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Introduction to data mining : using SAS Enterprise Miner

Introduction to data mining : using SAS Enterprise Miner (Loan 6 times)

Material type
단행본
Personal Author
Cerrito, Patricia B.
Corporate Author
SAS Institute.
Title Statement
Introduction to data mining : using SAS Enterprise Miner / Patricia B. Cerrito.
Publication, Distribution, etc
Cary, N.C. :   SAS Institute,   c2006.  
Physical Medium
x, 468 p. : ill. (some col.) ; 28 cm.+ 1 CD-ROM (4 3/4 in.).
Series Statement
SAS Press series
ISBN
1590478290 9781590478295
General Note
"This manual provides a general, practical introduction to data mining using SAS Enterprise Miner and SAS Text Miner software"--Pref.  
Includes index.  
Content Notes
Basics of SAS Enterprise Miner 5.2 -- Data visualization -- SAS Text Miner software -- Data summary -- Association node -- SAS Text Miner software with the association node -- Predictive modeling -- Cluster analysis -- Time series analysis -- Written presentations -- Example data mining papers.
Subject Added Entry-Topical Term
Data mining.
000 01483namuu2200337 a 4500
001 000045612582
005 20101008102051
008 071120s2006 ncua 001 0 eng d
010 ▼a 2007276044
020 ▼a 1590478290
020 ▼a 9781590478295
035 ▼a (KERIS)BIB000010960428
040 ▼a 211061 ▼d 244002
042 ▼a lccopycat
050 0 0 ▼a QA76.9.D343 ▼b C43 2006
082 0 4 ▼a 006.312 ▼2 22
090 ▼a 006.312 ▼b C417i
100 1 ▼a Cerrito, Patricia B.
245 1 0 ▼a Introduction to data mining : ▼b using SAS Enterprise Miner / ▼c Patricia B. Cerrito.
260 ▼a Cary, N.C. : ▼b SAS Institute, ▼c c2006.
300 ▼a x, 468 p. : ▼b ill. (some col.) ; ▼c 28 cm.+ ▼e 1 CD-ROM (4 3/4 in.).
440 0 ▼a SAS Press series
500 ▼a "This manual provides a general, practical introduction to data mining using SAS Enterprise Miner and SAS Text Miner software"--Pref.
500 ▼a Includes index.
505 0 ▼a Basics of SAS Enterprise Miner 5.2 -- Data visualization -- SAS Text Miner software -- Data summary -- Association node -- SAS Text Miner software with the association node -- Predictive modeling -- Cluster analysis -- Time series analysis -- Written presentations -- Example data mining papers.
538 ▼a System requirements for CD-ROM: Adobe Acrobat Reader 6.0 or later.
630 0 0 ▼a SAS (Computer file)
630 0 0 ▼a Enterprise miner.
650 0 ▼a Data mining.
710 2 ▼a SAS Institute.

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Sejong Academic Information Center/Science & Technology/ Call Number 006.312 C417i Accession No. 151290350 Availability Available Due Date Make a Reservation Service C

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