Author Description

Welcome to SDM 2010 -- The Tenth SIAM International Conference on Data Mining. SDM 2010 continues a series of conferences focusing on the theory and practice of data mining as applied to data sets in science, engineering, biomedicine, and the social sciences, among others. Following the tradition of past conferences, the main technical program is accompanied by a number of specialized workshops, minisymposia, tutorials, a plenary panel, and the doctoral forum. The keynote talks form the centerpiece of SDM 2010: Stephen Muggleton from the Imperial College, London, UK; Grace Wahba from the University of Wisconsin; Phillip Gibbons from Intel Research; and Vipin Kumar from the University of Minnesota will share their experience and vision with us. The conference also has a diverse and rich program; apart from our strong technical program of contributed papers, there is a rich set of integrated tutorials on a wide range of topics: outlier detection, mining sparse representations, ranking methods in machine learning, and supervised and unsupervised ensemble methods. The main program is also further complemented by a group of focused workshops and a minisymposium on current and emerging topics such as data mining for sustainable development, high-performance analytics, text mining, data mining for a smarter infrastructure, an invited workshop on clustering theory and applications, and a minisymposium on natural language-based data mining. Building on the success of last year's doctoral forum, SDM 2010 will see a continuation of this popular event, which will be held along with the plenary panel on the second day of the conference. We would like to thank the entire organizing committee for the excellent job they have done putting together a strong technical program. Special thanks go to the program co-chairs, Bart Goethals and Jian Pei. They recruited the area chairs and the program committee, guided the papers submitted through a rigorous and high-standard review process,