The computer revolution has paved the way to a search for techniques capable of dealing with the huge amount of data information around us in all branches of sciences, bringing new theoretical and computational challenges to exciting research areas ranging from web page clustering,  to computer vision, financial mathematics and bioinformatics, etc., to mention just a few.  The perceptron algorithm, support vector machines, margin classifiers, k-means clustering, EM-algorithm, are just few examples of the terminologies we often encounter in classification, clustering and machine learning problems. Optimization algorithms and techniques are often at the heart of such methodologies, and a variety of other properties leading to interpretation and computation of solutions rely on optimization techniques as well.

The scientific aim of this summer institute is seeking solutions to challenging data mining problems within the use and development of advanced / modern  mathematical optimization and statistics tools. The special structures often encountered  in data mining systems also provide motivation for further investigations on new optimization methods  and  algorithms capable of handling very large scale data, and hence this summer meeting will advance both areas.

Contributions on other topics of the continuous and discrete optimization theory, statistical learning and applications are also welcome.

EURO Summer and Winter Institutes (ESWI) are organized to stimulate good social and working links among promising young OR scientists in Europe. The participation is limited to a group of about 25. The participation is a matter of honor and a person can be a participant in an ESWI only once in her/his career.

Applicants should submit an unpublished paper in the range of the subjects of the Institute together with their curriculum vitae to their National OR Society. Each National Society of EURO will then select one (eventually two) candidate(s) and submit the information to the chairperson of ESI XXII. The Programme Committee will make the final choice of the participants.