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Data management, analytics and innov...

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Data management, analytics and innovationproceedings of ICDMAI 2018.Volume 2 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data management, analytics and innovationedited by Valentina Emilia Balas, Neha Sharma, Amlan Chakrabarti.
Reminder of title:	proceedings of ICDMAI 2018.
remainder title:	ICDMAI 2018
other author:	Balas, Valentina Emilia.
corporate name:
Published:	Singapore :Springer Singapore :2019.
Description:	xix, 542 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Database management
Online resource:	https://doi.org/10.1007/978-981-13-1274-8
ISBN:	9789811312748$q(electronic bk.)

Data management, analytics and innovationproceedings of ICDMAI 2018.Volume 2 /
Data management, analytics and innovationproceedings of ICDMAI 2018.Volume 2 /[electronic resource] :ICDMAI 2018edited by Valentina Emilia Balas, Neha Sharma, Amlan Chakrabarti. - Singapore :Springer Singapore :2019. - xix, 542 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.8392194-5357 ;. - Advances in intelligent systems and computing ;176..

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 Original, unpublished research work highlighting specific research domains from all viewpoints are contributed from scientists throughout the globe.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$q(electronic bk.)

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

253546
Database management

LC Class. No.: QA76.9.D3

Dewey Class. No.: 005.74

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