Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This ...
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Abstract Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organiza...
The volume of information in natural languages in electronic format is increasing exponentially. The demographics of users of information management systems are becoming increasin...
Recent advances in technology have made tremendous amount of multimedia information available to the general population. An efficient way of dealing with this new development is t...