Case-Based Reasoning Research and Development 27th International Conference, ICCBR 2019, Otzenhausen, Germany, September 8-12, 2019, Proceedings / [electronic resource] :
edited by Kerstin Bach, Cindy Marling.
- 1st ed. 2019.
- XXI, 405 p. 158 illus., 88 illus. in color. online resource.
- Lecture Notes in Artificial Intelligence, 11680 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 11680 .
Comparing Similarity Learning with Taxonomies and One-Mode Projection in Context of the FEATURE-TAK Framework -- An Algorithm Independent Case-Based Explanation Approach for Recommender Systems Using Interaction Graphs -- Explanation of Recommender Systems using Formal Concept Analysis -- FLEA-CBR
This book constitutes the refereed proceedings of the 27th International Conference on Case-Based Reasoning Research and Development, ICCBR 2019, held in Otzenhausen, Germany, in September 2019. The 26 full papers presented in this book were carefully reviewed and selected from 43 submissions. 15 were selected for oral presentation and 11 for poster presentation. The theme of ICCBR 2019, "Explainable AI (XAI)," was highlighted by several activities. These papers, which are included in the proceedings, address many themes related to the theory and application of case-based reasoning and its future direction.
9783030292492
10.1007/978-3-030-29249-2 doi
Artificial intelligence.
Information technology--Management.
Information storage and retrieval systems.
Data mining.
Artificial Intelligence.
Computer Application in Administrative Data Processing.
Information Storage and Retrieval.
Data Mining and Knowledge Discovery.
Q334-342 TA347.A78
006.3
Comparing Similarity Learning with Taxonomies and One-Mode Projection in Context of the FEATURE-TAK Framework -- An Algorithm Independent Case-Based Explanation Approach for Recommender Systems Using Interaction Graphs -- Explanation of Recommender Systems using Formal Concept Analysis -- FLEA-CBR
This book constitutes the refereed proceedings of the 27th International Conference on Case-Based Reasoning Research and Development, ICCBR 2019, held in Otzenhausen, Germany, in September 2019. The 26 full papers presented in this book were carefully reviewed and selected from 43 submissions. 15 were selected for oral presentation and 11 for poster presentation. The theme of ICCBR 2019, "Explainable AI (XAI)," was highlighted by several activities. These papers, which are included in the proceedings, address many themes related to the theory and application of case-based reasoning and its future direction.
9783030292492
10.1007/978-3-030-29249-2 doi
Artificial intelligence.
Information technology--Management.
Information storage and retrieval systems.
Data mining.
Artificial Intelligence.
Computer Application in Administrative Data Processing.
Information Storage and Retrieval.
Data Mining and Knowledge Discovery.
Q334-342 TA347.A78
006.3