000			01688nam a2200325Ia 4500
000			04214nam a22003495i 4500
001			978-3-031-40177-0
003			DE-He213
005			20240319120941.0
007			cr nn 008mamaa
008			230729s2023 sz | s |||| 0|eng d
020			_a9783031401770 _9978-3-031-40177-0
082			_a6.3
245			_aCase-Based Reasoning Research and Development _cedited by Stewart Massie, Sutanu Chakraborti. _h[electronic resource] :
250			_a1st ed. 2023.
260			_aCham _bSpringer Nature Switzerland _c2023
300			_aXI, 426 p. 131 illus., 96 illus. in color. _bonline resource.
520			_aThis book constitutes the proceedings of the 31st International Conference on Case-Based Reasoning Research and Development, ICCBR 2023, which took place in Aberdeen, UK, in July 2023. The 26 full papers included in this book were carefully reviewed and selected from 79 submissions. The papers have been organized in topical sections as follows: CBR and deep learning; representation and similarity; CBR and explainable AI; case base maintenance; adaptation: techniques and application; and case-based applications.
650			_aArtificial intelligence. _933524
650			_aArtificial Intelligence. _933525
650			_aComputer Application in Administrative Data Processing. _933526
650			_aComputer Engineering and Networks. _933527
650			_aComputer engineering. _933528
650			_aComputer networks . _933529
650			_aInformation technology _933530
700			_aChakraborti, Sutanu. _933531
700			_aMassie, Stewart. _933532
856			_uhttps://doi.org/10.1007/978-3-031-40177-0
942			_cEBK _2ddc
999			_c15397 _d15397