The three approaches for data mining Test Theory (TT), Rough Sets (RS) and Logical Analysis of Data (LAD) originated in USSR (Sergei V. Yablonskii, 1955), Poland (Zdzisław I. Pawlak, 1981) and United States (Peter L. Hammer, 1986), respectively.

While each of these approaches lead to numerous interesting theoretical results and real-life applications in many different domains their relationships are not well explored yet. The approaches have much in common. For example, they are all related to Boolean functions and Boolean reasoning with the roots in works by George Boole. On the other hand, each of the approaches shows some originality.

The idea of the workshop was born during the work on a book “Three Approaches to Data Analysis” by Igor Chikalov, Vadim Lozin, Irina Lozina, Mikhail Moshkov, Hung Son Nguyen, Andrzej Skowron and Beata Zielosko. The book will be soon published by Springer.

The aim of the workshop is to gather top specialists in all three areas for discussion on the main achievements in TT, RS and LAD as well as on relationships between them. We expect that the workshop will stimulate research on new data mining methods based on combination of TT, RS and LAD. Such methods should be, in particular scalable for large data sets and domain knowledge as well as should allow us to perform data analysis in dynamically changing networks of information sources interacting with their environments. The discussion during the workshop will also concentrate on possible projects related to challenging real-life applications which could be lunched on the basis of such new methods.

Program Committee:

Technical Organizing Committee:

Workshop Agenda