In this paper, the rare event detection issue in video event detection is addressed through the proposed data mining framework which can be generalized to be domain independent. T...
We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
Privacy Preserving Data Mining (PPDM) has become a popular topic in the research community. How to strike a balance between privacy protection and knowledge discovery in the shari...
Hearing people argue opposing sides of an issue can be a useful way to understand the topic; however, these debates or conversations often don't exist. Unfortunately, generat...
Nathan D. Nichols, Lisa M. Gandy, Kristian J. Hamm...