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
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Sprache:Englisch
95,99 €
UVP
107,79 €
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Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
14.07.2026
Abbildungen
LXI, 491 p. 121 illus., 110 illus. in color.
Herausgeber
Cheng Long + weitereVerlag
Springer SingaporeSeitenzahl
491
Maße (L/B/H)
23,5/15,5/3 cm
Gewicht
832 g
Sprache
Englisch
ISBN
978-981-9220-13-7
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 camera-ready papers were finally received for publication.
- Workshop of Decision Making and Optimization in Financial Technologies (DMO-FinTech 2026): This workshop received 10 submissions and accepted 5 papers. 5 camera-ready 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 camera-ready papers were finally received for publication.-Workshop on Autonomous Machine Intelligence (AMI-PAKDD 2026): This workshop received 23 submissions and accepted 9 papers. 9 camera-ready papers were finally received for publication.
- Workshop on Resource-Efficient Foundation Models for Large-Scale Data Mining (EFMxDM 2026): This workshop received 8 submissions and accepted 7 papers. 7 camera-ready paper was finally received for publication.
-Workshop on Generative AI and Computational Journalism (JEN-AI 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.
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