國立虎尾科技大學 |

Big Data Analysis: New Algorithms for a New Society

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Big Data Analysis: New Algorithms for a New Society/ edited by Nathalie Japkowicz, Jerzy Stefanowski.
其他作者:	Japkowicz, Nathalie.
面頁冊數:	XII, 329 p. 63 illus., 35 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-319-26989-4
ISBN:	9783319269894

Big Data Analysis: New Algorithms for a New Society
Big Data Analysis: New Algorithms for a New Society[electronic resource] /edited by Nathalie Japkowicz, Jerzy Stefanowski. - 1st ed. 2016. - XII, 329 p. 63 illus., 35 illus. in color.online resource. - Studies in Big Data,162197-6503 ;. - Studies in Big Data,8.

A Machine Learning Perspective on Big Data Analysis -- An Insight on Big Data Analytics -- Toward Problem Solving Support based on Big Data and Domain Knowledge: Interactive Granular Computing and Adaptive Judgment -- An overview of Conceptdrift Applications.- Analysis of Text-Enriched Heterogeneous Information Networks.- Implementing Big Data Analytics Projects in Business -- Data mining in Business: Current Advances and Future Challenges -- Industrial-Scale Ad Hoc Risk Analytics Using MapReduce -- Big Data and the Internet of Things -- Social Network Analysis in Streaming Call Graphs.- Scalable Cloud-Based Data Analysis Software Systems for Big Data From Next Generation Sequencing -- Discovering Networks of Interdependent Features in High-Dimensional Problems -- Final Remarks on Big Data Analysis and its Impact on Society and Science.

This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.

ISBN: 9783319269894

Standard No.: 10.1007/978-3-319-26989-4doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Big Data Analysis: New Algorithms for a New Society
LDR:03380nam a22004095i 4500 001 972421
003 DE-He213
005 20200701094014.0
007 cr nn 008mamaa
008 201211s2016 gw | s |||| 0|eng d
020 $a 9783319269894 $9 978-3-319-26989-4
024 7 $a 10.1007/978-3-319-26989-4 $2 doi
035 $a 978-3-319-26989-4
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Big Data Analysis: New Algorithms for a New Society $h [electronic resource] / $c edited by Nathalie Japkowicz, Jerzy Stefanowski.
250 $a 1st ed. 2016.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a XII, 329 p. 63 illus., 35 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 Big Data, $x 2197-6503 ; $v 16
505 0 $a A Machine Learning Perspective on Big Data Analysis -- An Insight on Big Data Analytics -- Toward Problem Solving Support based on Big Data and Domain Knowledge: Interactive Granular Computing and Adaptive Judgment -- An overview of Conceptdrift Applications.- Analysis of Text-Enriched Heterogeneous Information Networks.- Implementing Big Data Analytics Projects in Business -- Data mining in Business: Current Advances and Future Challenges -- Industrial-Scale Ad Hoc Risk Analytics Using MapReduce -- Big Data and the Internet of Things -- Social Network Analysis in Streaming Call Graphs.- Scalable Cloud-Based Data Analysis Software Systems for Big Data From Next Generation Sequencing -- Discovering Networks of Interdependent Features in High-Dimensional Problems -- Final Remarks on Big Data Analysis and its Impact on Society and Science.
520 $a This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.
650 0 $a Computational intelligence. $3 568984
650 0 $a Artificial intelligence. $3 559380
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence. $3 646849
700 1 $a Japkowicz, Nathalie. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 716415
700 1 $a Stefanowski, Jerzy. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1104109
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319269870
776 0 8 $i Printed edition: $z 9783319269887
776 0 8 $i Printed edition: $z 9783319800530
830 0 $a Studies in Big Data, $x 2197-6503 ; $v 8 $3 1256918
856 4 0 $u https://doi.org/10.1007/978-3-319-26989-4
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)