This paper studies the problem of categorical data clustering,
especially for transactional data characterized by high
dimensionality and large volu...
From helping to assess the value of new medical treatments to evaluating the
factors that affect our opinions and behaviors, analysts today are findi...
In this paper, we present LOADED, an algorithm for outlier
detection in evolving data sets containing both continuous
and categorical attributes. LO...
