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Data Mining and Big Data: 9th International Conference, DMBD 2024, Ho Chi Minh City, Vietnam, December 1317, 2024, Proceedings, Part II [Pehme köide]

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  • Formaat: Paperback / softback, 267 pages, kõrgus x laius: 235x155 mm, 73 Illustrations, color; 33 Illustrations, black and white; XIX, 267 p. 106 illus., 73 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2357
  • Ilmumisaeg: 26-Aug-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819671779
  • ISBN-13: 9789819671779
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Data Mining and Big Data: 9th International Conference, DMBD 2024, Ho Chi Minh City, Vietnam, December 1317, 2024, Proceedings, Part IISuurem pilt
  • Formaat: Paperback / softback, 267 pages, kõrgus x laius: 235x155 mm, 73 Illustrations, color; 33 Illustrations, black and white; XIX, 267 p. 106 illus., 73 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2357
  • Ilmumisaeg: 26-Aug-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819671779
  • ISBN-13: 9789819671779
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9789819671779.html
Märksõnad:
This two-volume set, CCIS 2356 and CCIS 2357, constitutes the refereed proceedings of the 9th International Conference on Data Mining and Big Data, DMBD 2024, held in Ho Chi Minh City, Vietnam, in December 2024.



The 46 full papers presented in these volumes were carefully reviewed and selected from 93 submissions. They are organized under the following topical sections: 



Part I : Machine Learning Methods; Data Mining Methods; Detection Methods.



Part II : Clustering Methods; Knowledge Graph; UAV Applications; Large Languange Models and Applications; Multi-Criterion Models and Applications.
.- Clustering Methods.


.- Data-Driven Open Finance: A Novel Architecture for Financial Inclusion in
Developing Countries.


.- Stock Trend Prediction Based on Complex Network and Sentiment Analysis.


.- Three-way Clustering Based on Improved DPC Algorithm.


.- An Effective Parameter Tuning Technique for Plain and Scalable Spectral
Clustering Methods.


.- Randomly Synergistic Data Augmentation Based Convolutional Neural Networks
for Chinese Herbal Medicine Recognition.


.- Classification of Agricultural Data using MultiLayer Extreme Learning
Machine with Fuzzy Kernel Function.


.- Knowledge Graph.


.- Med-RAIK: Interpretable Medication Recommendation Model Augmented by
Integrating Knowledge Graph.


.- Research on the Implementation Mechanism of Dynamic Ontology in Knowledge
Graph.


.- QuatRE: Knowledge Graph Embeddings via Relation Rotation in Quaternion
Space.


.- Research on the Architecture of Software-Defined Decision-Making Operating
System Based on Dynamic Ontology.


.- Decomposition and Generation Method of Task Data Requirement List Based on
Graph Model.


.- UAV Applications.


.- Adaptive Dynamic Multi-Objective Trajectory Optimization for UAV-enabled
Wireless Powered Communication Networks.


.- Improved DETR for Pedestrian Detection from the perspective of UAV.


.- A Gaussian Function-Based Masking Method for UAV Target Tracking.


.- Large Languange Models and Applications.


.- Domain-Specific Information Extraction in Chinese with Pre-Trained
Language Models: An Exploration Report.


.- Large Language Model-based Automatic Generation Method for Test Cases
Across Multiple Programming Language Types.


.- Distractor Generation for Multiple-Choice Question Using Existing
Distractor.


.- Short Text Topic Modeling with Vector Quantization.


.- Multi-Criterion Models and Applications.


.- Controlled Causal Hallucinations Can Estimate Phantom Nodes in Multiexpert
Mixtures of Fuzzy Cognitive Maps.


.- Enhanced Image Captioning Model Using Winograd Convolution and
Multi-objective Bayesian Optimization.


.- Hybridizing Earthquake Dynamics-based Optimization with Multiple
Adaptative Differential Evolution: Towards a Faster Convergence Metaheuristic.