Tutorial Case-Based Reasoning (http://www.data-mining-forum.de/t_cbr.php)

July 18, 2020, New York / USA

Prof. Dr. Petra Perner

CBR solves problems using the already stored knowledge, and captures new knowledge, making it immediately available for solving the next problem. Therefore, case-based reasoning can be seen as a method for problem solving, and also as a method to capture new experience and make it immediately available for problem solving. It can be seen as a learning and knowledge-discovery approach, since it can capture from new experience some general knowledge, such as case classes, prototypes and some higher-level concept. The idea of case-based reasoning originally came from the cognitive science community which discovered that people are rather reasoning on formerly successfully solved cases than on general rules. The case-based reasoning community aims to develop computer models that follow this cognitive process. For many application areas computer models have been successfully developed, which were based on CBR, such as signal/image processing and interpretation tasks, help-desk applications, medical applications and E-commerce product-selling systems. In the tutorial we will explain the case-based reasoning process scheme. We will show what kind of methods are necessary to provide all the functions for such a computer model. We will develop the bridge between CBR and other disciplines. Examples will be given based on signal-interpreting applications and information management.

Participants will receive a stampend and signed certificate by IBaI for their participation in the tutorial and the tutorial material.

Program

Tutorial starts at 9:00 am and ends at 4:00 pm.

• Introduction to CBR
• Similarity
• Memory Organization
• Case Mining
• CBR in Information Management/Signal Processing
• End of Tutorial