• S. RAMESH
• N. Jayaveeran

Abstract: This paper is Efficient Closed Frequent Sequence Pattern Mining using Binary Representation with Same Support Threshold Value (ECloSPAM). The objective of this research paper is to find the closed frequent item sets from massive sequence database. The ECloSPAM discovers less numbers of closed patterns in sequence databases. The experimental assessment is shown that the proposed algorithm efficient than previous closed pattern mining algorithm. The Same Support Value is used to prune search space accordingly by the given min_sup value.

Pattern Mining, Same Support Value, Closed Frequent, Frequent item

"Efficient Closed Frequent Pattern Mining using Binary Representation with Same Support Value", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.548-553, December-2018, Available :http://www.jetir.org/papers/JETIR1812979.pdf

"Efficient Closed Frequent Pattern Mining using Binary Representation with Same Support Value", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp548-553, December-2018, Available at : http://www.jetir.org/papers/JETIR1812979.pdf