The Resource Proactive data mining with decision trees, Haim Dahan, Shahar Cohen, Lior Rokach, Oded Maimon
Proactive data mining with decision trees, Haim Dahan, Shahar Cohen, Lior Rokach, Oded Maimon
Resource Information
The item Proactive data mining with decision trees, Haim Dahan, Shahar Cohen, Lior Rokach, Oded Maimon 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 Proactive data mining with decision trees, Haim Dahan, Shahar Cohen, Lior Rokach, Oded Maimon 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
- This book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only induces a model for predicting or explaining a phenomenon, but also utilizes specific problem/domain knowledge to suggest specific actions to achieve optimal changes in the value of the target attribute. In particular, the authors suggest a specific implementation of the domain-driven proactive approach for classification trees. The book centers on the core idea of moving observations from one branch of the tree to another. It introduces a novel splitting criterion for decision trees, termed maximal-utility, which maximizes the potential for enhancing profitability in the output tree. Two real-world case studies, one of a leading wireless operator and the other of a major security company, are also included and demonstrate how applying the proactive approach to classification tasks can solve business problems. Proactive Data Mining with Decision Trees is intended for researchers, practitioners and advanced-level students
- Language
- eng
- Extent
- 1 online resource (x, 88 pages)
- Contents
-
- Introduction
- Proactive Data Mining: A General Approach
- Proactive Data Mining Using Decision Trees
- Proactive Data Mining in the Real World: Case Studies
- Sensitivity Analysis of Proactive Data Mining
- Conclusions
- Isbn
- 9781493905393
- Label
- Proactive data mining with decision trees
- Title
- Proactive data mining with decision trees
- Statement of responsibility
- Haim Dahan, Shahar Cohen, Lior Rokach, Oded Maimon
- Language
- eng
- Summary
- This book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only induces a model for predicting or explaining a phenomenon, but also utilizes specific problem/domain knowledge to suggest specific actions to achieve optimal changes in the value of the target attribute. In particular, the authors suggest a specific implementation of the domain-driven proactive approach for classification trees. The book centers on the core idea of moving observations from one branch of the tree to another. It introduces a novel splitting criterion for decision trees, termed maximal-utility, which maximizes the potential for enhancing profitability in the output tree. Two real-world case studies, one of a leading wireless operator and the other of a major security company, are also included and demonstrate how applying the proactive approach to classification tasks can solve business problems. Proactive Data Mining with Decision Trees is intended for researchers, practitioners and advanced-level students
- Cataloging source
- GW5XE
- Dewey number
- 006.312
- Illustrations
- illustrations
- Index
- no index present
- LC call number
- QA76.9.D343
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
-
- Dahan, Haim
- Cohen, Shahar
- Rokach, Lior
- Maimon, Oded
- Series statement
- SpringerBriefs in Electrical and Computer Engineering,
- http://library.link/vocab/subjectName
-
- Data mining
- Decision trees
- COMPUTERS
- Data mining
- Decision trees
- Label
- Proactive data mining with decision trees, Haim Dahan, Shahar Cohen, Lior Rokach, Oded Maimon
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references
- 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
- Introduction -- Proactive Data Mining: A General Approach -- Proactive Data Mining Using Decision Trees -- Proactive Data Mining in the Real World: Case Studies -- Sensitivity Analysis of Proactive Data Mining -- Conclusions
- Control code
- 871257276
- Dimensions
- unknown
- Extent
- 1 online resource (x, 88 pages)
- File format
- unknown
- Form of item
- online
- Isbn
- 9781493905393
- Lccn
- 2014931371
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
-
- 10.1007/978-1-4939-0539-3
- 10.1007/978-1-4939-0
- Other physical details
- illustrations
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)871257276
- Label
- Proactive data mining with decision trees, Haim Dahan, Shahar Cohen, Lior Rokach, Oded Maimon
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references
- 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
- Introduction -- Proactive Data Mining: A General Approach -- Proactive Data Mining Using Decision Trees -- Proactive Data Mining in the Real World: Case Studies -- Sensitivity Analysis of Proactive Data Mining -- Conclusions
- Control code
- 871257276
- Dimensions
- unknown
- Extent
- 1 online resource (x, 88 pages)
- File format
- unknown
- Form of item
- online
- Isbn
- 9781493905393
- Lccn
- 2014931371
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
-
- 10.1007/978-1-4939-0539-3
- 10.1007/978-1-4939-0
- Other physical details
- illustrations
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)871257276
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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/Proactive-data-mining-with-decision-trees-Haim/wHaeBKaFffo/" 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/Proactive-data-mining-with-decision-trees-Haim/wHaeBKaFffo/">Proactive data mining with decision trees, Haim Dahan, Shahar Cohen, Lior Rokach, Oded Maimon</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>
