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Text data management and analysis : a practical introduction to information retrieval and text mining / First Edition

Text data management and analysis : a practical introduction to information retrieval and text mining / First Edition (Loan 1 times)

Material type
단행본
Personal Author
Zhai, ChengXiang. Massung, Sean.
Title Statement
Text data management and analysis : a practical introduction to information retrieval and text mining / ChengXiang Zhai, University of Illinois at Urbana-Champaign, Sean Massung, University of Illinois at Urbana-Champaign.
판사항
First Edition.
Publication, Distribution, etc
[New York] :   ACM Books,   c2016.  
Physical Medium
xx, 510 p. : ill. (some col.) ; 24 cm.
Series Statement
ACM Books,2374-6769 ; #12
ISBN
9781970001198 9781970001167 (pbk.)
요약
The growth of "big data" created unprecedented opportunities to leverage computational and statistical approaches to turn raw data into actionable knowledge that can support various application tasks. This is especially true for the optimization of decision making in virtually all application domains such as health and medicine, security and safety, learning and education, scientific discovery, and business intelligence. Just as a microscope enables us to see things in the "micro world" and a telescope allows us to see things far away, one can imagine a "big data scope" would enable us to extend our perception ability to "see" useful hidden information and knowledge buried in the data, which can help make predictions and improve the optimality of a chosen decision. This book covers general computational techniques for managing and analyzing large amounts of text data that can help users manage and make use of text data in all kinds of applications.
Bibliography, Etc. Note
Includes bibliographical references (p. 477-488) and index.
Subject Added Entry-Topical Term
Natural language processing (Computer science). Data mining. Computational linguistics --Statistical methods.
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010 ▼a 2017448518
020 ▼a 9781970001198
020 ▼a 9781970001167 (pbk.)
035 ▼a (KERIS)REF000018597835
040 ▼a NLGGC ▼b eng ▼c NLGGC ▼e rda ▼d OCLCO ▼d SEA ▼d OCLCF ▼d YDX ▼d NGU ▼d CHVBK ▼d OCLCO ▼d DLC ▼d 211009
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082 0 4 ▼a 006.312 ▼2 23
084 ▼a 006.312 ▼2 DDCK
090 ▼a 006.312 ▼b Z632t
100 1 ▼a Zhai, ChengXiang.
245 1 0 ▼a Text data management and analysis : ▼b a practical introduction to information retrieval and text mining / ▼c ChengXiang Zhai, University of Illinois at Urbana-Champaign, Sean Massung, University of Illinois at Urbana-Champaign.
250 ▼a First Edition.
260 ▼a [New York] : ▼b ACM Books, ▼c c2016.
300 ▼a xx, 510 p. : ▼b ill. (some col.) ; ▼c 24 cm.
490 1 ▼a ACM Books, ▼x 2374-6769 ; ▼v #12
504 ▼a Includes bibliographical references (p. 477-488) and index.
520 ▼a The growth of "big data" created unprecedented opportunities to leverage computational and statistical approaches to turn raw data into actionable knowledge that can support various application tasks. This is especially true for the optimization of decision making in virtually all application domains such as health and medicine, security and safety, learning and education, scientific discovery, and business intelligence. Just as a microscope enables us to see things in the "micro world" and a telescope allows us to see things far away, one can imagine a "big data scope" would enable us to extend our perception ability to "see" useful hidden information and knowledge buried in the data, which can help make predictions and improve the optimality of a chosen decision. This book covers general computational techniques for managing and analyzing large amounts of text data that can help users manage and make use of text data in all kinds of applications.
650 0 ▼a Natural language processing (Computer science).
650 0 ▼a Data mining.
650 0 ▼a Computational linguistics ▼x Statistical methods.
700 1 ▼a Massung, Sean.
830 0 ▼a ACM books ; ▼v #12.
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.312 Z632t Accession No. 121246197 Availability Available Due Date Make a Reservation Service B M

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