|
|
|
|
LEADER |
02229nmm a2200421 u 4500 |
001 |
EB002163283 |
003 |
EBX01000000000000001301062 |
005 |
00000000000000.0 |
007 |
cr||||||||||||||||||||| |
008 |
230601 ||| eng |
020 |
|
|
|a 9783031333835
|
100 |
1 |
|
|a Kashima, Hisashi
|e [editor]
|
245 |
0 |
0 |
|a Advances in Knowledge Discovery and Data Mining
|h Elektronische Ressource
|b 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023, Proceedings, Part IV
|c edited by Hisashi Kashima, Tsuyoshi Ide, Wen-Chih Peng
|
250 |
|
|
|a 1st ed. 2023
|
260 |
|
|
|a Cham
|b Springer Nature Switzerland
|c 2023, 2023
|
300 |
|
|
|a XII, 354 p. 132 illus., 82 illus. in color
|b online resource
|
653 |
|
|
|a Education / Data processing
|
653 |
|
|
|a Mathematics of Computing
|
653 |
|
|
|a Computer science / Mathematics
|
653 |
|
|
|a Computer vision
|
653 |
|
|
|a Artificial Intelligence
|
653 |
|
|
|a Algorithms
|
653 |
|
|
|a Computer Vision
|
653 |
|
|
|a Computers and Education
|
653 |
|
|
|a Computer networks
|
653 |
|
|
|a Computer Engineering and Networks
|
653 |
|
|
|a Design and Analysis of Algorithms
|
653 |
|
|
|a Artificial intelligence
|
653 |
|
|
|a Computer engineering
|
700 |
1 |
|
|a Ide, Tsuyoshi
|e [editor]
|
700 |
1 |
|
|a Peng, Wen-Chih
|e [editor]
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
490 |
0 |
|
|a Lecture Notes in Artificial Intelligence
|
028 |
5 |
0 |
|a 10.1007/978-3-031-33383-5
|
856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-031-33383-5?nosfx=y
|x Verlag
|3 Volltext
|
082 |
0 |
|
|a 006.3
|
520 |
|
|
|a 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
|