Data science and intelligent applications : proceedings of ICDSIA 2020 /

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Bibliographic Details
Meeting name:International Conference on Data Science and Intelligent Applications (2020 : Gujarat, India)
Imprint:Singapore : Springer, [2021].
Description:1 online resource (556 p.).
Language:English
Series:Lecture notes on data engineering and communications technologies ; v.52
Lecture notes on data engineering and communications technologies ; v. 52.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12605922
Hidden Bibliographic Details
Varying Form of Title:ICDSIA 2020
Other authors / contributors:Kotecha, Ketan.
Piuri, Vincenzo.
Shah, Hetalkumar N.
Patel, Rajan.
ISBN:9789811544743
9811544743
9811544735
9789811544736
Notes:International conference proceedings.
Description based upon print version of record.
A Comparative Study of Classification Techniques in Context of Microblogs Posted During Natural Disaster
Includes author index.
Summary: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.
Other form:Print version: Kotecha, Ketan Data Science and Intelligent Applications : Proceedings of ICDSIA 2020 Singapore : Springer,c2020 9789811544736
Standard no.:10.1007/978-981-15-4