 6.2.1 Moment-based inference -- 6.2.2 Scalability improvement -- 6.2.3 Hyperparameter learning -- 6.3 Empirical analysis -- 6.3.1 Scalability -- 6.3.2 Robustness -- 6.3.3 Interpretability --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 7. Application and research frontier -- 7.1 Application -- 7.1.1 Online analytical processing of information networks -- 7.1.2 Social influence and viral marketing -- 7.1.3 Relevance targeting -- 7.2 Research frontier --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Bibliography -- Authors' biographies.
506 1# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Abstract freely available; full-text restricted to subscribers or individual document purchasers.
510 0# - CITATION/REFERENCES NOTE
Name of source Compendex
510 0# - CITATION/REFERENCES NOTE
Name of source INSPEC
510 0# - CITATION/REFERENCES NOTE
Name of source Google scholar
510 0# - CITATION/REFERENCES NOTE
Name of source Google book search
520 3# - SUMMARY, ETC.
Summary, etc. The 'big data' era is characterized by an explosion of information in the form of digital data collections, ranging from scientific knowledge, to social media, news, and everyone's daily life. Examples of such collections include scientific publications, enterprise logs, news articles, social media, and general web pages. Valuable knowledge about multi-typed entities is often hidden in the unstructured or loosely structured, interconnected data. Mining latent structures around entities uncovers hidden knowledge such as implicit topics, phrases, entity roles and relationships. In this monograph, we investigate the principles and methodologies of mining latent entity structures from massive unstructured and interconnected data. We propose a text-rich information network model for modeling data in many different domains. This leads to a series of new principles and powerful methodologies for mining latent structures, including (1) latent topical hierarchy, (2) quality topical phrases, (3) entity roles in hierarchical topical communities, and (4) entity relations. This book also introduces applications enabled by the mined structures and points out some promising research directions.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Also available in print.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Title from PDF title page (viewed on April 26, 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 Latent structure analysis.
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term information networks
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term text mining
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term link analysis
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term topic modeling
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term phrase extraction
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term role discovery
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term clustering
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term ranking
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term relationship mining
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term probabilistic models
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term real-world applications
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term efficient and scalable algorithms
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Han, Jiawei.,
Relator term author.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9781627056601
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Synthesis digital library of engineering and computer science.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Synthesis lectures on data mining and knowledge discovery ;
Volume/sequential designation # 10.
International Standard Serial Number 2151-0075
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to resource
Uniform Resource Identifier http://ieeexplore.ieee.org/servlet/opac?bknumber=7084069
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Barcode Date last seen Price effective from Koha item type
        PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2020-04-13 EBKE627 2020-04-13 2020-04-13 E books

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