QIMIE 2013 - The 2013 International Workshop on Quality issues, measures of interestingness and evaluation of data mining models (QIMIE 2013)

There are a lot of data mining algorithms and methodologies for various fields and various problematic. Each data mining researcher/practitioner is faced with assessing the performance of his own solution(s) in order to make comparisons with state of the art approaches. He should also describe the intrinsic quality of the discovered patterns. Which methodology, which benchmarks, which measures of performance, which tools, which measures of interest, etc., should be used, and why? Every one should answer the previous questions, and assessing the quality and the performance is a critical issue.
The third Quality issues, measures of interestingness and evaluation of data mining models workshop (QIMIE'13) will focus on these questions and should be of great interest for a large panel of data miners. As a whole, QIMIE'13 intend to be a forum for a community-wide discussion of these issues and to contribute to a deep cross-fertilization within a large panel of researchers/practitioners attending PAKDD'13. Thus we strongly encourage interested peoples to propose topics and main themes that should be discussed within QIMIE'13.
Following QIMIE'09 (organized in conjunction with the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, April 2009, Bangkok, Thailand) and QIMIE'11 (organized in conjunction with the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, May 2011, Shenzen, China), the main themes of QIMIE'13 will focus on the theory, the techniques and the practices that can ensure the discovered knowledge is of quality. It will thus cover the problem of measuring quality of patterns, the evaluation of data mining models and the links between the discovery stage and the quality assessment stage.
QIMIE'13 is organized in association with the PAKDD'13 conference (17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Gold Coast, Australia, April 14-17, 2013), a major international conference in the areas of data mining and knowledge discovery.
Major topics will include but are not limited to the following:
objective measures of interest (for individual rules or rules basis, patterns, graph, data streams, clusters, etc.)
subjective measures of interest and quality based on human knowledge, quality of ontologies, actionable rules
algorithmic properties of measures of interest
comparison of algorithms: issues with benchmarks, experiments and parameters tuning questioning also reproducibility of data mining results, the need of new data sets which match new problems, methodologies, statistical tests, etc.
robustness evaluation and statistical evaluation
graphical tools like ROC, cost curves
special issues: imbalanced data, very large data set, very high dimensional data, changing environments, lack of training data, sample selection bias, graph data, etc.
special issues in specialized domains: bioinformatics, security, information retrieval, sequential and times series data, social networks, geo-localized data, etc.
etc.