Abstract- This paper considers the issue of determinizing probabilistic information to empower such information to be put awayin heritage frameworks that acknowledge just deterministic info. Probabilistic information might be produced via mechanizedinformation examination/improvement procedures, for example, substance goal, data extraction, and discourse preparing. Theheritage framework might relate to previous web applications like Flickr, Picasa, and so on The objective is to create adeterministic portrayal of probabilistic information that enhances the nature of the end-application based on deterministicinformation. We investigate such a determinization issue with regards to two unique information preparing assignments—triggers and choice inquiries. We show that approaches, for example, thresholding or top-1 choice customarily utilized fordeterminization lead to imperfect execution for such applications. All things considered, we foster a question mindfulmethodology and show its benefits over existing arrangements through a thorough experimental assessment over genuine andengineered datasets.Index Terms—Determinzation, uncertain data, data quality, query workload, branch and bound algorithm