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The Resource Handbook of data mining and knowledge discovery, edited by Willi Klösgen and Jan M. Żytkow

Handbook of data mining and knowledge discovery, edited by Willi Klösgen and Jan M. Żytkow

Label
Handbook of data mining and knowledge discovery
Title
Handbook of data mining and knowledge discovery
Statement of responsibility
edited by Willi Klösgen and Jan M. Żytkow
Contributor
Subject
Genre
Language
eng
Cataloging source
DLC
Dewey number
006.3
Illustrations
illustrations
Index
index present
LC call number
QA76.9.D343
LC item number
H39 2002
Literary form
non fiction
Nature of contents
  • bibliography
  • handbooks
http://library.link/vocab/relatedWorkOrContributorName
  • Klösgen, Willi
  • Żytkow, Jan M
http://library.link/vocab/subjectName
  • Data mining
  • Database management
Label
Handbook of data mining and knowledge discovery, edited by Willi Klösgen and Jan M. Żytkow
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Data mining and knowledge discovery. Knowledge discovery in databases : the purpose, necessity, and challenges -- Knowledge discovery process -- Multidisciplinary contributions to knowledge discovery -- Fundamental concepts. Types and forms of data -- Types and forms of knowledge (patterns) -- Data and knowledge in database systems -- Logic perspective on data and knowledge -- Statistics perspective on data and knowledge -- Rough sets perspective on data and knowledge -- Fuzzy sets perspective on data and knowledge -- Search techniques -- Process of knowledge discovery in databases. Stages of the discovery process -- Data warehousing -- Data reduction -- Data visualization for domain exploration -- Data mining tasks and methods -- Task and method selection -- Domain knowledge to support the discovery process -- Knowledge evaluation -- Presentation and visualization -- From discovered knowledge to decisionmaking -- Legal aspects of KDD -- Discovery systems. Overview of discovery systems -- Case studies -- Interdisciplinary links of KDD. Statistics -- Using relational databases in KDD -- Artificial intelligence -- Machine learning -- Automated scientific discovery -- Fuzzy and rough sets -- Neural networks -- Evolutionary computation -- Visualization -- Business problems. Marketing -- Fraud detection -- Risk analysis -- Production control -- Text mining -- Multimedia applications -- Industry sectors. Banking and finance -- Telecommunications -- Engineering -- Medicine -- Pharmacology -- Sciences -- KDD in practice : case studies. Industry -- Public administration and health care -- Science
Control code
47838251
Dimensions
26 cm
Extent
xxii, 1026 pages
Isbn
9780195118315
Isbn Type
(alk. paper)
Lccn
2001039746
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
Label
Handbook of data mining and knowledge discovery, edited by Willi Klösgen and Jan M. Żytkow
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Data mining and knowledge discovery. Knowledge discovery in databases : the purpose, necessity, and challenges -- Knowledge discovery process -- Multidisciplinary contributions to knowledge discovery -- Fundamental concepts. Types and forms of data -- Types and forms of knowledge (patterns) -- Data and knowledge in database systems -- Logic perspective on data and knowledge -- Statistics perspective on data and knowledge -- Rough sets perspective on data and knowledge -- Fuzzy sets perspective on data and knowledge -- Search techniques -- Process of knowledge discovery in databases. Stages of the discovery process -- Data warehousing -- Data reduction -- Data visualization for domain exploration -- Data mining tasks and methods -- Task and method selection -- Domain knowledge to support the discovery process -- Knowledge evaluation -- Presentation and visualization -- From discovered knowledge to decisionmaking -- Legal aspects of KDD -- Discovery systems. Overview of discovery systems -- Case studies -- Interdisciplinary links of KDD. Statistics -- Using relational databases in KDD -- Artificial intelligence -- Machine learning -- Automated scientific discovery -- Fuzzy and rough sets -- Neural networks -- Evolutionary computation -- Visualization -- Business problems. Marketing -- Fraud detection -- Risk analysis -- Production control -- Text mining -- Multimedia applications -- Industry sectors. Banking and finance -- Telecommunications -- Engineering -- Medicine -- Pharmacology -- Sciences -- KDD in practice : case studies. Industry -- Public administration and health care -- Science
Control code
47838251
Dimensions
26 cm
Extent
xxii, 1026 pages
Isbn
9780195118315
Isbn Type
(alk. paper)
Lccn
2001039746
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations

Library Locations

    • Engineering Library & Technology CommonsBorrow it
      W2001 Lafferre Hall, Columbia, MO, 65211, US
      38.946102 -92.330125
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