Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Discovering knowledge in data = an i...
~
Larose, Chantal D.
Discovering knowledge in data = an introduction to data mining /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Discovering knowledge in data/ Daniel T. Larose and Chantal D. Larose.
Reminder of title:
an introduction to data mining /
Author:
Larose, Daniel T.
other author:
Larose, Chantal D.
Published:
Hoboken :Wiley, : 2014.,
Description:
1 online resource (xviii, 316 p.)
Subject:
Data mining. -
Online resource:
http://onlinelibrary.wiley.com/book/10.1002/9781118874059
ISBN:
9781118873571$q(ePub)
Discovering knowledge in data = an introduction to data mining /
Larose, Daniel T.
Discovering knowledge in data
an introduction to data mining /[electronic resource] :Daniel T. Larose and Chantal D. Larose. - 2nd ed. - Hoboken :Wiley,2014. - 1 online resource (xviii, 316 p.) - Wiley series on methods and applications in data mining. - Wiley series on methods and applications in data mining..
Includes bibliographical references and index.
"This is a new edition of a highly praised, successful reference on data mining, now more important than ever due to the growth of the field and wide range of applications. This edition features new chapters on multivariate statistical analysis, covering analysis of variance and chi-square procedures; cost-benefit analyses; and time-series data analysis. There is also extensive coverage of the R statistical programming language. Graduate and advanced undergraduate students of computer science and statistics, managers/CEOs/CFOs, marketing executives, market researchers and analysts, sales analysts, and medical professionals will want this comprehensive reference"--
ISBN: 9781118873571$q(ePub)
LCCN: 2014003777Subjects--Topical Terms:
528622
Data mining.
LC Class. No.: QA76.9.D343
Dewey Class. No.: 006.3/12
Discovering knowledge in data = an introduction to data mining /
LDR
:01962cam a2200349 i 4500
001
831744
003
OCoLC
005
20151014111046.0
006
m o d
007
cr |||||||||||
008
160215s2014 nju ob 001 0 eng
010
$a
2014003777
020
$a
9781118873571$q(ePub)
020
$a
1118873572$q(ePub)
020
$a
9781118873588$q(Adobe PDF)
020
$a
1118873580$q(Adobe PDF)
020
$a
9781118874059$q(electronic bk.)
020
$a
1118874056
020
$z
9780470908747$q(hardback)
035
$a
(OCoLC)869460667
035
$a
ocn869460667
040
$a
DLC
$b
eng
$c
DLC
$d
YDX
$d
N
$d
EBLCP
$d
NAM
$d
TEFOD
$d
YDXCP
$d
DG1
$d
CHVBK
$d
OCLCF
$d
B24X7
$d
COO
$d
OCLCQ
$d
TEFOD
050
0 0
$a
QA76.9.D343
082
0 0
$a
006.3/12
$2
23
100
1
$a
Larose, Daniel T.
$3
771632
245
1 0
$a
Discovering knowledge in data
$h
[electronic resource] :
$b
an introduction to data mining /
$c
Daniel T. Larose and Chantal D. Larose.
250
$a
2nd ed.
260
$a
Hoboken :
$b
Wiley,
$c
2014.
300
$a
1 online resource (xviii, 316 p.)
490
1
$a
Wiley series on methods and applications in data mining
504
$a
Includes bibliographical references and index.
520
$a
"This is a new edition of a highly praised, successful reference on data mining, now more important than ever due to the growth of the field and wide range of applications. This edition features new chapters on multivariate statistical analysis, covering analysis of variance and chi-square procedures; cost-benefit analyses; and time-series data analysis. There is also extensive coverage of the R statistical programming language. Graduate and advanced undergraduate students of computer science and statistics, managers/CEOs/CFOs, marketing executives, market researchers and analysts, sales analysts, and medical professionals will want this comprehensive reference"--
$c
Provided by publisher.
588
0
$a
Print version record and CIP data provided by publisher.
650
0
$a
Data mining.
$3
528622
700
1
$a
Larose, Chantal D.
$3
1060028
830
0
$a
Wiley series on methods and applications in data mining.
$3
641426
856
4 0
$u
http://onlinelibrary.wiley.com/book/10.1002/9781118874059
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login