Trends and Applications in Knowledge Discovery and Data Mining

PAKDD 2024 Workshops, RAFDA and IWTA, Taipei, Taiwan, May 7–10, 2024, Proceedings

Zhaoxia Wang, Chang Wei Tan (Herausgeber)

Buch | Softcover

175 Seiten

2024
Springer Nature (Verlag)
978-981-97-2649-3 (ISBN)

Infos

This book constitutes the workshops that have been held in conjunction with the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan, during May 25–28, 2023.



For RAFDA 2024, Workshop on Research and Applications of Foundation Models for Data Mining and Affective Computing, 15 submissions have been received and 9 full papers have been accepted for publication. For IWTA 2024, International Workshop on Temporal Analytics, 4 full papers have been accepted from a total of 6 submissions. 

Produkt-Details

• Erscheinungsdatum: 28.04.2024
• Reihe/Serie: Lecture Notes in Artificial Intelligence
• Reihe/Serie: Lecture Notes in Computer Science
• Zusatzinfo: 52 Illustrations, color; 11 Illustrations, black and white; XIV, 175 p. 63 illus., 52 illus. in color.
• Sprache: englisch
• Maße: 155 x 235 mm
• Themenwelt: Informatik ► Datenbanken ► Data Warehouse / Data Mining
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Schlagworte: algorithms and mathematics • Artificial Intelligence • computational theory • computer vision • cross-computing tools and techniques • Data Mining • Data Science • Deep learning • information systems • machine learning • multi-task learning • Natural Language Processing • Neural networks • supervised learning • Time Series • time series analytics • time series classification • Time Series Forecasting • Unsupervised Learning
• ISBN-10: 981-97-2649-2 / 9819726492
• ISBN-13: 978-981-97-2649-3 / 9789819726493
• Zustand: Neuware