Coverart for item
The Resource Visual data mining : theory, techniques and tools for visual analytics, Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika (eds.)

Visual data mining : theory, techniques and tools for visual analytics, Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika (eds.)

Label
Visual data mining : theory, techniques and tools for visual analytics
Title
Visual data mining
Title remainder
theory, techniques and tools for visual analytics
Statement of responsibility
Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika (eds.)
Creator
Contributor
Subject
Language
eng
Summary
The importance of visual data mining, as a strong sub-discipline of data mining, had already been recognized in the beginning of the decade. In 2005 a panel of renowned individuals met to address the shortcomings and drawbacks of the current state of visual information processing. The need for a systematic and methodological development of visual analytics was detected. This book aims at addressing this need. Through a collection of 21 contributions selected from more than 46 submissions, it offers a systematic presentation of the state of the art in the field. The volume is structured in three parts on theory and methodologies, techniques, and tools and applications
Member of
Cataloging source
GW5XE
http://library.link/vocab/creatorDate
1962-
http://library.link/vocab/creatorName
Simoff, Simeon J.
Dewey number
006.312
Illustrations
illustrations
Index
index present
LC call number
T385
LC item number
.S548 2008eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1964-
http://library.link/vocab/relatedWorkOrContributorName
  • Böhlen, Michael H.
  • Mazeika, Arturas
Series statement
  • Lecture notes in computer science
  • State of the art survey
  • LNCS Sublibrary: SL 3-Information Systemss and Application, incl. Internet/Web and HCI
Series volume
4404.
http://library.link/vocab/subjectName
  • Computer graphics
  • Data mining
  • Information storage and retrieval systems
  • Computer science
  • Informatique
  • Computer graphics
  • Computer science
  • Data mining
  • Information storage and retrieval systems
Label
Visual data mining : theory, techniques and tools for visual analytics, Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika (eds.)
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Visual Data Mining: An Introduction and Overview / Simeon J. Simoff, Michael H. Bohlen and Arturas Mazeika -- The 3DVDM Approach: A Case Study with Clickstream Data / Michael H. Bohlen [and others] -- Form-Semantics-Function : A Framework for Designing Visual Data Representations for Visual Data Mining / Simeon J. Simoff -- A Methodology for Exploring Association Models / Alipio Jorge, Joao Pocas and Paulo J. Azevedo -- Visual Exploration of Frequent Itemsets and Association Rules / Li Yang -- Visual Analytics: Scope and Challenges / Daniel A. Keim [and others] -- Using Nested Surfaces for Visual Detection of Structures in Databases / Arturas Mazeika, Michael H. Bohlen and Peer Mylov -- Visual Mining of Association Rules / Dario Bruzzese and Cristina Davino -- Interactive Decision Tree Construction for Interval and Taxonomical Data / Francois Poulet and Thanh-Nghi Do -- Visual Methods for Examining SVM Classifiers / Doina Caragea [and others] -- Text Visualization for Visual Text Analytics / John Risch [and others] -- Visual Discovery of Network Patterns of Interaction between Attributes / Simeon J. Simoff and John Galloway -- Mining Patterns for Visual Interpretation in a Multiple-Views Environment / Jose F. Rodrigues, Jr., Agma J.M. Traina and Caetano Traina, Jr. -- Using 2D Hierarchical Heavy Hitters to Investigate Binary Relationships / Daniel Trivellato, Arturas Mazeika and Michael H. Bohlen -- Complementing Visual Data Mining with the Sound Dimension: Sonification of Time Dependent Data / Monique Noirhomme-Fraiture [and others] -- Context Visualization for Visual Data Mining / Mao Lin Huang and Quang Vinh Nguyen -- Assisting Human Cognition in Visual Data Mining / Simeon J. Simoff, Michael H. Bohlen and Arturas Mazeika -- Immersive Visual Data Mining: The 3DVDM Approach / Henrik R. Nagel [and others] -- DataJewel: Integrating Visualization with Temporal Data Mining / Mihael Ankerst [and others] -- Visual Data Mining Environment / Stephen Kimani, Tiziana Catarci and Giuseppe Santucci -- Integrative Visual Data Mining of Biomedical Data: Investigating Cases in Chronic Fatigue Syndrome and Acute Lymphoblastic Leukaemia / Paul J. Kennedy [and others] -- Towards Effective Visual Data Mining with Cooperative Approaches / Francois Poulet
Control code
272298876
Dimensions
unknown
Extent
1 online resource (x, 406 pages)
Form of item
online
Isbn
9783540710806
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-540-71080-6.
Other physical details
illustrations.
http://library.link/vocab/ext/overdrive/overdriveId
978-3-540-71079-0
Specific material designation
remote
System control number
(OCoLC)272298876
Label
Visual data mining : theory, techniques and tools for visual analytics, Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika (eds.)
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Visual Data Mining: An Introduction and Overview / Simeon J. Simoff, Michael H. Bohlen and Arturas Mazeika -- The 3DVDM Approach: A Case Study with Clickstream Data / Michael H. Bohlen [and others] -- Form-Semantics-Function : A Framework for Designing Visual Data Representations for Visual Data Mining / Simeon J. Simoff -- A Methodology for Exploring Association Models / Alipio Jorge, Joao Pocas and Paulo J. Azevedo -- Visual Exploration of Frequent Itemsets and Association Rules / Li Yang -- Visual Analytics: Scope and Challenges / Daniel A. Keim [and others] -- Using Nested Surfaces for Visual Detection of Structures in Databases / Arturas Mazeika, Michael H. Bohlen and Peer Mylov -- Visual Mining of Association Rules / Dario Bruzzese and Cristina Davino -- Interactive Decision Tree Construction for Interval and Taxonomical Data / Francois Poulet and Thanh-Nghi Do -- Visual Methods for Examining SVM Classifiers / Doina Caragea [and others] -- Text Visualization for Visual Text Analytics / John Risch [and others] -- Visual Discovery of Network Patterns of Interaction between Attributes / Simeon J. Simoff and John Galloway -- Mining Patterns for Visual Interpretation in a Multiple-Views Environment / Jose F. Rodrigues, Jr., Agma J.M. Traina and Caetano Traina, Jr. -- Using 2D Hierarchical Heavy Hitters to Investigate Binary Relationships / Daniel Trivellato, Arturas Mazeika and Michael H. Bohlen -- Complementing Visual Data Mining with the Sound Dimension: Sonification of Time Dependent Data / Monique Noirhomme-Fraiture [and others] -- Context Visualization for Visual Data Mining / Mao Lin Huang and Quang Vinh Nguyen -- Assisting Human Cognition in Visual Data Mining / Simeon J. Simoff, Michael H. Bohlen and Arturas Mazeika -- Immersive Visual Data Mining: The 3DVDM Approach / Henrik R. Nagel [and others] -- DataJewel: Integrating Visualization with Temporal Data Mining / Mihael Ankerst [and others] -- Visual Data Mining Environment / Stephen Kimani, Tiziana Catarci and Giuseppe Santucci -- Integrative Visual Data Mining of Biomedical Data: Investigating Cases in Chronic Fatigue Syndrome and Acute Lymphoblastic Leukaemia / Paul J. Kennedy [and others] -- Towards Effective Visual Data Mining with Cooperative Approaches / Francois Poulet
Control code
272298876
Dimensions
unknown
Extent
1 online resource (x, 406 pages)
Form of item
online
Isbn
9783540710806
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-540-71080-6.
Other physical details
illustrations.
http://library.link/vocab/ext/overdrive/overdriveId
978-3-540-71079-0
Specific material designation
remote
System control number
(OCoLC)272298876

Library Locations

    • Ellis LibraryBorrow it
      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
    • Engineering Library & Technology CommonsBorrow it
      W2001 Lafferre Hall, Columbia, MO, 65211, US
      38.946102 -92.330125
Processing Feedback ...