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The text mining handbook = advanced ...
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ProQuest (Firm)
The text mining handbook = advanced approaches in analyzing unstructured data /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
The text mining handbook/ Ronen Feldman, James Sanger.
Reminder of title:
advanced approaches in analyzing unstructured data /
Author:
Feldman, Ronen,
other author:
Sanger, James,
Published:
Cambridge ;Cambridge University Press, : 2007.,
Description:
xii, 410 p. :ill. :
Subject:
Data mining - Congresses. -
Online resource:
Click to View
The text mining handbook = advanced approaches in analyzing unstructured data /
Feldman, Ronen,1962-
The text mining handbook
advanced approaches in analyzing unstructured data /[electronic resource] :Ronen Feldman, James Sanger. - Cambridge ;Cambridge University Press,2007. - xii, 410 p. :ill.
Includes bibliographical references (p. 335-387) and index.
Introduction to text mining -- Core text mining operations -- Text mining preprocessing techniques -- Categorization -- Clustering -- Information extraction -- Probabilistic models for information extraction -- Preprocessing applications using probabilistic and hybrid approaches -- Presentation-layer considerations for browsing and query refinement -- Visualization approaches -- Link analysis -- Text mining applications.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Nat. Bib. No.: GBA627545bnb
UkSubjects--Topical Terms:
528575
Data mining
--Congresses.Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: QA76.9.D343 / F45 2007
Dewey Class. No.: 005.74
The text mining handbook = advanced approaches in analyzing unstructured data /
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Introduction to text mining -- Core text mining operations -- Text mining preprocessing techniques -- Categorization -- Clustering -- Information extraction -- Probabilistic models for information extraction -- Preprocessing applications using probabilistic and hybrid approaches -- Presentation-layer considerations for browsing and query refinement -- Visualization approaches -- Link analysis -- Text mining applications.
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