The Resource Optimization based data mining : theory and applications, Yong Shi [and others]
Optimization based data mining : theory and applications, Yong Shi [and others]
Resource Information
The item Optimization based data mining : theory and applications, Yong Shi [and others] 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 2 library branches.
Resource Information
The item Optimization based data mining : theory and applications, Yong Shi [and others] 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 2 library branches.
- Summary
- Optimization techniques have been widely adopted to implement various data mining algorithms. In addition to well-known Support Vector Machines (SVMs) (which are based on quadratic programming), different versions of Multiple Criteria Programming (MCP) have been extensively used in data separations. Since optimization based data mining methods differ from statistics, decision tree induction, and neural networks, their theoretical inspiration has attracted many researchers who are interested in algorithm development of data mining. Optimization based Data Mining: Theory and Applications, mainly
- Language
- eng
- Extent
- 1 online resource (xv, 316 pages).
- Contents
-
- pt. 1. Support vector machines : theory and algorithms
- pt. 2. Multiple criteria programming : theory and algorithms
- pt. 3. Application in various fields
- Isbn
- 9780857295040
- Label
- Optimization based data mining : theory and applications
- Title
- Optimization based data mining
- Title remainder
- theory and applications
- Statement of responsibility
- Yong Shi [and others]
- Language
- eng
- Summary
- Optimization techniques have been widely adopted to implement various data mining algorithms. In addition to well-known Support Vector Machines (SVMs) (which are based on quadratic programming), different versions of Multiple Criteria Programming (MCP) have been extensively used in data separations. Since optimization based data mining methods differ from statistics, decision tree induction, and neural networks, their theoretical inspiration has attracted many researchers who are interested in algorithm development of data mining. Optimization based Data Mining: Theory and Applications, mainly
- Cataloging source
- GW5XE
- Dewey number
- 006.3/12
- Index
- index present
- Language note
- English
- LC call number
- QA76.9.D343
- LC item number
- O68 2011
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorDate
- 1956-
- http://library.link/vocab/relatedWorkOrContributorName
- Shi, Yong
- Series statement
- Advanced information and knowledge processing
- http://library.link/vocab/subjectName
-
- Data mining
- Informatique
- Data mining
- Label
- Optimization based data mining : theory and applications, Yong Shi [and others]
- Bibliography note
- Includes bibliographical references and indexes
- 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
- pt. 1. Support vector machines : theory and algorithms -- pt. 2. Multiple criteria programming : theory and algorithms -- pt. 3. Application in various fields
- Control code
- 733543342
- Dimensions
- unknown
- Extent
- 1 online resource (xv, 316 pages).
- Form of item
- online
- Isbn
- 9780857295040
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-0-85729-504-0
- http://library.link/vocab/ext/overdrive/overdriveId
- 978-0-85729-503-3
- Specific material designation
- remote
- System control number
- (OCoLC)733543342
- Label
- Optimization based data mining : theory and applications, Yong Shi [and others]
- Bibliography note
- Includes bibliographical references and indexes
- 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
- pt. 1. Support vector machines : theory and algorithms -- pt. 2. Multiple criteria programming : theory and algorithms -- pt. 3. Application in various fields
- Control code
- 733543342
- Dimensions
- unknown
- Extent
- 1 online resource (xv, 316 pages).
- Form of item
- online
- Isbn
- 9780857295040
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-0-85729-504-0
- http://library.link/vocab/ext/overdrive/overdriveId
- 978-0-85729-503-3
- Specific material designation
- remote
- System control number
- (OCoLC)733543342
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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/Optimization-based-data-mining--theory-and/e52ddrjjQb0/" 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/Optimization-based-data-mining--theory-and/e52ddrjjQb0/">Optimization based data mining : theory and applications, Yong Shi [and others]</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>
