Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Data Analytics = Models and Algorith...
~
Runkler, Thomas A.
Data Analytics = Models and Algorithms for Intelligent Data Analysis /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Data Analytics/ by Thomas A. Runkler.
Reminder of title:
Models and Algorithms for Intelligent Data Analysis /
Author:
Runkler, Thomas A.
Description:
XII, 150 p. 66 illus.online resource. :
Contained By:
Springer Nature eBook
Subject:
Data mining. -
Online resource:
https://doi.org/10.1007/978-3-658-14075-5
ISBN:
9783658140755
Data Analytics = Models and Algorithms for Intelligent Data Analysis /
Runkler, Thomas A.
Data Analytics
Models and Algorithms for Intelligent Data Analysis /[electronic resource] :by Thomas A. Runkler. - 2nd ed. 2016. - XII, 150 p. 66 illus.online resource.
Data Analytics -- Data and Relations -- Data Preprocessing -- Data Visualization -- Correlation -- Regression -- Forecasting -- Classification -- Clustering.
This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in the Data Mining course at the Technical University of Munich. Much of the content is based on the results of industrial research and development projects at Siemens. Content • Data Analytics • Data and Relations • Data Preprocessing • Data Visualization • Correlation • Regression • Forecasting • Classification • Clustering Target Groups Students of computer science, mathematics and engineering Data analytics practitioners The Author Thomas A. Runkler is Principal Research Scientist at Siemens Corporate Technology and Professor for Computer Science at the Technical University of Munich.
ISBN: 9783658140755
Standard No.: 10.1007/978-3-658-14075-5doiSubjects--Topical Terms:
528622
Data mining.
LC Class. No.: QA76.9.D343
Dewey Class. No.: 006.312
Data Analytics = Models and Algorithms for Intelligent Data Analysis /
LDR
:02448nam a22003975i 4500
001
974336
003
DE-He213
005
20200702055404.0
007
cr nn 008mamaa
008
201211s2016 gw | s |||| 0|eng d
020
$a
9783658140755
$9
978-3-658-14075-5
024
7
$a
10.1007/978-3-658-14075-5
$2
doi
035
$a
978-3-658-14075-5
050
4
$a
QA76.9.D343
072
7
$a
UNF
$2
bicssc
072
7
$a
COM021030
$2
bisacsh
072
7
$a
UNF
$2
thema
072
7
$a
UYQE
$2
thema
082
0 4
$a
006.312
$2
23
100
1
$a
Runkler, Thomas A.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
883148
245
1 0
$a
Data Analytics
$h
[electronic resource] :
$b
Models and Algorithms for Intelligent Data Analysis /
$c
by Thomas A. Runkler.
250
$a
2nd ed. 2016.
264
1
$a
Wiesbaden :
$b
Springer Fachmedien Wiesbaden :
$b
Imprint: Springer Vieweg,
$c
2016.
300
$a
XII, 150 p. 66 illus.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
505
0
$a
Data Analytics -- Data and Relations -- Data Preprocessing -- Data Visualization -- Correlation -- Regression -- Forecasting -- Classification -- Clustering.
520
$a
This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in the Data Mining course at the Technical University of Munich. Much of the content is based on the results of industrial research and development projects at Siemens. Content • Data Analytics • Data and Relations • Data Preprocessing • Data Visualization • Correlation • Regression • Forecasting • Classification • Clustering Target Groups Students of computer science, mathematics and engineering Data analytics practitioners The Author Thomas A. Runkler is Principal Research Scientist at Siemens Corporate Technology and Professor for Computer Science at the Technical University of Munich.
650
0
$a
Data mining.
$3
528622
650
0
$a
Data structures (Computer science).
$3
680370
650
1 4
$a
Data Mining and Knowledge Discovery.
$3
677765
650
2 4
$a
Data Structures.
$3
669824
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783658140748
776
0 8
$i
Printed edition:
$z
9783658140762
856
4 0
$u
https://doi.org/10.1007/978-3-658-14075-5
912
$a
ZDB-2-SCS
912
$a
ZDB-2-SXCS
950
$a
Computer Science (SpringerNature-11645)
950
$a
Computer Science (R0) (SpringerNature-43710)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login