Call for Papers

The Quality issues, measures of interestingness and evaluation of data mining models Workshop (QIMIE’11) will focus on the theory, the techniques and the practices that can ensure the discovered knowledge is of quality.

We invite submissions on all aspects of quality and evaluation of data mining models.

The submitted papers must not be published or under consideration to be published elsewhere. Each paper will be reviewed by at least two members of the Program Committee. Each paper should consist of a cover page with title, authors’ names, postal and email address, an up to 200-words abstract, up to 5 keywords and a body not longer than 12 single-spaced pages with font size at least 11 pts. Authors are strongly encouraged to use Springer’s manuscript submission guidelines.

Outstanding papers presented at QMIE’11 could be considered for publication in a LNCS/LNAI Post Proceedings of PAKDD Workshops published by Springer (see for example PAKDD 2009 Revised Selected Papers) or in a post-workshop journal special issues. Information about these possibilities will be provided as soon as possible.

Areas of interest include, but are not limited to:

• objective measures of interest
  • subjective measures of interest and quality based on human knowledge, quality of ontologies, actionable rules
  • algorithmic properties of measures of interest
  • comparison of algorithm: 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: bio-informatics, security, information retrieval, sequential and time series data, social networks, etc.

As a whole, QIMIE’11 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’11. Thus we strongly encourage interested peoples to propose topics and main themes that should be discussed within QIMIE’11.

For that purpose a blog to discuss about quality issues, measures of interestingness and evaluation of data mining models has been launched: http://quality-evaluation-data-mining-models.blogspot.com/