Lossless Representation of High Utility Itemset Using APRIORI Algorithm

Journal Title: GRD Journal for Engineering - Year 2016, Vol 1, Issue 0

Abstract

Mining High Utility Item set (HUIs) becomes an important data mining task. Too many HUIs may degrade the level of performance. To achieve high efficiency of mining task apriori algorithm is used. In this method a refined database is made that makes the search easier. This in-turn serves to be a compact and lossless representation of HUIs.

Authors and Affiliations

S. Rashmi, A. Selvaraj, K. Pavithra

Keywords

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  • EP ID EP303010
  • DOI -
  • Views 95
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How To Cite

S. Rashmi, A. Selvaraj, K. Pavithra (2016). Lossless Representation of High Utility Itemset Using APRIORI Algorithm. GRD Journal for Engineering, 1(0), 208-211. https://europub.co.uk/articles/-A-303010