國立虎尾科技大學 |

Data Management, Analytics and Innovation = Proceedings of ICDMAI 2018, Volume 2 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Data Management, Analytics and Innovation/ edited by Valentina Emilia Balas, Neha Sharma, Amlan Chakrabarti.
Reminder of title:	Proceedings of ICDMAI 2018, Volume 2 /
other author:	Balas, Valentina Emilia.
Description:	XIX, 542 p. 196 illus., 124 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Electrical engineering. -
Online resource:	https://doi.org/10.1007/978-981-13-1274-8
ISBN:	9789811312748

Data Management, Analytics and Innovation = Proceedings of ICDMAI 2018, Volume 2 /
Data Management, Analytics and InnovationProceedings of ICDMAI 2018, Volume 2 /[electronic resource] :edited by Valentina Emilia Balas, Neha Sharma, Amlan Chakrabarti. - 1st ed. 2019. - XIX, 542 p. 196 illus., 124 illus. in color.online resource. - Advances in Intelligent Systems and Computing,8392194-5357 ;. - Advances in Intelligent Systems and Computing,335.

An empirical study of website personalization effect on users intention to revisit ecommerce website through cognitive and hedonic experience -- Hierarchical Summarization of Text Documents using Topic Modeling and Formal Concept Analysis -- Green Information and Communication Technology Techniques in Higher Technical Education Institutions for Future Sustainability -- Comparative Study of Different Similarity Metrics in Highly Sparse Rating Dataset -- Multi-Document Summarization & Opinion Mining Using Stack Decoder Method and Neural Networks -- Data mining technology with fuzzy logic, neural networks and machine learning for agriculture -- 6-Tier Design Framework for Smart Solution as a Service (SSaaS) using Big Data.

The volume on Data Management, Analytics and Innovations presents the latest high-quality technical contributions and research results in the areas of data management and smart computing, big data management, artificial intelligence and data analytics along with advances in network technologies. It deals with the state-of-the-art topics and provides challenges and solutions for future development. Original, unpublished research work highlighting specific research domains from all viewpoints are contributed from scientists throughout the globe. This volume is mainly designed for professional audience, composed of researchers and practitioners in academia and industry.

ISBN: 9789811312748

Standard No.: 10.1007/978-981-13-1274-8doiSubjects--Topical Terms:

596380
Electrical engineering.

LC Class. No.: TK1-9971

Dewey Class. No.: 621.382

Data Management, Analytics and Innovation = Proceedings of ICDMAI 2018, Volume 2 /
LDR:02835nam a22003975i 4500 001 1009024
003 DE-He213
005 20201229133336.0
007 cr nn 008mamaa
008 210106s2019 si | s |||| 0|eng d
020 $a 9789811312748 $9 978-981-13-1274-8
024 7 $a 10.1007/978-981-13-1274-8 $2 doi
035 $a 978-981-13-1274-8
050 4 $a TK1-9971
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 621.382 $2 23
245 1 0 $a Data Management, Analytics and Innovation $h [electronic resource] : $b Proceedings of ICDMAI 2018, Volume 2 / $c edited by Valentina Emilia Balas, Neha Sharma, Amlan Chakrabarti.
250 $a 1st ed. 2019.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a XIX, 542 p. 196 illus., 124 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 Advances in Intelligent Systems and Computing, $x 2194-5357 ; $v 839
505 0 $a An empirical study of website personalization effect on users intention to revisit ecommerce website through cognitive and hedonic experience -- Hierarchical Summarization of Text Documents using Topic Modeling and Formal Concept Analysis -- Green Information and Communication Technology Techniques in Higher Technical Education Institutions for Future Sustainability -- Comparative Study of Different Similarity Metrics in Highly Sparse Rating Dataset -- Multi-Document Summarization & Opinion Mining Using Stack Decoder Method and Neural Networks -- Data mining technology with fuzzy logic, neural networks and machine learning for agriculture -- 6-Tier Design Framework for Smart Solution as a Service (SSaaS) using Big Data.
520 $a The volume on Data Management, Analytics and Innovations presents the latest high-quality technical contributions and research results in the areas of data management and smart computing, big data management, artificial intelligence and data analytics along with advances in network technologies. It deals with the state-of-the-art topics and provides challenges and solutions for future development. Original, unpublished research work highlighting specific research domains from all viewpoints are contributed from scientists throughout the globe. This volume is mainly designed for professional audience, composed of researchers and practitioners in academia and industry.
650 0 $a Electrical engineering. $3 596380
650 0 $a Big data. $3 981821
650 0 $a Data structures (Computer science). $3 680370
650 0 $a Artificial intelligence. $3 559380
650 1 4 $a Communications Engineering, Networks. $3 669809
650 2 4 $a Big Data. $3 1017136
650 2 4 $a Data Structures. $3 669824
650 2 4 $a Artificial Intelligence. $3 646849
700 1 $a Balas, Valentina Emilia. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 897253
700 1 $a Sharma, Neha. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1117284
700 1 $a Chakrabarti, Amlan. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1117283
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811312731
776 0 8 $i Printed edition: $z 9789811312755
830 0 $a Advances in Intelligent Systems and Computing, $x 2194-5357 ; $v 335 $3 1253884
856 4 0 $u https://doi.org/10.1007/978-981-13-1274-8
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)