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Intelligence in Big Data Technologies—Beyond the Hype = Proceedings of ICBDCC 2019 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Intelligence in Big Data Technologies—Beyond the Hype/ edited by J. Dinesh Peter, Steven L. Fernandes, Amir H. Alavi.
其他題名:	Proceedings of ICBDCC 2019 /
其他作者:	Alavi, Amir H.
面頁冊數:	XIII, 636 p. 279 illus., 210 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Machine Learning. -
電子資源:	https://doi.org/10.1007/978-981-15-5285-4
ISBN:	9789811552854

Intelligence in Big Data Technologies—Beyond the Hype = Proceedings of ICBDCC 2019 /
Intelligence in Big Data Technologies—Beyond the HypeProceedings of ICBDCC 2019 /[electronic resource] :edited by J. Dinesh Peter, Steven L. Fernandes, Amir H. Alavi. - 1st ed. 2021. - XIII, 636 p. 279 illus., 210 illus. in color.online resource. - Advances in Intelligent Systems and Computing,11672194-5365 ;. - Advances in Intelligent Systems and Computing,335.

From Dew Over Cloud towards the Rainbow Ecosystem of the Future:Nature – Human – Machine -- L1 Norm SVD based Ranking Scheme: A Novel Method in Big Data Mining -- Human Annotation and Emotion Recognition for Counseling System with Cloud Environment using Deep Learning -- Enhancing Intricate details of ultrasound PCOD scan images using Tailored Anisotropic Diffusion Filter (TADF) -- LSTM and GRU Deep learning Architectures for Smoke Prediction System in Indoor Environment -- A mobile based framework for detecting objects using SSD-Mobilenet in indoor environment -- Privacy Preserving Big Data Publication: (K, L) Anonymity -- Comparative Analysis of the efficacy of the EEG based Machine Learning method for the screening and diagnosing of Alcohol Use Disorder (AUD) -- Smart solution for waste management: a coherent framework based on IoT and big data analytics -- Early detection of diabetes from daily routine activities: Predictive modeling based on machine learning techniques.

This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. The papers discuss the recent advances in the areas of big data analytics, data analytics in cloud, smart cities and grid, etc. This volume primarily focuses on the application of knowledge which promotes ideas for solving problems of the society through cutting-edge big-data technologies. The essays featured in this proceeding provide novel ideas that contribute for the growth of world class research and development. It will be useful to researchers in the area of advanced engineering sciences.

ISBN: 9789811552854

Standard No.: 10.1007/978-981-15-5285-4doiSubjects--Topical Terms:

1137723
Machine Learning.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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