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
Resource Information
The item Handbook of data mining and knowledge discovery, edited by Willi Klösgen and Jan M. Żytkow represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Handbook of data mining and knowledge discovery, edited by Willi Klösgen and Jan M. Żytkow represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
- Language
- eng
- Extent
- xxii, 1026 pages
- 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
- Isbn
- 9780195118315
- 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
- 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
- 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
- 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
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Handbook-of-data-mining-and-knowledge-discovery/CVeTDp9vIQ8/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Handbook-of-data-mining-and-knowledge-discovery/CVeTDp9vIQ8/">Handbook of data mining and knowledge discovery, edited by Willi Klösgen and Jan M. Żytkow</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
