• Ch.Supriya,
• Dr. R. Jegadeesan
• R.Rakesh
• Ch.LikithaReddy
• V.Rishwanth

Making good selections is that the key technology of this generation systems. We use downward closure property for the weighted frequent itemsets and therefore the existence property of weighted frequent subsets are introduced and proved initial. Based on these two properties, the Weight judgement Downward closure property primarily based Frequent Itemset Mining (WD-FIM) algorithm is planned to slender the looking house of weighted frequent itemsets and improve the time potency. Moreover, the completeness and time potency of WD- FIM algorithmic program square measure analyzed theoretically. Finally, the performance of the planned WD-FIM algorithmic program should be proved on each artificial and real-life datasets

EFFICIENT DECISION MAKING IN SMART SYSTEMS USING WEIGHTED FREQUENT ITEMSET MINING

"EFFICIENT DECISION MAKING IN SMART SYSTEMS USING WEIGHTED FREQUENT ITEMSET MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.684-693, April-2019, Available :http://www.jetir.org/papers/JETIRAU06106.pdf

"EFFICIENT DECISION MAKING IN SMART SYSTEMS USING WEIGHTED FREQUENT ITEMSET MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp684-693, April-2019, Available at : http://www.jetir.org/papers/JETIRAU06106.pdf