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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 VII /

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 selec...

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Détails bibliographiques
Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Wu, Xintao (Éditeur intellectuel), Spiliopoulou, Myra (Éditeur intellectuel), Wang, Can (Éditeur intellectuel), Kumar, Vipin (Éditeur intellectuel), Cao, Longbing (Éditeur intellectuel), Zhou, Xiangmin (Éditeur intellectuel), Pang, Guansong (Éditeur intellectuel), Gama, Joao (Éditeur intellectuel)
Format: Électronique eBook
Langue:anglais
Publié: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Édition:1st ed. 2025.
Collection:Lecture Notes in Artificial Intelligence, 15876
Sujets:
Artificial intelligence.
Algorithms.
Education > Data processing.
Computer science > Mathematics.
Signal processing.
Computer networks .
Artificial Intelligence.
Design and Analysis of Algorithms.
Computers and Education.
Mathematics of Computing.
Signal, Speech and Image Processing.
Computer Communication Networks.
Accès en ligne:https://doi.org/10.1007/978-981-96-8298-0
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Résumé: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.
Description matérielle:XXX, 441 p. 135 illus., 122 illus. in color. online resource.
ISBN:9789819682980
ISSN:2945-9141 ;
DOI:10.1007/978-981-96-8298-0

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