About the Tutorial

In recent years it has been realized that many data mining and machine learning problems, especially unsupervised ones, can be formalized as discrete constraint satisfaction and optimization problems. This tutorial provides a detailed overview of the use of constraint solving technology, such as constraint programming and SAT solvers, to solve these problems.


The slides of the tutorial can be downloaded HERE. References are included in the slides!


Siegfried Nijssen

Siegfried Nijssen is assistant professor at the Université catholique de Louvain. Together with Tias Guns, he developed the CP4IM framework for mining itemsets using constraint programming. He published numerous other papers concerning the discovery of patterns in data and the use of declarative languages in data mining. He has published at KDD, ICDM, ECMLPKDD, ICML, IJCAI and ECAI, among others. He was program chair of ECMLPKDD in 2013, is senior PC member of KDD and ICDM, associate editor of the KAIS journal and editor for the DMKD and ML journals.

Tias Guns

Tias Guns is an Assistant Professor at the Vrije Universiteit Brussel (VUB) and a fellow at the DTAI lab of the KU Leuven. His research lies on the border between data mining and constraint programming, and his main interest is in combining methods from both fields. As part of his PhD, he has developed the CP4IM framework which showed for the first time the potential of using constraint programming for pattern mining. His PhD was awarded with both the constraint programming dissertation award and the ECCAI artificial intelligence dissertation award. He is an active member of the community and has organized a number of workshops and a special issue on the topic of combining constraint programming with machine learning and data mining. His PhD was supervised by Nijssen and Luc De Raedt.

Ian Davidson

Ian Davidson is Professor at the University of California, Davis. His research interests span adding constraints to data mining algorithms (constrained clustering), human-in-the-loop learning (active and transfer learning) and more recently formulating data mining problems in constraint programming languages. He has published approximately a dozen papers in AAAI/IJCAI including two on the topic of this tutorial (2016, 2017). He has been an area chair for all the leading data-mining conferences for the last five years and is on the editorial board of ACM Transactions of Data Mining, IEEE Transactions of Knowledge Data and Engineering and Springer's Journal of Data Mining. He has known Guns and Nijssen for over five years and have presented at various summer schools and conferences on the topic of the tutorial with them.