Intelligent information and database systems : 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022 : proceedings. Part I / Ngoc-Thanh Nguyen, Tien Khoa Tran, Ualsher Tukayev, Tzung-Pei Hong, Bogdan Trawinski, Edward Szczerbicki (eds.).
Asian Conference on Intelligent Information and Database Systems (14th : 2022 : Ho Chi Minh City, Vietnam); Nguyen, Ngoc Thanh (Computer scientist), editor.; Trà̂n, Tié̂n Khoa, editor.; Tukayev, Ualsher, editor.; Hong, Tzung-Pei, 1963- editor.; Trawiński, Bogdan, editor.; Szczerbicki, Edward, editor.
2022
Q334
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Title
Intelligent information and database systems : 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022 : proceedings. Part I / Ngoc-Thanh Nguyen, Tien Khoa Tran, Ualsher Tukayev, Tzung-Pei Hong, Bogdan Trawinski, Edward Szczerbicki (eds.).
Meeting Name
ISBN
9783031217432 (electronic bk.)
3031217438 (electronic bk.)
303121742X
9783031217425
3031217438 (electronic bk.)
303121742X
9783031217425
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource (xxxiv, 720 pages) : illustrations (chiefly color).
Item Number
10.1007/978-3-031-21743-2 doi
Call Number
Q334
Dewey Decimal Classification
006.3
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.
Note
Selected conference papers.
Includes author index.
Includes author index.
Bibliography, etc. Note
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
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
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed January 3, 2023).
Added Author
Series
Lecture notes in computer science ; 13757.
Lecture notes in computer science. Lecture notes in artificial intelligence.
LNCS sublibrary. SL 7, Artificial intelligence.
Lecture notes in computer science. Lecture notes in artificial intelligence.
LNCS sublibrary. SL 7, Artificial intelligence.
Available in Other Form
Print version: 9783031217425
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Table of Contents
Advanced Data Mining Techniques and Applications
Decision Support and Control Systems
Deep Learning Models
Internet of Things and Sensor Networks
Natural Language Processing
Social Networks and Recommender Systems
Machine Learning and Data Mining
Computer Vision Techniques
Innovations in Intelligent Systems.
Decision Support and Control Systems
Deep Learning Models
Internet of Things and Sensor Networks
Natural Language Processing
Social Networks and Recommender Systems
Machine Learning and Data Mining
Computer Vision Techniques
Innovations in Intelligent Systems.