Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal o...
Real-life data mining applications are interesting because they often present a different set of problems for data miners. One such real-life application that we have done is on t...
When data sets are analyzed, statistical pattern recognition is often used to find the information hidden in the data. Another approach to information discovery is data mining. Dat...
Abstract. In this paper, we propose a new ant-based clustering algorithm called AntClust. It is inspired from the chemical recognition system of ants. In this system, the continuou...
Consider a universe of tokens, each of which is associated with a weight, and a database consisting of strings that can be represented as subsets of these tokens. Given a query st...