Intelligent information and database systems : 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, proceedings. Part II / Ngoc-Thanh Nguyen, Tran Luong Dieu Tra, Ualsher Tukayev, Tzung-Pei Hong, Bogdan Trawinski (eds.).
2022
Q334
Linked e-resources
Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Intelligent information and database systems : 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, proceedings. Part II / Ngoc-Thanh Nguyen, Tran Luong Dieu Tra, Ualsher Tukayev, Tzung-Pei Hong, Bogdan Trawinski (eds.).
Meeting Name
Asian Conference on Intelligent Information and Database Systems (14th : 2022 : Ho Chi Minh City, Vietnam)
ISBN
9783031219672 (electronic bk.)
3031219678 (electronic bk.)
9783031219665
303121966X
3031219678 (electronic bk.)
9783031219665
303121966X
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource (xxxiv, 736 pages) : illustrations (chiefly color).
Item Number
10.1007/978-3-031-21967-2 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 -- Covariance Controlled Bayesian Rose Trees -- 1 Introduction -- 2 Algorithm -- 2.1 Hierarchical Clustering -- 2.2 Bayesian Rose Trees -- 2.3 Constraining BRT Hierarchies -- 2.4 Parameterisation -- 2.5 Depth Level as a Function of the Likelihood -- 2.6 Hierarchy Outside of Defined Clusters -- 3 Method Comparison -- 4 Conclusions -- References -- Potential of Radiomics Features for Predicting Time to Metastasis in NSCLC -- 1 Background -- 2 Materials and Methods -- 2.1 Data -- 2.2 Radiomics Features -- 2.3 Data Pre-processing and Unsupervised Analysis
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Nguyen, Ngoc Thanh (Computer scientist), editor.
Dieu Tra, Tran Luong, editor.
Tukayev, Ualsher, editor.
Hong, Tzung-Pei, 1963- editor.
Trawiński, Bogdan, editor.
Dieu Tra, Tran Luong, editor.
Tukayev, Ualsher, editor.
Hong, Tzung-Pei, 1963- editor.
Trawiński, Bogdan, editor.
Series
Lecture notes in computer science ; 13758.
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
Intelligent information and database systems : Part II.
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
All Resources
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.