Trends and Applications in Knowledge Discovery and Data Mining
PAKDD 2026 Workshops and Doctoral Consortium, AI4DF, DMO-FinTech, RAFDA, AMI-PAKDD, EFMxDM and JEN-AI, Hong Kong, China, June 9-12,2026, Proceedings, Lecture Notes in Computer Science 16603 - Lecture Notes in Artificial Intelligence
Cheng Long/Jieming Shi/Yuxuan Liang et al
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Zusatztext
The LNAI 16603 constitutes the proceedings of the following workshops that were held in conjunction with the 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2026, held in Hong Kong, China, during June 9-12, 2026: Workshop on AI and Data Science for Digital Finance (AI4DF 2026): This workshop received 3 submissions and accepted 2 papers. 2 cameraready papers were finally received for publication. Workshop of Decision Making and Optimization in Financial Technologies (DMOFinTech 2026): This workshop received 10 submissions and accepted 5 papers. 5 cameraready papers were finally received for publication. Workshop on Research and Applications of Foundation Models for Data Mining and Affective Computing (RAFDA 2026): This workshop received 21 submissions and accepted 13 papers. 13 cameraready papers were finally received for publication.Workshop on Autonomous Machine Intelligence (AMIPAKDD 2026): This workshop received 23 submissions and accepted 9 papers. 9 cameraready papers were finally received for publication. Workshop on ResourceEfficient Foundation Models for LargeScale Data Mining (EFMxDM 2026): This workshop received 8 submissions and accepted 7 papers. 7 cameraready paper was finally received for publication. Workshop on Generative AI and Computational Journalism (JENAI 2026): This workshop received 8 submissions and accepted 5 papers. 3 cameraready papers were finally received for publication. Furthermore, we include 8 papers from the Doctoral Consortium in the Appendix of this proceeding.
Weitere Details
Erschienen: 03.08.2026
Umfang: ii, 463 S., 110 farbige Illustr., 463 p. 110 illus
Sprache: ENG
Einband: KT
ISBN/EAN: 9789819220137
Umbreit-Nr.: 1733670
