Title: On Models, Patterns, and Prediction

Speaker: Jaakko Hollmén

Abstract:
Pattern discovery has been the center of attention of data mining research for a long time, with patterns languages varying from simple to complex, according to the needs of the applications and the format of data.  In this talk, I will take a view on pattern mining that combines elements from neighboring areas.  More specifically, I will describe our previous research work in the intersection of the three areas: probabilistic modeling, pattern mining and predictive modeling. Clustering in the context of pattern mining will be explored, as well as linguistic summarization of patterns. Also, multiresolution pattern mining as well as semantic pattern discovery and pattern visualization will be visited. Time allowing, I will speak about patterns of missing data and it simplications on predictive modeling.  

Short Biography:
Jaakko Hollmén is faculty member at the Department of Computer Science at Aalto University in Espoo, Finland. He received his doctoral degree with distinction in 2000. His research interests include data analysis, machine learning and data mining, with applications in health and in environmental informatics.  He has chaired several conferences in his areas of interest, including IDA, DS, IEEE Computer-Based Medical Systems. Currently, he is co-chair of the Program Committee of ECML PKDD 2017, which is organized in Skopje, Macedonia during September 19-23, 2017. His publications can be found at: https://users.ics.aalto.fi/jhollmen/Publications/