Mining intelligence and knowledge exploration : 7th International Conference, MIKE 2019, Goa, India, December 19-22, 2019, Proceedings /

Mining intelligence and knowledge exploration : 7th International Conference, MIKE 2019, Goa, India, December 19-22, 2019, Proceedings /

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Bibliographic Details
Meeting name:	MIKE (Conference) (7th : 2019 : Goa, India)
Imprint:	Cham : Springer, 2020.
Description:	1 online resource (357 pages)
Language:	English
Series:	Lecture Notes in Computer Science ; 11987 LNCS sublibrary: SL 7, Artificial Intelligence Lecture notes in computer science ; 11987. LNCS sublibrary. SL 7, Artificial intelligence.
Subject:	Data mining -- Congresses. Data mining. Application software. Artificial intelligence. Computer networks. Computers. Database management. User interfaces (Computer systems) Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12609631

Hidden Bibliographic Details
Varying Form of Title:	MIKE 2019
Other authors / contributors:	B. R., Purushothama. Thenkanidiyoor, Veena. Prasath, Rajendra. Vanga, Odelu.
ISBN:	9783030661878 3030661873 9783030661861 3030661865
Digital file characteristics:	text file PDF
Notes:	Includes author index. Exploring Chinese Dynamic Sentiment/Emotion Analysis with Text Mining-Taiwanese Popular Movie Reviews Comment as a Case. Online resource; title from PDF title page (SpringerLink, viewed February 17, 2021).
Summary:	This book constitutes the refereed conference proceedings of the 7th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2019, held in Goa, India, in December 2019. The 31 full papers were carefully reviewed and selected from 83 submissions. The accepted papers were chosen on the basis of research excellence, which provides a body of literature for researchers involved in exploring, developing, and validating learning algorithms and knowledge-discovery techniques. Accepted papers were grouped into various subtopics including evolutionary computation, knowledge exploration in IoT, artificial intelligence, machine learning, image processing, pattern recognition, speech processing, information retrieval, natural language processing, social network analysis, security, fuzzy rough sets, and other areas.
Other form:	Print version: B.R., Purushothama. Mining Intelligence and Knowledge Exploration. Cham : Springer International Publishing AG, ©2021 9783030661861
Standard no.:	10.1007/978-3-030-66187-8