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Date mining with ontologies = implem...
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ProQuest (Firm)
Date mining with ontologies = implementations, findings and frameworks /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Date mining with ontologies/ Hector Oscar Nigro, Sandra Gonzalez Cisaro, and Daniel Xodo, editors.
Reminder of title:
implementations, findings and frameworks /
other author:
Xodo, Daniel Hugo.
Published:
Hershey, PA :Information Science Reference, : c2008.,
Description:
xx, 289 p.
Subject:
Ontologies (Information retrieval) -
Online resource:
Click to View
Date mining with ontologies = implementations, findings and frameworks /
Date mining with ontologies
implementations, findings and frameworks /[electronic resource] :Hector Oscar Nigro, Sandra Gonzalez Cisaro, and Daniel Xodo, editors. - Hershey, PA :Information Science Reference,c2008. - xx, 289 p.
Includes bibliographical references and index.
"Prior knowledge in data mining is helpful for selecting suitable data and mining techniques, pruning the space of hypothesis, representing the output in a comprehensible way, and improving the overall method. This book examines methodologies and research for the development of ontological foundations for data mining to enhance the ability of ontology utilization and design"--Provided by publisher.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Subjects--Topical Terms:
567469
Ontologies (Information retrieval)
Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: QA76.9.D343 / D39 2008
Dewey Class. No.: 005.74
Date mining with ontologies = implementations, findings and frameworks /
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Hector Oscar Nigro, Sandra Gonzalez Cisaro, and Daniel Xodo, editors.
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Information Science Reference,
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xx, 289 p.
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Includes bibliographical references and index.
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"Prior knowledge in data mining is helpful for selecting suitable data and mining techniques, pruning the space of hypothesis, representing the output in a comprehensible way, and improving the overall method. This book examines methodologies and research for the development of ontological foundations for data mining to enhance the ability of ontology utilization and design"--Provided by publisher.
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