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Data science and intelligent applica...

(1998 :)

Data science and intelligent applicationsproceedings of ICDSIA 2020 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data science and intelligent applicationsedited by Ketan Kotecha ... [et al.].
其他題名:	proceedings of ICDSIA 2020 /
其他題名:	ICDSIA 2020
其他作者:	Kotecha, Ketan.
團體作者:
出版者:	Singapore :Springer Singapore :2021.
面頁冊數:	xiii, 576 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Big dataCongresses.
電子資源:	https://doi.org/10.1007/978-981-15-4474-3
ISBN:	9789811544743$q(electronic bk.)

Data science and intelligent applicationsproceedings of ICDSIA 2020 /
Data science and intelligent applicationsproceedings of ICDSIA 2020 /[electronic resource] :ICDSIA 2020edited by Ketan Kotecha ... [et al.]. - Singapore :Springer Singapore :2021. - xiii, 576 p. :ill., digital ;24 cm. - Lecture notes on data engineering and communications technologies,v.522367-4512 ;. - Lecture notes on data engineering and communications technologies ;v.2..

Hate Speech Detection: A Bird's Eye View -- Intrusion Detection System Using Semi-supervised Machine Learning -- A Survey on Machine Learning and Deep Learning based Approaches for Sarcasm Identification in Social Media -- A Machine Learning Algorithm to Predict Financial Investment -- Genetic Algorithm based Task Scheduling for Load Balancing in Cloud -- Experimental Analysis of Measuring Neighbourhood Change in the Presence of Wormhole in Mobile Wireless Sensor Networks -- Privy Cloud/Web Server -- Automating Container Deployments Using CI/CD -- Security and Performance Evaluations of QUIC Protocol -- Comparative Survey of Digital Image Steganography Spatial Domain Techniques -- Automatic Evaluation of Analog Circuit Designs.

This book includes selected papers from the International Conference on Data Science and Intelligent Applications (ICDSIA 2020), hosted by Gandhinagar Institute of Technology (GIT), Gujarat, India, on January 24-25, 2020. The proceedings present original and high-quality contributions on theory and practice concerning emerging technologies in the areas of data science and intelligent applications. The conference provides a forum for researchers from academia and industry to present and share their ideas, views and results, while also helping them approach the challenges of technological advancements from different viewpoints. The contributions cover a broad range of topics, including: collective intelligence, intelligent systems, IoT, fuzzy systems, Bayesian networks, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, speech processing, machine learning and deep learning, and intelligent applications and systems. Helping strengthen the links between academia and industry, the book offers a valuable resource for instructors, students, industry practitioners, engineers, managers, researchers, and scientists alike.

ISBN: 9789811544743$q(electronic bk.)

Standard No.: 10.1007/978-981-15-4474-3doiSubjects--Topical Terms:

592065
Big data
--Congresses.

LC Class. No.: QA76.9.B45 / I57 2020

Dewey Class. No.: 005.7

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520 $a This book includes selected papers from the International Conference on Data Science and Intelligent Applications (ICDSIA 2020), hosted by Gandhinagar Institute of Technology (GIT), Gujarat, India, on January 24-25, 2020. The proceedings present original and high-quality contributions on theory and practice concerning emerging technologies in the areas of data science and intelligent applications. The conference provides a forum for researchers from academia and industry to present and share their ideas, views and results, while also helping them approach the challenges of technological advancements from different viewpoints. The contributions cover a broad range of topics, including: collective intelligence, intelligent systems, IoT, fuzzy systems, Bayesian networks, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, speech processing, machine learning and deep learning, and intelligent applications and systems. Helping strengthen the links between academia and industry, the book offers a valuable resource for instructors, students, industry practitioners, engineers, managers, researchers, and scientists alike.
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