Update cookies preferences

Advances in Knowledge Discovery and Data Mining: 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 1013, 2025, Proceedings, Part I [Paperback / softback]

Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by
  • Format: Paperback / softback, 493 pages, height x width: 235x155 mm, 134 Illustrations, color; 5 Illustrations, black and white; XXX, 493 p. 139 illus., 134 illus. in color., 1 Paperback / softback
  • Series: Lecture Notes in Artificial Intelligence 15870
  • Pub. Date: 15-Jun-2025
  • Publisher: Springer Nature Switzerland AG
  • ISBN-10: 9819681693
  • ISBN-13: 9789819681693
  • Paperback / softback
  • Price: 78,34 €*
  • * the price is final i.e. no additional discount will apply
  • Regular price: 92,17 €
  • Save 15%
  • This book is not in stock. Book will arrive in about 2-4 weeks. Please allow another 2 weeks for shipping outside Estonia.
  • Quantity:
  • Add to basket
  • Delivery time 4-6 weeks
  • Add to Wishlist
  • Format: Paperback / softback, 493 pages, height x width: 235x155 mm, 134 Illustrations, color; 5 Illustrations, black and white; XXX, 493 p. 139 illus., 134 illus. in color., 1 Paperback / softback
  • Series: Lecture Notes in Artificial Intelligence 15870
  • Pub. Date: 15-Jun-2025
  • Publisher: Springer Nature Switzerland AG
  • ISBN-10: 9819681693
  • ISBN-13: 9789819681693
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 1013, 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.