Advances in Knowledge Discovery and Data Mining
28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings, Part II
Seiten
2024
|
2024 ed.
Springer Verlag, Singapore
978-981-97-2252-5 (ISBN)
Springer Verlag, Singapore
978-981-97-2252-5 (ISBN)
The 6-volume set LNAI 14645-14650 constitutes the proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, which took place in Taipei, Taiwan, during May 7–10, 2024.
The 177 papers presented in these proceedings were carefully reviewed and selected from 720 submissions.
The 6-volume set LNAI 14645-14650 constitutes the proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, which took place in Taipei, Taiwan, during May 7–10, 2024.
The 177 papers presented in these proceedings were carefully reviewed and selected from 720 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.
The 177 papers presented in these proceedings were carefully reviewed and selected from 720 submissions.
The 6-volume set LNAI 14645-14650 constitutes the proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, which took place in Taipei, Taiwan, during May 7–10, 2024.
The 177 papers presented in these proceedings were carefully reviewed and selected from 720 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.
| Erscheinungsdatum | 25.04.2024 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | 138 Illustrations, color; 7 Illustrations, black and white |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Schulbuch / Wörterbuch ► Unterrichtsvorbereitung ► Unterrichts-Handreichungen |
| Informatik ► Datenbanken ► Data Warehouse / Data Mining | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Sozialwissenschaften ► Pädagogik | |
| Schlagworte | Artificial Intelligence • Data Mining • machine learning • probability and statistics • Security and Privacy • Web mining |
| ISBN-10 | 981-97-2252-7 / 9819722527 |
| ISBN-13 | 978-981-97-2252-5 / 9789819722525 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Ein verständlicher Einstieg mit Python
Buch | Softcover (2024)
O'Reilly (Verlag)
CHF 41,85
eine Einführung mit Python, Scikit-Learn und TensorFlow
Buch | Softcover (2024)
O'Reilly (Verlag)
CHF 27,85
