The Resource Data mining and knowledge discovery handbook, edited by Oded Maimon and Lior Rokach
Data mining and knowledge discovery handbook, edited by Oded Maimon and Lior Rokach
Resource Information
The item Data mining and knowledge discovery handbook, edited by Oded Maimon and Lior Rokach 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 Data mining and knowledge discovery handbook, edited by Oded Maimon and Lior Rokach 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
- Knowledge Discovery demonstrates intelligent computing at its best, and is the most desirable and interesting end-product of Information Technology. To be able to discover and to extract knowledge from data is a task that many researchers and practitioners are endeavoring to accomplish. There is a lot of hidden knowledge waiting to be discovered - this is the challenge created by today's abundance of data. Data Mining and Knowledge Discovery Handbook, Second Edition organizes the most current concepts, theories, standards, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This handbook first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook, Second Edition is designed for research scientists, libraries and advanced-level students in computer science and engineering as a reference. This handbook is also suitable for professionals in industry, for computing applications, information systems management, and strategic research management
- Language
- eng
- Edition
- 2nd ed.
- Extent
- 1 online resource.
- Contents
-
- pt. 1. Preprocessing methods
- pt. 2. Supervised methods
- pt. 3. Unsupervised methods
- pt. 4. Soft computing methods
- pt. 5. Supporting methods
- pt. 6. Advanced methods
- pt. 7. Applications
- pt. 8. Software
- Isbn
- 9780387098234
- Label
- Data mining and knowledge discovery handbook
- Title
- Data mining and knowledge discovery handbook
- Statement of responsibility
- edited by Oded Maimon and Lior Rokach
- Language
- eng
- Summary
- Knowledge Discovery demonstrates intelligent computing at its best, and is the most desirable and interesting end-product of Information Technology. To be able to discover and to extract knowledge from data is a task that many researchers and practitioners are endeavoring to accomplish. There is a lot of hidden knowledge waiting to be discovered - this is the challenge created by today's abundance of data. Data Mining and Knowledge Discovery Handbook, Second Edition organizes the most current concepts, theories, standards, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This handbook first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook, Second Edition is designed for research scientists, libraries and advanced-level students in computer science and engineering as a reference. This handbook is also suitable for professionals in industry, for computing applications, information systems management, and strategic research management
- Cataloging source
- GW5XE
- Dewey number
- 006.312
- Illustrations
- illustrations
- Index
- index present
- Language note
- English
- LC call number
- QA76.9.D343
- LC item number
- D38 2010
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- handbooks
- http://library.link/vocab/relatedWorkOrContributorName
-
- Maimon, Oded
- Rokach, Lior
- http://library.link/vocab/subjectName
-
- Data mining
- Knowledge acquisition (Expert systems)
- COMPUTERS
- Informatique
- Data mining
- Knowledge acquisition (Expert systems)
- Label
- Data mining and knowledge discovery handbook, edited by Oded Maimon and Lior Rokach
- 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
- pt. 1. Preprocessing methods -- pt. 2. Supervised methods -- pt. 3. Unsupervised methods -- pt. 4. Soft computing methods -- pt. 5. Supporting methods -- pt. 6. Advanced methods -- pt. 7. Applications -- pt. 8. Software
- Control code
- 676698538
- Dimensions
- unknown
- Edition
- 2nd ed.
- Extent
- 1 online resource.
- Form of item
- online
- Isbn
- 9780387098234
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-0-387-09823-4
- http://library.link/vocab/ext/overdrive/overdriveId
- 978-0-387-09822-7
- Specific material designation
- remote
- System control number
- (OCoLC)676698538
- Label
- Data mining and knowledge discovery handbook, edited by Oded Maimon and Lior Rokach
- 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
- pt. 1. Preprocessing methods -- pt. 2. Supervised methods -- pt. 3. Unsupervised methods -- pt. 4. Soft computing methods -- pt. 5. Supporting methods -- pt. 6. Advanced methods -- pt. 7. Applications -- pt. 8. Software
- Control code
- 676698538
- Dimensions
- unknown
- Edition
- 2nd ed.
- Extent
- 1 online resource.
- Form of item
- online
- Isbn
- 9780387098234
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-0-387-09823-4
- http://library.link/vocab/ext/overdrive/overdriveId
- 978-0-387-09822-7
- Specific material designation
- remote
- System control number
- (OCoLC)676698538
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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/Data-mining-and-knowledge-discovery-handbook/tdn0EZz2i6Y/" 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/Data-mining-and-knowledge-discovery-handbook/tdn0EZz2i6Y/">Data mining and knowledge discovery handbook, edited by Oded Maimon and Lior Rokach</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>
