國立高雄大學圖資館 |

Language: English

Back

Classification, (big) data analysis ...

Conversano, Claudio.

Classification, (big) data analysis and statistical learning

Record Type:	Electronic resources : Monograph/item
Title/Author:	Classification, (big) data analysis and statistical learningedited by Francesco Mola, Claudio Conversano, Maurizio Vichi.
other author:	Mola, Francesco.
Published:	Cham :Springer International Publishing :2018.
Description:	xvii, 242 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Mathematical statistics.
Online resource:	http://dx.doi.org/10.1007/978-3-319-55708-3
ISBN:	9783319557083$q(electronic bk.)

Classification, (big) data analysis and statistical learning
Classification, (big) data analysis and statistical learning[electronic resource] /edited by Francesco Mola, Claudio Conversano, Maurizio Vichi. - Cham :Springer International Publishing :2018. - xvii, 242 p. :ill. (some col.), digital ;24 cm. - Studies in classification, data analysis, and knowledge organization,1431-8814. - Studies in classification, data analysis, and knowledge organization..

This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of data from different sources, as well as social networks. It covers both methodological aspects as well as applications to a wide range of areas such as economics, marketing, education, social sciences, medicine, environmental sciences and the pharmaceutical industry. In addition, it describes the basic features of the software behind the data analysis results, and provides links to the corresponding codes and data sets where necessary. This book is intended for researchers and practitioners who are interested in the latest developments and applications in the field. The peer-reviewed contributions were presented at the 10th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in Santa Margherita di Pula (Cagliari), Italy, October 8-10, 2015.

ISBN: 9783319557083$q(electronic bk.)

Standard No.: 10.1007/978-3-319-55708-3doiSubjects--Topical Terms:

181877
Mathematical statistics.

LC Class. No.: QA276

Dewey Class. No.: 519.5

Classification, (big) data analysis and statistical learning
LDR:02136nmm a2200313 a 4500 001 531967
003 DE-He213
005 20180221150222.0
006 m d
007 cr nn 008maaau
008 181113s2018 gw s 0 eng d
020 $a 9783319557083$q(electronic bk.)
020 $a 9783319557076$q(paper)
024 7 $a 10.1007/978-3-319-55708-3 $2 doi
035 $a 978-3-319-55708-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA276
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
082 0 4 $a 519.5 $2 23
090 $a QA276 $b .C614 2018
245 0 0 $a Classification, (big) data analysis and statistical learning $h [electronic resource] / $c edited by Francesco Mola, Claudio Conversano, Maurizio Vichi.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xvii, 242 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in classification, data analysis, and knowledge organization, $x 1431-8814
520 $a This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of data from different sources, as well as social networks. It covers both methodological aspects as well as applications to a wide range of areas such as economics, marketing, education, social sciences, medicine, environmental sciences and the pharmaceutical industry. In addition, it describes the basic features of the software behind the data analysis results, and provides links to the corresponding codes and data sets where necessary. This book is intended for researchers and practitioners who are interested in the latest developments and applications in the field. The peer-reviewed contributions were presented at the 10th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in Santa Margherita di Pula (Cagliari), Italy, October 8-10, 2015.
650 0 $a Mathematical statistics. $3 181877
650 1 4 $a Statistics. $3 182057
650 2 4 $a Statistical Theory and Methods. $3 274054
650 2 4 $a Statistics and Computing/Statistics Programs. $3 275710
650 2 4 $a Statistics for Business/Economics/Mathematical Finance/Insurance. $3 274062
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Big Data. $3 760530
700 1 $a Mola, Francesco. $3 806731
700 1 $a Conversano, Claudio. $3 806732
700 1 $a Vichi, Maurizio. $3 515996
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Studies in classification, data analysis, and knowledge organization. $3 560291
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-55708-3
950 $a Mathematics and Statistics (Springer-11649)