Data Mining and Big Data 9th International Conference, DMBD 2024, Ho Chi Minh City, Vietnam, December 13–17, 2024, Proceedings, Part I /
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...
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| Daljnji autori: | , |
| Format: | Elektronički e-knjiga |
| Jezik: | engleski |
| Izdano: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
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| Izdanje: | 1st ed. 2025. |
| Serija: | Communications in Computer and Information Science,
2356 |
| Teme: | |
| Online pristup: | https://doi.org/10.1007/978-981-96-7175-5 |
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| 245 | 1 | 0 | |a Data Mining and Big Data |h [electronic resource] : |b 9th International Conference, DMBD 2024, Ho Chi Minh City, Vietnam, December 13–17, 2024, Proceedings, Part I / |c edited by Ying Tan, Yuhui Shi. |
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| 505 | 0 | |a -- 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. | |
| 520 | |a 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. | ||
| 532 | 8 | |a Accessibility summary: This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. Please note that a more accessible version of this eBook is available as ePub. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 650 | 0 | |a Application software. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Image processing |x Digital techniques. | |
| 650 | 0 | |a Computer vision. | |
| 650 | 1 | 4 | |a Computer and Information Systems Applications. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Computer Imaging, Vision, Pattern Recognition and Graphics. |
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