Intelligent information and database systems : Part I / 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022 : proceedings. Ngoc-Thanh Nguyen, Tien Khoa Tran, Ualsher Tukayev, Tzung-Pei Hong, Bogdan Trawinski, Edward Szczerbicki (eds.).

This book constitutes the refereed proceedings of the 14th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2022, held Ho Chi Minh City, Vietnam in November 2022. The 113 full papers accepted for publication in these proceedings were carefully reviewed and selected from 406 s...

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Bibliographic Details
Corporate Author: Asian Conference on Intelligent Information and Database Systems Ho Chi Minh City, Vietnam
Other Authors: Nguyen, Ngoc Thanh (Computer scientist) (Editor), Tran, Tien Khoa (Editor), Tukayev, Ualsher (Editor), Hong, Tzung-Pei, 1963- (Editor), Trawiński, Bogdan (Editor), Szczerbicki, Edward (Editor)
Format: eBook
Language:English
Published: Cham : Springer, [2022]
Series:Lecture notes in computer science ; 13757.
Lecture notes in computer science. Lecture notes in artificial intelligence.
LNCS sublibrary. Artificial intelligence.
Subjects:
Online Access:Click for online access
Description
Summary:This book constitutes the refereed proceedings of the 14th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2022, held Ho Chi Minh City, Vietnam in November 2022. The 113 full papers accepted for publication in these proceedings were carefully reviewed and selected from 406 submissions. The papers of the 2 volume-set are organized in the following topical sections: data mining and machine learning methods, advanced data mining techniques and applications, intelligent and contextual systems, natural language processing, network systems and applications, computational imaging and vision, decision support and control systems, and data modeling and processing for industry 4.0. The accepted and presented papers focus on new trends and challenges facing the intelligent information and database systems community.
Item Description:Selected conference papers.
Includes author index.
Physical Description:1 online resource (xxxiv, 720 pages) : illustrations (chiefly color).
Bibliography:References -- Using GPUs to Speed Up Genetic-Fuzzy Data Mining with Evaluation on All Large Itemsets -- 1 Introduction -- 2 Related Work -- 3 Components of the Proposed Algorithm -- 3.1 Chromosome Representation -- 3.2 Population Initialization -- 3.3 Fitness Function and Selection -- 3.4 Genetic Operators and Termination -- 4 The Proposed GFM-GPU-LAll Optimization Algorithm -- 5 Experimental Evaluations -- 6 Conclusions and Future Work -- References -- Efficient Classification with Counterfactual Reasoning and Active Learning -- 1 Introduction -- 2 Related Works -- 3 Framework
References -- SimCPSR: Simple Contrastive Learning for Paper Submission Recommendation System -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Contrastive Learning -- 3.2 Modeling -- 3.3 Evaluation Metrics -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Datasets -- 4.3 Training Details -- 4.4 Results -- 5 Conclusion and Further Works -- References -- Frequent Closed Subgraph Mining: A Multi-thread Approach -- 1 Introduction -- 2 Related Work -- 3 Definitions -- 4 Proposed Method -- 5 Experimental Results -- 6 Conclusion and Future Work -- References
References
ISBN:9783031217432
3031217438
ISSN:2945-9141 ;
Source of Description, Etc. Note:Online resource; title from PDF title page (SpringerLink, viewed January 3, 2023).