Karnaugh Map Approach for Mining Frequent Termset from Uncertain Textual Data

In recent years, uncertain textual data has become ubiquitous because of latest technologies of data collect. As the existing technologies can only collect data in an imprecise way. So in the given paper, we propose frequent pattern mining technique for mining termsets from uncertain textual data. in the said technique, we have conducted a study on uncertain textual data with Karnaugh Map concept. In fact the contribution of given paper is three manifolds. Firstly, we review existing method of finding frequent termset form document data. Secondly a new method UTDKM (Uncertain Textual Data using Karnaugh Map) is proposed for finding frequent termset from uncertain textual data, and lastly, we carried experiments to evaluate the performance of proposed method. The experimental results demonstrate that UTDKM method is better for mining frequent termset in comparison to existing methods.