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 IV /  [electronic resource] : 
edited by Hisashi Kashima, Tsuyoshi Ide, Wen-Chih Peng. 
 - 1st ed. 2023. 
 - XII, 354 p. 132 illus., 82 illus. in color.  online resource. 
 - Lecture Notes in Artificial Intelligence,  13938  2945-9141 ; .
 - Lecture Notes in Artificial Intelligence,  13938 .
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783031333835 
<br/><br/><label>Standard No.: </label>10.1007/978-3-031-33383-5  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial intelligence.<br/>Algorithms.<br/>Education--Data processing.<br/>Computer science--Mathematics.<br/>Computer vision.<br/>Computer engineering.<br/>Computer networks .<br/>Artificial Intelligence.<br/>Design and Analysis of Algorithms.<br/>Computers and Education.<br/>Mathematics of Computing.<br/>Computer Vision.<br/>Computer Engineering and Networks.
<br/><br/><label>LC Class. No.: </label>Q334-342 TA347.A78 
<br/><br/><label>Dewey Class. No.: </label>006.3