Existing research on mining quantitative databases mainly focuses on mining associations. However, mining associations is too expensive to be practical in many cases. In this pape...
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...
Local pattern mining algorithms generate sets of patterns, which are typically not directly useful and have to be further processed before actual application or interpretation. Ra...
Research communities are very important for researchers undertaking new research topics. In this paper, we propose a community mining system using bibliography data in order to ï¬...
The complex phenomena of political science are typically studied using qualitative approach, potentially supported by hypothesisdriven statistical analysis of some numerical data. ...