000			02041nam a2200409Ia 4500
000			02638nam a22004215i 4500
001			978-3-031-33377-4
003			DE-He213
005			20240319120913.0
007			cr nn 008mamaa
008			230527s2023 sz | s |||| 0|eng d
020			_a9783031333774 _9978-3-031-33377-4
082			_a6.3
245			_aAdvances in Knowledge Discovery and Data Mining _cedited by Hisashi Kashima, Tsuyoshi Ide, Wen-Chih Peng. _h[electronic resource] :
250			_a1st ed. 2023.
260			_aCham _bSpringer Nature Switzerland _c2023
300			_aXVII, 567 p. 129 illus., 112 illus. in color. _bonline resource.
520			_aThe 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.
650			_aAlgorithms. _932112
650			_aArtificial intelligence. _932113
650			_aArtificial Intelligence. _932114
650			_aComputer Engineering and Networks. _932115
650			_aComputer engineering. _932116
650			_aComputer networks . _932117
650			_aComputer science _932118
650			_aComputer vision. _932119
650			_aComputer Vision. _932120
650			_aComputers and Education. _932121
650			_aDesign and Analysis of Algorithms. _932122
650			_aEducation _932123
650			_aMathematics of Computing. _932124
700			_aIde, Tsuyoshi. _932125
700			_aKashima, Hisashi. _932126
700			_aPeng, Wen-Chih. _932127
856			_uhttps://doi.org/10.1007/978-3-031-33377-4
942			_cEBK _2ddc
999			_c15272 _d15272