Data Science: Foundations and Applications : 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part VI

Xintao Wu

ISBN 10: 9819682940 / ISBN 13: 9789819682942

Verlag: Springer Nature Singapore, Springer Nature Singapore, 2025

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - The two-volume set LNAI 15875 + 15876 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025 Special Session, held in Sydney, NSW, Australia, during June 10 13, 2025.The 68 full papers included in this set were carefully reviewed and selected from 696 submissions. They were organized in topical sections as follows: survey track; machine learning; trustworthiness; learning on complex data; graph mining; machine learning applications; representation learning; scientific/business data analysis; and special track on large language models.

Bestandsnummer des Verkäufers 9789819682942

Bibliografische Details

• Titel: Data Science: Foundations and Applications : 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part VI
• Verlag: Springer Nature Singapore, Springer Nature Singapore
• Erscheinungsjahr: 2025
• Sprache: Englisch
• ISBN-10: 9819682940
• ISBN-13: 9789819682942
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 235B x 155 H x 28 T Millimeter Breite: 235 mm, Höhe: 155 mm, Tiefe: 28 mm
• Gewicht: 756 Gramm

Über diesen Titel

Inhaltsangabe

The two-volume set LNAI 15875 + 15876 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025 Special Session, held in Sydney, NSW, Australia, during June 10–13, 2025.

The 68 full papers included in this set were carefully reviewed and selected from 696 submissions. They were organized in topical sections as follows: survey track; machine learning; trustworthiness; learning on complex data; graph mining; machine learning applications; representation learning; scientific/business data analysis; and special track on large language models.