東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Recent developments in data science ...

Tavana, Madjid.

Linked to FindBook

Google Book

Amazon

博客來

Recent developments in data science and business analytics = proceedings of the International Conference on Data Science and Business Analytics (ICDSBA- 2017) /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Recent developments in data science and business analytics/ edited by Madjid Tavana, Srikanta Patnaik.
Reminder of title:	proceedings of the International Conference on Data Science and Business Analytics (ICDSBA- 2017) /
remainder title:	ICDSBA 2017
other author:	Tavana, Madjid.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xvi, 505 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Management - Statistical methods -
Online resource:	http://dx.doi.org/10.1007/978-3-319-72745-5
ISBN:	9783319727455

Recent developments in data science and business analytics = proceedings of the International Conference on Data Science and Business Analytics (ICDSBA- 2017) /
Recent developments in data science and business analyticsproceedings of the International Conference on Data Science and Business Analytics (ICDSBA- 2017) /[electronic resource] :ICDSBA 2017edited by Madjid Tavana, Srikanta Patnaik. - Cham :Springer International Publishing :2018. - xvi, 505 p. :ill., digital ;24 cm. - Springer proceedings in business and economics,2198-7246. - Springer proceedings in business and economics..

This edited volume is brought out from the contributions of the research papers presented in the International Conference on Data Science and Business Analytics (ICDSBA- 2017), which was held during September 23-25 2017 in ChangSha, China. As we all know, the field of data science and business analytics is emerging at the intersection of the fields of mathematics, statistics, operations research, information systems, computer science and engineering. Data science and business analytics is an interdisciplinary field about processes and systems to extract knowledge or insights from data. Data science and business analytics employ techniques and theories drawn from many fields including signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pattern recognition, visualization, descriptive analytics, predictive analytics, prescriptive analytics, uncertainty modeling, big data, data warehousing, data compression, computer programming, business intelligence, computational intelligence, and high performance computing among others. The volume contains 55 contributions from diverse areas of Data Science and Business Analytics, which has been categorized into five sections, namely: i) Marketing and Supply Chain Analytics; ii) Logistics and Operations Analytics; iii) Financial Analytics. iv) Predictive Modeling and Data Analytics; v) Communications and Information Systems Analytics. The readers shall not only receive the theoretical knowledge about this upcoming area but also cutting edge applications of this domains.

ISBN: 9783319727455

Standard No.: 10.1007/978-3-319-72745-5doiSubjects--Topical Terms:

3307839
Management
--Statistical methods

LC Class. No.: HD30.215 / .R434 2018

Dewey Class. No.: 658.4013

Recent developments in data science and business analytics = proceedings of the International Conference on Data Science and Business Analytics (ICDSBA- 2017) /
LDR:02788nmm a2200337 a 4500 001 2136451
003 DE-He213
005 20180831143617.0
006 m d
007 cr nn 008maaau
008 181117s2018 gw s 0 eng d
020 $a 9783319727455 $q (electronic bk.)
020 $a 9783319727448 $q (paper)
024 7 $a 10.1007/978-3-319-72745-5 $2 doi
035 $a 978-3-319-72745-5
040 $a GP $c GP
041 0 $a eng
050 4 $a HD30.215 $b .R434 2018
072 7 $a KJT $2 bicssc
072 7 $a KJMD $2 bicssc
072 7 $a BUS049000 $2 bisacsh
082 0 4 $a 658.4013 $2 23
090 $a HD30.215 $b .R295 2018
245 0 0 $a Recent developments in data science and business analytics $h [electronic resource] : $b proceedings of the International Conference on Data Science and Business Analytics (ICDSBA- 2017) / $c edited by Madjid Tavana, Srikanta Patnaik.
246 3 $a ICDSBA 2017
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xvi, 505 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer proceedings in business and economics, $x 2198-7246
520 $a This edited volume is brought out from the contributions of the research papers presented in the International Conference on Data Science and Business Analytics (ICDSBA- 2017), which was held during September 23-25 2017 in ChangSha, China. As we all know, the field of data science and business analytics is emerging at the intersection of the fields of mathematics, statistics, operations research, information systems, computer science and engineering. Data science and business analytics is an interdisciplinary field about processes and systems to extract knowledge or insights from data. Data science and business analytics employ techniques and theories drawn from many fields including signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pattern recognition, visualization, descriptive analytics, predictive analytics, prescriptive analytics, uncertainty modeling, big data, data warehousing, data compression, computer programming, business intelligence, computational intelligence, and high performance computing among others. The volume contains 55 contributions from diverse areas of Data Science and Business Analytics, which has been categorized into five sections, namely: i) Marketing and Supply Chain Analytics; ii) Logistics and Operations Analytics; iii) Financial Analytics. iv) Predictive Modeling and Data Analytics; v) Communications and Information Systems Analytics. The readers shall not only receive the theoretical knowledge about this upcoming area but also cutting edge applications of this domains.
650 0 $a Management $x Statistical methods $x Data processing. $3 3307839
650 0 $a Decision making $x Statistical methods $x Data processing. $3 3307840
650 1 4 $a Business and Management. $2 eflch $3 1485455
650 2 4 $a Operations Research/Decision Theory. $3 890895
650 2 4 $a Big Data/Analytics. $3 2186785
650 2 4 $a Business Information Systems. $3 892640
700 1 $a Tavana, Madjid. $3 2056876
700 1 $a Patnaik, Srikanta. $3 1568498
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Springer proceedings in business and economics. $3 2058047
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-72745-5
950 $a Business and Management (Springer-41169)