Integrated Uncertainty in Knowledge Modelling and Decision Making  10th International Symposium, IUKM 2023, Kanazawa, Japan, November 2-4, 2023, Proceedings, Part II /  [electronic resource] : 
edited by Katsuhiro Honda, Bac Le, Van-Nam Huynh, Masahiro Inuiguchi, Youji Kohda. 
 - 1st ed. 2023. 
 - XVII, 375 p. 104 illus., 63 illus. in color.  online resource. 
 - Lecture Notes in Artificial Intelligence,  14376  2945-9141 ; .
 - Lecture Notes in Artificial Intelligence,  14376 .
<br/><br/>Machine Learning -- Pattern Classification and Data Analysis -- Security and Privacy in Machine Learning. 
<br/><br/> These two volumes constitute the proceedings of the 10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023, held in Kanazawa, Japan, during November 2-4, 2023. The 58 full papers presented were carefully reviewed and selected from 107 submissions. The papers deal with all aspects of research results, ideas, and experiences of application among researchers and practitioners involved with all aspects of uncertainty modelling and management. 
<br/><br/><label>ISBN: </label>9783031467813 
<br/><br/><label>Standard No.: </label>10.1007/978-3-031-46781-3  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial intelligence.<br/>Computer science--Mathematics.<br/>Database management.<br/>Algorithms.<br/>Artificial Intelligence.<br/>Mathematics of Computing.<br/>Database Management System.<br/>Design and Analysis of Algorithms.
<br/><br/><label>LC Class. No.: </label>Q334-342 TA347.A78 
<br/><br/><label>Dewey Class. No.: </label>006.3