The Resource Privacy preserving data mining, by Jaideep Vaidya, Chris Clifton, Michael Zhu
Privacy preserving data mining, by Jaideep Vaidya, Chris Clifton, Michael Zhu
Resource Information
The item Privacy preserving data mining, by Jaideep Vaidya, Chris Clifton, Michael Zhu 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 Privacy preserving data mining, by Jaideep Vaidya, Chris Clifton, Michael Zhu 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
- Privacy preserving data mining implies the "mining" of knowledge from distributed data without violating the privacy of the individual/corporations involved in contributing the data. This volume provides an overview of approaches, techniques and open problems in privacy preserving data mining. It is for industry practitioners and policy makers
- Language
- eng
- Extent
- 1 online resource (120 pages)
- Contents
-
- 1. Privacy and Data Mining; 2. What is Privacy?; 3. Solution Approaches / Problems; 4. Predictive Modeling for Classification; 5. Predictive Modeling for Regression; 6. Finding Patterns and Rules (Association Rules); 7. Descriptive Modeling (Clustering, Outlier Detection); 8. Future Research
- Isbn
- 9780387258867
- Label
- Privacy preserving data mining
- Title
- Privacy preserving data mining
- Statement of responsibility
- by Jaideep Vaidya, Chris Clifton, Michael Zhu
- Subject
-
- COMPUTERS -- Database Management | General
- COMPUTERS -- Desktop Applications | Databases
- COMPUTERS -- System Administration | Storage & Retrieval
- Computer Science
- Computer Systems Organization and Communication Networks
- Computer network architectures
- Computer network architectures
- Computer network architectures
- Computer science
- Computer science
- Computer science
- Bases de données -- Sécurité | Mesures
- Data Structures, Cryptology and Information Theory
- Data encryption (Computer science)
- Data encryption (Computer science)
- Data encryption (Computer science)
- Data mining
- Data mining
- Data mining
- Data mining
- Data protection
- Data protection
- Data protection
- Data protection
- Data structures (Computer science)
- Data structures (Computer science)
- Data structures (Computer science)
- Database Management
- Database management
- Database management
- Database management
- Database security
- Database security
- Database security
- Database security
- Electronic books
- Electronic bookss
- Exploration de données (Informatique)
- Information Storage and Retrieval
- Information storage and retrieval systems
- Information storage and retrieval systems
- Information storage and retrieval systems
- Informatique
- Protection de l'information (Informatique)
- Data Encryption
- Language
- eng
- Summary
- Privacy preserving data mining implies the "mining" of knowledge from distributed data without violating the privacy of the individual/corporations involved in contributing the data. This volume provides an overview of approaches, techniques and open problems in privacy preserving data mining. It is for industry practitioners and policy makers
- Cataloging source
- GW5XE
- http://library.link/vocab/creatorName
- Vaidya, Jaideep
- Dewey number
- 006.312
- Illustrations
- illustrations
- Index
- index present
- Language note
- English
- LC call number
- QA76.9.D314
- LC item number
- V35 2006eb
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
-
- Zhu, Michael
- Clifton, Christopher Wade
- Series statement
- Advances in information security
- Series volume
- v. 19
- http://library.link/vocab/subjectName
-
- Computer network architectures
- Data encryption (Computer science)
- Data mining
- Data protection
- Data structures (Computer science)
- Database management
- Database security
- Information storage and retrieval systems
- Computer science
- Computer Science
- Computer Systems Organization and Communication Networks
- Data Encryption
- Data Structures, Cryptology and Information Theory
- Database Management
- Information Storage and Retrieval
- COMPUTERS
- COMPUTERS
- COMPUTERS
- Data mining
- Database security
- Exploration de données (Informatique)
- Protection de l'information (Informatique)
- Bases de données
- Data protection
- Informatique
- Computer network architectures
- Computer science
- Data encryption (Computer science)
- Data mining
- Data protection
- Data structures (Computer science)
- Database management
- Database security
- Information storage and retrieval systems
- Label
- Privacy preserving data mining, by Jaideep Vaidya, Chris Clifton, Michael Zhu
- Bibliography note
- Includes bibliographical references ([115]-120) 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
- 1. Privacy and Data Mining; 2. What is Privacy?; 3. Solution Approaches / Problems; 4. Predictive Modeling for Classification; 5. Predictive Modeling for Regression; 6. Finding Patterns and Rules (Association Rules); 7. Descriptive Modeling (Clustering, Outlier Detection); 8. Future Research
- Control code
- 209967495
- Dimensions
- unknown
- Extent
- 1 online resource (120 pages)
- Form of item
- online
- Isbn
- 9780387258867
- Lccn
- 2005934034
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
-
- 9780387294899 (e-ISBN)
- 10.1007/978-0-387-29489-6
- Other physical details
- illustrations.
- http://library.link/vocab/ext/overdrive/overdriveId
- 978-0-387-25886-7
- Specific material designation
- remote
- System control number
- (OCoLC)209967495
- Label
- Privacy preserving data mining, by Jaideep Vaidya, Chris Clifton, Michael Zhu
- Bibliography note
- Includes bibliographical references ([115]-120) 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
- 1. Privacy and Data Mining; 2. What is Privacy?; 3. Solution Approaches / Problems; 4. Predictive Modeling for Classification; 5. Predictive Modeling for Regression; 6. Finding Patterns and Rules (Association Rules); 7. Descriptive Modeling (Clustering, Outlier Detection); 8. Future Research
- Control code
- 209967495
- Dimensions
- unknown
- Extent
- 1 online resource (120 pages)
- Form of item
- online
- Isbn
- 9780387258867
- Lccn
- 2005934034
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
-
- 9780387294899 (e-ISBN)
- 10.1007/978-0-387-29489-6
- Other physical details
- illustrations.
- http://library.link/vocab/ext/overdrive/overdriveId
- 978-0-387-25886-7
- Specific material designation
- remote
- System control number
- (OCoLC)209967495
Subject
- COMPUTERS -- Database Management | General
- COMPUTERS -- Desktop Applications | Databases
- COMPUTERS -- System Administration | Storage & Retrieval
- Computer Science
- Computer Systems Organization and Communication Networks
- Computer network architectures
- Computer network architectures
- Computer network architectures
- Computer science
- Computer science
- Computer science
- Bases de données -- Sécurité | Mesures
- Data Structures, Cryptology and Information Theory
- Data encryption (Computer science)
- Data encryption (Computer science)
- Data encryption (Computer science)
- Data mining
- Data mining
- Data mining
- Data mining
- Data protection
- Data protection
- Data protection
- Data protection
- Data structures (Computer science)
- Data structures (Computer science)
- Data structures (Computer science)
- Database Management
- Database management
- Database management
- Database management
- Database security
- Database security
- Database security
- Database security
- Electronic books
- Electronic bookss
- Exploration de données (Informatique)
- Information Storage and Retrieval
- Information storage and retrieval systems
- Information storage and retrieval systems
- Information storage and retrieval systems
- Informatique
- Protection de l'information (Informatique)
- Data Encryption
Genre
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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/Privacy-preserving-data-mining-by-Jaideep/oYyXckdBOJc/" 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/Privacy-preserving-data-mining-by-Jaideep/oYyXckdBOJc/">Privacy preserving data mining, by Jaideep Vaidya, Chris Clifton, Michael Zhu</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>
