Advances in Knowledge Discovery and Data Mining

CHF 115.20
Auf Lager
SKU
4ABJV10A1IK
Stock 1 Verfügbar
Geliefert zwischen Di., 25.11.2025 und Mi., 26.11.2025

Details

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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09789819681723
    • Genre Information Technology
    • Editor Xintao Wu, Myra Spiliopoulou, Can Wang, Zhangkai Wu, Longbing Cao, Yanqiu Wu, Yu Yao, Vipin Kumar
    • Lesemotiv Verstehen
    • Anzahl Seiten 528
    • Größe H235mm x B155mm x T29mm
    • Jahr 2025
    • EAN 9789819681723
    • Format Kartonierter Einband
    • ISBN 9819681723
    • Veröffentlichung 18.06.2025
    • Titel Advances in Knowledge Discovery and Data Mining
    • Untertitel 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part II
    • Gewicht 791g
    • Herausgeber Springer Nature Singapore
    • Sprache Englisch

Bewertungen

Schreiben Sie eine Bewertung
Nur registrierte Benutzer können Bewertungen schreiben. Bitte loggen Sie sich ein oder erstellen Sie ein Konto.
Made with ♥ in Switzerland | ©2025 Avento by Gametime AG
Gametime AG | Hohlstrasse 216 | 8004 Zürich | Schweiz | UID: CHE-112.967.470