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Advances in Data Science and Management = Proceedings of ICDSM 2019 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advances in Data Science and Management/ edited by Samarjeet Borah, Valentina Emilia Balas, Zdzislaw Polkowski.
其他題名:	Proceedings of ICDSM 2019 /
其他作者:	Polkowski, Zdzislaw.
面頁冊數:	XIV, 563 p. 284 illus., 231 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Data Mining and Knowledge Discovery. -
電子資源:	https://doi.org/10.1007/978-981-15-0978-0
ISBN:	9789811509780

Advances in Data Science and Management = Proceedings of ICDSM 2019 /
Advances in Data Science and ManagementProceedings of ICDSM 2019 /[electronic resource] :edited by Samarjeet Borah, Valentina Emilia Balas, Zdzislaw Polkowski. - 1st ed. 2020. - XIV, 563 p. 284 illus., 231 illus. in color.online resource. - Lecture Notes on Data Engineering and Communications Technologies,372367-4512 ;. - Lecture Notes on Data Engineering and Communications Technologies,3.

Introduction -- Data and Knowledge Visualization -- Knowledge Discovery and Management -- Application of Data in Cloud -- Deep Learning -- Natural Language Processing, Geo Location Handling -- Application of Data Mining Methods -- Big Data and Applications -- Applications of Virtualized Data.-Data Intelligence in IoT -- Industry 4.0 and Digital Manufacturing -- Data Driven Approximation -- Traffic Engineering -- Artificial Intelligence -- Applications in Transportation -- Jet Grouting Column Diameter Prediction -- Case Studies -- Conclusion.

This book includes high-quality papers presented at the International Conference on Data Science and Management (ICDSM 2019), organised by the Gandhi Institute for Education and Technology, Bhubaneswar, from 22 to 23 February 2019. It features research in which data science is used to facilitate the decision-making process in various application areas, and also covers a wide range of learning methods and their applications in a number of learning problems. The empirical studies, theoretical analyses and comparisons to psychological phenomena described contribute to the development of products to meet market demands.

ISBN: 9789811509780

Standard No.: 10.1007/978-981-15-0978-0doiSubjects--Topical Terms:

677765
Data Mining and Knowledge Discovery.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Advances in Data Science and Management = Proceedings of ICDSM 2019 /
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