Advances in Knowledge Discovery and Data Mining
27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023, Proceedings, Part II
Seiten
2023
|
1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-33376-7 (ISBN)
Springer International Publishing (Verlag)
978-3-031-33376-7 (ISBN)
The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25-28, 2023.
The 143 papers presented in these proceedings were carefully reviewed and selected from 813 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 143 papers presented in these proceedings were carefully reviewed and selected from 813 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 | 30.05.2023 |
---|---|
Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
Zusatzinfo | XVII, 567 p. 129 illus., 112 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 890 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Schlagworte | Artificial Intelligence • Bioinformatics • computational advertising • computer vision • Data Mining • machine learning • Natural Language Processing • probability and statistics • Security and Privacy • Web mining |
ISBN-10 | 3-031-33376-4 / 3031333764 |
ISBN-13 | 978-3-031-33376-7 / 9783031333767 |
Zustand | Neuware |
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