國立虎尾科技大學 |

Analysis of Large and Complex Data

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Analysis of Large and Complex Data/ edited by Adalbert F.X. Wilhelm, Hans A. Kestler.
其他作者:	Wilhelm, Adalbert F.X.
面頁冊數:	XXVI, 656 p. 171 illus., 32 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Statistics . -
電子資源:	https://doi.org/10.1007/978-3-319-25226-1
ISBN:	9783319252261

Analysis of Large and Complex Data
Analysis of Large and Complex Data[electronic resource] /edited by Adalbert F.X. Wilhelm, Hans A. Kestler. - 1st ed. 2016. - XXVI, 656 p. 171 illus., 32 illus. in color.online resource. - Studies in Classification, Data Analysis, and Knowledge Organization,1431-8814. - Studies in Classification, Data Analysis, and Knowledge Organization,.

Part I Invited Papers -- Part II Big Data -- Part III Clustering -- Part IV Classification -- Part V Regression and other Statistical Techniques -- Part VI Applications -- Part VII Data Analysis in Marketing -- Part VIII Data Analysis in Finance -- Part IX Data Analysis in Medicine and Life Sciences -- Part X Data Analysis in Musicology -- Part XI Data Analysis in Interdisciplinary Domains -- Part XII Data Analysis in Social, Behavioural and Health Care Sciences -- Part XIII Data Analysis in Library Science -- .

This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis in Marketing; Data Analysis in Finance and Economics; Data Analysis in Medicine and the Life Sciences; Data Analysis in the Social, Behavioural, and Health Care Sciences; Data Analysis in Interdisciplinary Domains; Classification and Subject Indexing in Library and Information Science. The book presents selected papers from the Second European Conference on Data Analysis, held at Jacobs University Bremen in July 2014. This conference unites diverse researchers in the pursuit of a common topic, creating truly unique synergies in the process.p>.

ISBN: 9783319252261

Standard No.: 10.1007/978-3-319-25226-1doiSubjects--Topical Terms:

1253516
Statistics .

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

Analysis of Large and Complex Data
LDR:02923nam a22003975i 4500 001 972878
003 DE-He213
005 20200705121115.0
007 cr nn 008mamaa
008 201211s2016 gw | s |||| 0|eng d
020 $a 9783319252261 $9 978-3-319-25226-1
024 7 $a 10.1007/978-3-319-25226-1 $2 doi
035 $a 978-3-319-25226-1
050 4 $a QA276-280
072 7 $a UFM $2 bicssc
072 7 $a COM077000 $2 bisacsh
072 7 $a UFM $2 thema
082 0 4 $a 519.5 $2 23
245 1 0 $a Analysis of Large and Complex Data $h [electronic resource] / $c edited by Adalbert F.X. Wilhelm, Hans A. Kestler.
250 $a 1st ed. 2016.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a XXVI, 656 p. 171 illus., 32 illus. in color. $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
490 1 $a Studies in Classification, Data Analysis, and Knowledge Organization, $x 1431-8814
505 0 $a Part I Invited Papers -- Part II Big Data -- Part III Clustering -- Part IV Classification -- Part V Regression and other Statistical Techniques -- Part VI Applications -- Part VII Data Analysis in Marketing -- Part VIII Data Analysis in Finance -- Part IX Data Analysis in Medicine and Life Sciences -- Part X Data Analysis in Musicology -- Part XI Data Analysis in Interdisciplinary Domains -- Part XII Data Analysis in Social, Behavioural and Health Care Sciences -- Part XIII Data Analysis in Library Science -- .
520 $a This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis in Marketing; Data Analysis in Finance and Economics; Data Analysis in Medicine and the Life Sciences; Data Analysis in the Social, Behavioural, and Health Care Sciences; Data Analysis in Interdisciplinary Domains; Classification and Subject Indexing in Library and Information Science. The book presents selected papers from the Second European Conference on Data Analysis, held at Jacobs University Bremen in July 2014. This conference unites diverse researchers in the pursuit of a common topic, creating truly unique synergies in the process.p>.
650 0 $a Statistics . $3 1253516
650 0 $a Data mining. $3 528622
650 0 $a Mathematical statistics. $3 527941
650 0 $a Biostatistics. $3 783654
650 1 4 $a Statistics and Computing/Statistics Programs. $3 669775
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Statistics for Life Sciences, Medicine, Health Sciences. $3 670172
650 2 4 $a Statistics for Business, Management, Economics, Finance, Insurance. $3 1211158
650 2 4 $a Probability and Statistics in Computer Science. $3 669886
700 1 $a Wilhelm, Adalbert F.X. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1112832
700 1 $a Kestler, Hans A. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1112833
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319252247
776 0 8 $i Printed edition: $z 9783319252254
830 0 $a Studies in Classification, Data Analysis, and Knowledge Organization, $x 1431-8814 $3 1258814
856 4 0 $u https://doi.org/10.1007/978-3-319-25226-1
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)