• Miss.Gauri Mathad
• Prof.Mrs.Deepti Nirwal

The extraction of High Utility Item sets (HUI) is the popular problem of data mining.We can say that HUI mining is basically a branch or an extension of frequent pattern mining. As we are already aware of frequent pattern mining and its applications we might further proceed to finding not only frequently purchased materials but also profit gained from these materials.To store the HUI here UP Growth algorithm[9] is used. TKO (Top k in one phase ) and TKU algorithms(Top k in Utility phase )[1] are used to acomplish the task of HUI mining. Here the framework is implemented using TKU and TKO so as to reduce the time and space complexity of HUI mining task . It is useful in the applications like online shopping , etc. It is mostly used in analysis of the market basket, where if the customer buys the item the system suggests him other similar items so that he can buy them so as to maximize the benefit for both the customer and supplier.

Utility mining, highly profitable itemsets , top k Pattern mining, top k high utility itemset set mining.

"Implementation and Comparison of Efficient Algorithms for Extraction of Highly Profitable Item sets from Dense Datasets", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.259-263, June 2019, Available :http://www.jetir.org/papers/JETIR1906K28.pdf

"Implementation and Comparison of Efficient Algorithms for Extraction of Highly Profitable Item sets from Dense Datasets", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp259-263, June 2019, Available at : http://www.jetir.org/papers/JETIR1906K28.pdf