In this paper we present an original framework to extract representative groups from a dataset, and we validate it over a novel case study. The framework specifies the application ...
Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
: Wireless sensor networks require energy efficient routing protocols owing to limited resource on the sensor node. In this paper, we develop optimal distance geographic routing (O...
Abstract—Key program interfaces are sometimes documented with usage examples: concrete code snippets that characterize common use cases for a particular data type. While such doc...
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...