The Resource Applied Data Mining
Applied Data Mining
Resource Information
The item Applied Data Mining 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 Applied Data Mining 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
- Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between traditional data mining and the latest advances in newly emerging information services. It explores the extension of well-studied algorithms and approaches into these new research arenas
- Language
- eng
- Extent
- 1 online resource
- Contents
-
- Part I. Fundamentals
- 1. Introduction
- 2. Mathematical foundations
- 3. Data preparation
- 4. Clustering analysis
- 5. Classification
- 6. Frequent pattern mining
- part II. Advanced data mining
- 7. Advanced clustering analysis
- 8. Multi-label classification
- 9. Privacy preserving in data mining
- part III. Emerging applications
- 10. Data stream
- 11. Recommendation systems
- 12. Social tagging systems
- Isbn
- 9781299704435
- Label
- Applied Data Mining
- Title
- Applied Data Mining
- Language
- eng
- Summary
- Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between traditional data mining and the latest advances in newly emerging information services. It explores the extension of well-studied algorithms and approaches into these new research arenas
- Cataloging source
- IDEBK
- http://library.link/vocab/creatorName
- Xu, Guandong
- Dewey number
-
- 006.3/12
- 006.312
- Index
- no index present
- LC call number
- QA76.9.D343 X83 2013
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/subjectName
-
- Data mining
- Data mining
- Datenanalyse
- Datenaufbereitung
- Datenmanagement
- Big Data
- Label
- Applied Data Mining
- Bibliography note
- Includes bibliographical references (pages 266-269)
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Part I. Fundamentals -- 1. Introduction -- 2. Mathematical foundations -- 3. Data preparation -- 4. Clustering analysis -- 5. Classification -- 6. Frequent pattern mining -- part II. Advanced data mining -- 7. Advanced clustering analysis -- 8. Multi-label classification -- 9. Privacy preserving in data mining -- part III. Emerging applications -- 10. Data stream -- 11. Recommendation systems -- 12. Social tagging systems
- Control code
- 851154433
- Dimensions
- unknown
- Extent
- 1 online resource
- Form of item
- online
- Isbn
- 9781299704435
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- http://library.link/vocab/ext/overdrive/overdriveId
- 501694
- Specific material designation
- remote
- System control number
- (OCoLC)851154433
- Label
- Applied Data Mining
- Bibliography note
- Includes bibliographical references (pages 266-269)
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Part I. Fundamentals -- 1. Introduction -- 2. Mathematical foundations -- 3. Data preparation -- 4. Clustering analysis -- 5. Classification -- 6. Frequent pattern mining -- part II. Advanced data mining -- 7. Advanced clustering analysis -- 8. Multi-label classification -- 9. Privacy preserving in data mining -- part III. Emerging applications -- 10. Data stream -- 11. Recommendation systems -- 12. Social tagging systems
- Control code
- 851154433
- Dimensions
- unknown
- Extent
- 1 online resource
- Form of item
- online
- Isbn
- 9781299704435
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- http://library.link/vocab/ext/overdrive/overdriveId
- 501694
- Specific material designation
- remote
- System control number
- (OCoLC)851154433
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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/Applied-Data-Mining/y5bfB8yQVLA/" 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/Applied-Data-Mining/y5bfB8yQVLA/">Applied Data Mining</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>
