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Advances in Knowledge Discovery and Data Mining

Name: Advances in Knowledge Discovery and Data Mining
Brand: Springer, Berlin
SKU: 9789819681853
Price: 1717 CZK
Availability: InStock

29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part V

Autor: Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele

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The five-volume set, LNAI 158710 - 15874 constitutes the proceedings of the 29th Pacific-Asia Confer...

Informace o knize

Autor

Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2025

Stránek

350

EAN

9789819681853

Enbook ID

48688727

Vydavatel

Springer, Berlin

Hmotnost

485

Rozměry

155 x 235

Kompletní popis

The five-volume set, LNAI 158710 - 15874 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, held in Sydney, New South Wales, Australia, during June 10 13, 2025.

The conference received a total of 557 submissions to the main track, 35 submissions to the survey track and 104 submittion to the special track on LLMs. Of these, 134 papers have been accepted for the main track, 10 for the survey track and 24 for the LLM track. 68 papers have been transferred to the4 DSFA special session.

The papers have been organized in topical sections as follows:

Part I: Anomaly Detection; Business Data Analysis; Clustering; Continual Learning; Contrastive Learning; Data Processing for Learning;

Part II: Fairness and Interpretability; Federated Learning; Graph Mining and GNN; Learning on Scientific Data;

Part III: Machine Learning; Multi-modality; OOD and Optimization; Recommender Systems; Representation Learning and Generative AI;

Part IV: Security and Privacy; Temporal Learning; Survey;

Part V: LLM Fine-tuning and Prompt Engineering; Fairness and Interpretability of LLMs; LLM Application; OOD and Optimization of LLMs.

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Advances in Knowledge Discovery and Data Mining

29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part V

Informace o knize

Kompletní popis

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