%0 Journal Article %A Faisal Alshuwaier and Ali Areshey %D 2015 %J International Journal of Computer and Information Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 97, 2015 %T Optimal Classifying and Extracting Fuzzy Relationship from Query Using Text Mining Techniques %U https://publications.waset.org/pdf/10000454 %V 97 %X Text mining techniques are generally applied for classifying the text, finding fuzzy relations and structures in data sets. This research provides plenty text mining capabilities. One common application is text classification and event extraction, which encompass deducing specific knowledge concerning incidents referred to in texts. The main contribution of this paper is the clarification of a concept graph generation mechanism, which is based on a text classification and optimal fuzzy relationship extraction. Furthermore, the work presented in this paper explains the application of fuzzy relationship extraction and branch and bound (BB) method to simplify the texts. %P 260 - 267