Lecture Notes in Computer Science16995- Web and Big Data

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Bol The three-volume set LNCS constitutes the refereed proceedings of the 10th International Joint Conference on Web and Big Data, APWeb-WAIM 2026, held in Da Nang, Vietnam, during September 7-9, 2026. The 108 regular research papers, 24 special track papers, 1 industry paper, and 9 demo papers presented in these proceedings were carefully reviewed and selected from 309 submissions. The papers are organized in the following topical sections: Part I: Advanced Architectures, Database Engineering, Enterprise and Education Applications, Prediction, LLM and NLP, Recommendation Systems, Query Processing, Security and Privacy, Semantic Issues Part II: LLM and NLP, Recommendation Systems,Tree-enabled Processing, Community-based Issues, Knowledge Graphs, LLM and NLP, Neural Networks and Learning, Crowdsourcing, Time Series, Machine Learning Part III: Neural Networks and Learning, Traffic Management, Neural Networks and Learning, Trajectory Management, Video and Image Processing, Special Track, Special Track, Special Track, Special Track, Special and Industrial Tracks, Demo Track

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The three-volume set LNCS constitutes the refereed proceedings of the 10th International Joint Conference on Web and Big Data, APWeb-WAIM 2026, held in Da Nang, Vietnam, during September 7-9, 2026. The 108 regular research papers, 24 special track papers, 1 industry paper, and 9 demo papers presented in these proceedings were carefully reviewed and selected from 309 submissions. The papers are organized in the following topical sections: Part I: Advanced Architectures, Database Engineering, Enterprise and Education Applications, Prediction, LLM and NLP, Recommendation Systems, Query Processing, Security and Privacy, Semantic Issues Part II: LLM and NLP, Recommendation Systems,Tree-enabled Processing, Community-based Issues, Knowledge Graphs, LLM and NLP, Neural Networks and Learning, Crowdsourcing, Time Series, Machine Learning Part III: Neural Networks and Learning, Traffic Management, Neural Networks and Learning, Trajectory Management, Video and Image Processing, Special Track, Special Track, Special Track, Special Track, Special and Industrial Tracks, Demo Track


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