Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track
Springer International Publishing (Verlag)
9783031703775 (ISBN)
This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, Lithuania, in September 2024.
The papers presented in these proceedings are from the following three conference tracks: -
Research Track: The 202 full papers presented here, from this track, were carefully reviewed and selected from 826 submissions. These papers are present in the following volumes: Part I, II, III, IV, V, VI, VII, VIII.
Demo Track: The 14 papers presented here, from this track, were selected from 30 submissions. These papers are present in the following volume: Part VIII.
Applied Data Science Track: The 56 full papers presented here, from this track, were carefully reviewed and selected from 224 submissions. These papers are present in the following volumes: Part IX and Part X.
| Erscheinungsdatum | 03.09.2024 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | LVII, 470 p. 154 illus., 139 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | Artificial Intelligence • Computer Hardware • Computer Networks • Computer Security • Computer systems • computer vision • Databases • Education • Engineering • Human-Computer Interaction (HCI) • Image Processing • Information Retrieval • Internet • learning • machine learning • Mathematics • Network Protocols • Neural networks • sensors • Signal Processing |
| ISBN-13 | 9783031703775 / 9783031703775 |
| Zustand | Neuware |
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