In this research we focusing on mining approaches for text documents. Novel methods are developed for feature ranking, text classification, use of multi-classifier systems, the use of phrases for clustering documents, summarization, mining of text for picture contents and semantic and concept based text mining.
Relevant Recent Publications
Hammouda, K. and Kamel, M., "HP2PC: Scalable Hierarchically-Distributed Peer-to-Peer Clustering", 2007 SIAM International Conference on Data Mining (SDM07)
, Minneapolis, MN, April 2007.
Shehata, S., Karray, F., Kamel, M. "Enhancing Text Retrieval Performance Using Conceptual Ontological Graph" Workshop on Ontology Mining and Knowledge Discovery fro
m Semi-Structured Documents (MSD 2006), IEEE International Conference on Data Mining (ICDM), Hong Kong, China, December 18-22, 2006.