Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the other hand, lack an understanding of the practical issues of data-mining for real-world problems and often concentrate on issues that are of no significance to the practitioners. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research. A set of well respected data mining theoreticians were invited to present their views on the fundamental science of data mining. We have also called on researchers with practical data mining experiences to present new important data-mining topics.
This volume is a collection of expanded versions of selected papers originally presented at the second workshop on Foundations and New Directions of Data Mining (2003), and represents the state-of-the-art for much of the current research in data mining. The annual workshop, which started in 2002, is held in conjunction with the IEEE International Conference on Data Mining (ICDM). The goal is to enable individuals interested in the foundational aspects of data mining to exchange ideas with each other, as well as with more applicationoriented researchers. Following the success of the previous edition, we have combined some of the best papers presented at the second workshop in this book. Each paper has been carefully peer-reviewed again to ensure journal quality. The following is a brief summary of this volume’s contents.