東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Data science = innovative developmen...

Palumbo, Francesco.

FindBook

Google Book

Amazon

博客來

Data science = innovative developments in data analysis and clustering /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data science/ edited by Francesco Palumbo, Angela Montanari, Maurizio Vichi.
其他題名:	innovative developments in data analysis and clustering /
其他作者:	Palumbo, Francesco.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xvi, 342 p. :ill., digital ;24 cm.
內容註:	Preface -- Part I: Classification Methods for High-Dimensional Data -- Scientific Contributions -- Part II: Clustering Methods and Applications -- Scientific Contributions -- Part III: Multivariate Methods and Applications -- Scientific Contributions.
Contained By:	Springer eBooks
標題:	Mathematical statistics - Congresses. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-55723-6
ISBN:	9783319557236

Data science = innovative developments in data analysis and clustering /
Data scienceinnovative developments in data analysis and clustering /[electronic resource] :edited by Francesco Palumbo, Angela Montanari, Maurizio Vichi. - Cham :Springer International Publishing :2017. - xvi, 342 p. :ill., digital ;24 cm. - Studies in classification, data analysis, and knowledge organization,1431-8814. - Studies in classification, data analysis, and knowledge organization..

Preface -- Part I: Classification Methods for High-Dimensional Data -- Scientific Contributions -- Part II: Clustering Methods and Applications -- Scientific Contributions -- Part III: Multivariate Methods and Applications -- Scientific Contributions.

This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth Conference of the International Federation of Classification Societies (IFCS2015), which was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015.

ISBN: 9783319557236

Standard No.: 10.1007/978-3-319-55723-6doiSubjects--Topical Terms:

543180
Mathematical statistics
--Congresses.

LC Class. No.: QA276.A1

Dewey Class. No.: 519.5

Data science = innovative developments in data analysis and clustering /
LDR:01920nmm a2200325 a 4500 001 2105727
003 DE-He213
005 20170704170850.0
006 m d
007 cr nn 008maaau
008 180417s2017 gw s 0 eng d
020 $a 9783319557236 $q (electronic bk.)
020 $a 9783319557229 $q (paper)
024 7 $a 10.1007/978-3-319-55723-6 $2 doi
035 $a 978-3-319-55723-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA276.A1
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
082 0 4 $a 519.5 $2 23
090 $a QA276.A1 $b D232 2017
245 0 0 $a Data science $h [electronic resource] : $b innovative developments in data analysis and clustering / $c edited by Francesco Palumbo, Angela Montanari, Maurizio Vichi.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xvi, 342 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in classification, data analysis, and knowledge organization, $x 1431-8814
505 0 $a Preface -- Part I: Classification Methods for High-Dimensional Data -- Scientific Contributions -- Part II: Clustering Methods and Applications -- Scientific Contributions -- Part III: Multivariate Methods and Applications -- Scientific Contributions.
520 $a This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth Conference of the International Federation of Classification Societies (IFCS2015), which was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015.
650 0 $a Mathematical statistics $v Congresses. $3 543180
650 0 $a Electronic data processing $x Congresses. $3 660077
650 1 4 $a Statistics. $3 517247
650 2 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Statistics and Computing/Statistics Programs. $3 894293
650 2 4 $a Big Data. $3 3134868
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 1005896
650 2 4 $a Statistics for Business/Economics/Mathematical Finance/Insurance. $3 891081
700 1 $a Palumbo, Francesco. $3 1086604
700 1 $a Montanari, Angela. $3 3250899
700 1 $a Vichi, Maurizio. $3 2162925
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in classification, data analysis, and knowledge organization. $3 1568262
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-55723-6
950 $a Mathematics and Statistics (Springer-11649)