Anthony Tung – författare

This proceedings constitutes selected papers from the Workshops KGMA, SemiBDMA, MADM, AIEDM and STBDM which were held in conjunction with APWeb-WAIM 2024 which took place in Jinhua, China, August 30–September 1, 2024. The 28 full papers presented were carefully reviewed and selected from 49 submissions.

The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30–September 1, 2024.The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions.The papers are organized in the following topical sections:Part I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System.Part II: Recommender System, Knowledge Graph and Spatial and Temporal Data.Part III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization.Part IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and SecurityPart V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.

The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30–September 1, 2024.The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions.The papers are organized in the following topical sections:Part I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System.Part II: Recommender System, Knowledge Graph and Spatial and Temporal Data.Part III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization.Part IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and SecurityPart V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.

The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30–September 1, 2024.The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions.The papers are organized in the following topical sections:Part I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System.Part II: Recommender System, Knowledge Graph and Spatial and Temporal Data.Part III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization.Part IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and SecurityPart V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.

The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed conference proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30–September 1, 2024.The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions.The papers are organized in the following topical sections:Volume I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System.Volume II: Recommender System, Knowledge Graph and Spatial and Temporal Data.Volume III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization.Volume IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and SecurityVolume V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.