Proficient Algorithms for Mining High Utility Itemset in One Phase utilizing Direct Discovery of High Utility Patterns refers to the disclosure of object/item sets with high utility. The situation may end up being more terrible when the database contains long high utility itemsets.The information of high utility itemsets is kept up in a tree-based data structure UP-Tree to such a degree, to the point that required itemsets can be created productivity with only two yields of database. The execution of existing algorithm issue all utilize a two-stage, applicant era approach with an exemption which is however neither efficient nor versatile in case of huge databases. This twostage approach experiences adaptability issue because of the enormous number of matching itemsets. This paper proposes a novel calculation that finds high utility examples in a solitary stage without creating candidates. Our straight information structure empowers us to process a tight technique for pruning and to specifically distinguish high utility examples in an efficient and versatile way, which focuses on the main driver with earlier technique. Test comes to conclusion that the proposed computations, especially Direct Discovery of High Utility Pattern reduce the amount of hopefuls satisfactorily and additionally beat diverse figuring extensively to the extent runtime, especially when databases contain clusters of long trades.