Muutke küpsiste eelistusi

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

Edited by , Edited by
  • Formaat: Paperback / softback, 315 pages, kõrgus x laius: 235x155 mm, 123 Illustrations, color; 15 Illustrations, black and white; XIX, 315 p. 138 illus., 123 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2356
  • Ilmumisaeg: 26-Aug-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819671744
  • ISBN-13: 9789819671748
  • Pehme köide
  • Hind: 141,35 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 166,29 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Paperback / softback, 315 pages, kõrgus x laius: 235x155 mm, 123 Illustrations, color; 15 Illustrations, black and white; XIX, 315 p. 138 illus., 123 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2356
  • Ilmumisaeg: 26-Aug-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819671744
  • ISBN-13: 9789819671748
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.
.- Machine Learning Methods.


.- Firework Swarm Learning (FSL): A Universal Machine Learning Framework.


.- AdaBoost Integration Framework Based on Multiple Filters.


.- Privacy-Preserving Federated Learning Scheme for Power Loads Forecasting.


.- From Big Data to Smart Data: Effective Subset Generation for Machine
Learning Model Training.


.- RAGtag: A Retrieval-Augmented Generation-Based Topic Modeling Framework.


.- A Geographical Location Mining Model for Users on Social Media Platforms.


.- Granular-ball Computing based Fireworks Algorithm for Global Optimization
of Multi-modal Functions.


.- Probabilistic -greedy Strategy for Exploitation in Homogeneous
Multi-agent Reinforcement Learning.


.- Enterprise Credit Risk Assessment Based on Rotate Forest Feature
Transformation and Heterogeneous Ensemble Learning.


.- Data Mining Methods.


.- A Neural Network Approach for Predicting Crop Import Prices: A Case Study
of Qatar.


.- Global and Local Enhanced Crow Search Algorithm for Weapon Target
Assignment.


.- Optimization Algorithm of Corpse Combustion Process Based on Improved
Genetic Algorithm.


.- Contextual State Pattern Determination-Based Heuristic Program Synthesis.


.- Iteratively Measuring Capital Liberalization in Stationary State on
PageRank.


.- Trends and Developments in Online Education Research from a Highly Cited
Literature Perspective: A Bibliometric and Visualization Analysis.


.- The Multifaceted Impacts of Government Policy on Pharma Firms Based on
Forecasting: Insights from a Case Study on Centralized Drug Procurement in
China.


.- Meta-Analysis of Correlations between Software Engineering Metrics The
case of Java.


.- Detection Methods.


.- Distribution Adaptive-based Defect Detection Prior to Ship Hull Welding.


.- Small Object Detection Algorithm in Aerial Images Based on Multi-Level
Feature Fusion.


.- Attention-based Early and Late Fusion of Audio Visual for Deepfake
Detection.


.- A Graph Neural Network Approach for Early Plant Disease Detection.


.- Wildfire Smoke Detection based on Motion Aware and Feature Enhancement.


.- Underwater Multi-objective Detection by Using Swin Transformer Based YOLO
Network.


.- Comparative Analysis of YOLOv8 and DeepLabv3+ on WildScenes Dataset:
Evaluating mIoU Performance.


.- UNet++ cell segmentation and counting algorithm based on morphology and
convex hull defect detection.