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The Resource Data mining in e-learning, edited by C. Romero, S. Ventura

Data mining in e-learning, edited by C. Romero, S. Ventura

Label
Data mining in e-learning
Title
Data mining in e-learning
Statement of responsibility
edited by C. Romero, S. Ventura
Contributor
Subject
Language
eng
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Romero, C.
  • Ventura, S.
Series statement
Advances in management information,
Series volume
v. 4
http://library.link/vocab/subjectName
  • Data mining
  • Computer-assisted instruction
Label
Data mining in e-learning, edited by C. Romero, S. Ventura
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Contents
  • Ch. 3.
  • Data mining for the analysis of content interaction in Web-based learning and training systems
  • C. Pahl
  • Ch. 4.
  • On using data mining for browsing log analysis in learning environments
  • F. Wang
  • Pt. 2.
  • Case studies experiences for e-learning : towards non-intrusive Web mining
  • Ch. 5.
  • Recommender systems for e-learning : towards non-intrusive Web mining
  • Pt. 1.
  • O. R. Zalane
  • Ch. 6.
  • Active, context-dependent, data-centered techniques for e-learning a case study of a research paper recommender system
  • T. Tang and G. McCalla
  • Ch. 7.
  • Applying Web usage mining for the analysis of behavior in Web-based learning environments
  • K. Becker, M. Vanzin, C. Marquardt and D. Ruiz
  • Ch. 8.
  • Association analysis for a Web-based educational system
  • B. Minaei-Bidgoli, P. Tan, G. Kortemeyer and W. F. Punch
  • An introduction of e-learning systems, data mining and their interactions
  • Ch. 9.
  • Data mining in personalizing distance education courses
  • W. Hamalainen, T. H. Laine and E. Sutinen
  • Ch. 10.
  • Rule mining with GBGP to improve Web-based adaptive educational systems
  • C. Romero, S. Ventura, C. Hervas and P. Gonzalez
  • Ch. 11.
  • Identifying gifted students and their learning paths using data mining techniques
  • S. Bae, S. H. Ha and S. C. Park
  • Ch. 12.
  • Ch. 1.
  • Data mining to support tutoring in virtual learning communities : experiences and challenges
  • E. Gaudioso and L. Talavera
  • Ch. 13.
  • Analysis of user navigational behavior for e-learning personalization
  • E. Mor, J. Minguillon and J. M. Carbo
  • Ch. 14.
  • Automatically constructing and e-textbook via Web mining
  • J. Chen and Q. Li
  • Ch. 15.
  • Online outlier detection of learners' irregular learning processes
  • Web-based educational hypermedia
  • M. Ueno
  • Ch. 16.
  • Use of data mining to examine an outreach call center's effectiveness and build a predictive model for classifying future marketing targets
  • J. Luan, C. Summa and M. Wieland
  • P. De Bra
  • Ch. 2.
  • Web mining for self-directed e-learning
  • P. Desikan, C. DeLong, K. Beemanapalli, A. Bose and J. Srivastava
Control code
10903587
Dimensions
23 cm
Extent
300 p.
Isbn
9781845641528
Isbn Type
(hbk.)
Lccn
2006920597
Other physical details
ill.
System control number
  • (OCoLC)ocm70398305
  • (DLC) 2006920597
  • (Uk)013444592
  • (BNAtoc)V8L51872
Label
Data mining in e-learning, edited by C. Romero, S. Ventura
Publication
Bibliography note
Includes bibliographical references and index
Contents
  • Ch. 3.
  • Data mining for the analysis of content interaction in Web-based learning and training systems
  • C. Pahl
  • Ch. 4.
  • On using data mining for browsing log analysis in learning environments
  • F. Wang
  • Pt. 2.
  • Case studies experiences for e-learning : towards non-intrusive Web mining
  • Ch. 5.
  • Recommender systems for e-learning : towards non-intrusive Web mining
  • Pt. 1.
  • O. R. Zalane
  • Ch. 6.
  • Active, context-dependent, data-centered techniques for e-learning a case study of a research paper recommender system
  • T. Tang and G. McCalla
  • Ch. 7.
  • Applying Web usage mining for the analysis of behavior in Web-based learning environments
  • K. Becker, M. Vanzin, C. Marquardt and D. Ruiz
  • Ch. 8.
  • Association analysis for a Web-based educational system
  • B. Minaei-Bidgoli, P. Tan, G. Kortemeyer and W. F. Punch
  • An introduction of e-learning systems, data mining and their interactions
  • Ch. 9.
  • Data mining in personalizing distance education courses
  • W. Hamalainen, T. H. Laine and E. Sutinen
  • Ch. 10.
  • Rule mining with GBGP to improve Web-based adaptive educational systems
  • C. Romero, S. Ventura, C. Hervas and P. Gonzalez
  • Ch. 11.
  • Identifying gifted students and their learning paths using data mining techniques
  • S. Bae, S. H. Ha and S. C. Park
  • Ch. 12.
  • Ch. 1.
  • Data mining to support tutoring in virtual learning communities : experiences and challenges
  • E. Gaudioso and L. Talavera
  • Ch. 13.
  • Analysis of user navigational behavior for e-learning personalization
  • E. Mor, J. Minguillon and J. M. Carbo
  • Ch. 14.
  • Automatically constructing and e-textbook via Web mining
  • J. Chen and Q. Li
  • Ch. 15.
  • Online outlier detection of learners' irregular learning processes
  • Web-based educational hypermedia
  • M. Ueno
  • Ch. 16.
  • Use of data mining to examine an outreach call center's effectiveness and build a predictive model for classifying future marketing targets
  • J. Luan, C. Summa and M. Wieland
  • P. De Bra
  • Ch. 2.
  • Web mining for self-directed e-learning
  • P. Desikan, C. DeLong, K. Beemanapalli, A. Bose and J. Srivastava
Control code
10903587
Dimensions
23 cm
Extent
300 p.
Isbn
9781845641528
Isbn Type
(hbk.)
Lccn
2006920597
Other physical details
ill.
System control number
  • (OCoLC)ocm70398305
  • (DLC) 2006920597
  • (Uk)013444592
  • (BNAtoc)V8L51872

Library Locations

    • ManawatÅ« LibraryBorrow it
      Tennent Drive, Palmerston North, Palmerston North, 4472, NZ
      -40.385340 175.617349
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