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@article{148315,
        author = {Ankit Redwal and Dr. Amit Khare and Prof. Rahul Moriwal},
        title = {A Technique for mining high utility items from a transaction data base},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {6},
        number = {1},
        pages = {236-239},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=148315},
        abstract = {Information Mining, additionally called learning Discovery in Database, is one of the most recent research territory, which has risen in light of the Tsunami information or the surge of information, world is confronting these days. It has responded to the call to create strategies that can assist people with discovering helpful patterns	in enormous information. One such significant system is utility mining. This paper will show a refreshed procedure for mining high utility things from an exchange informational collection. It will utilize the idea of hash map office. The information demolition will likewise be performed.},
        keywords = {Data Mining, KDD Process, High Utility Mining, Minimum Utility, Hash Map, Data Destruction.},
        month = {},
        }