Mini track: 'data and process mining'
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Abstract
The minitrack covers the broad theory and application issues related to data mining, machine learning, knowledge acquisition, knowledge discovery, information retrieval, data base, and inductive decision-making. Both structured and unstructured data repositories including human expert decisions, environmental/normative datasets, large document collections, and web databases are considered. Theoretical and methodological exploration in the previous years motivates us to further investigate the various and richer data and knowledge representation schemes such as Web, multimedia, and geographic data applied to science as well as management domains The minitrack is organized within the Decision Technologies for Management track. Papers submitted to this track were reviewed for their content and appropriateness to this minitrack by researchers from around the world working in the general area of data and/or process mining. In total, seven papers were accepted for presentation at the conference and publication in the proceedings. These papers reflect a variety of issues and perspectives in this emerging space. In their paper, Landauer and Bellman describe continual contemplation and its use in a wrapping-based system that engenders higher-level models of its own behavior. They show how wrappings and problem posing interpretations of programming languages lead to building systems that have complete low-level models of their own behavior. Fan and Biagiono present an approach to process and