An Effective Algorithm for Mining Unstructured Patterns in High Dimensional Datasets

Abstract

Data mining is the prevalent region of the analysiswhichencMyages the business development process, for example, mining client preference, mining Ib data's to get sentiment about the item or services and mining the competitors of a particular business. In the current business situation, there is a need to examine the focused competitive features and factors of aitem that most influence its competitiveness. The assessment of competitiveness dependably utilizes the client sentiments as far as reviews, ratings and abundantsMyce of data's from the Ib and different sMyces. In this project, a formal meaning of the competitive mining is describes with its related works. I introduce proficient techniques for evaluating competitiveness in expansive review datasets and address the common issue of finding the top k competitors of a given item. Finallythe paper gives the difficulties and significance in the competitor mining works with ideal improvements.