10.22376/ijpbs.2019.10.1.p1-12 Volume 6 Issue 2 2015 (April - June) Association rule mining is the recent data mining research.We have presented an approach for mining frequent itemsets using Dengue virus type- 1 data set. This paper proposes an Improved Two Dimensional Transaction Reduction(ITDTR) algorithm which is a combined approach of transaction reduction and sampling in bio data mining. This system produces the same frequent item sets as produced from Apriori algorithm and FP-Growth Algorithm with the higher performance. This system reveals that Glycine (G), Leucine(L), Serine(S), Lysine(K) , Phenylalanine (F) are the dominating amino acids in Dengue Virus Type-1 data set with higher accuracy and efficiency.The efficiency of this algorithm is compared with Apriori algorithm,FP_Growth algorithm,Genetic algorithm, and TDTR lessThan sup greaterThan 1,2,3,4 lessThan /sup greaterThan algorithm which we have implemented in our previous research work. D.KERANA HANIREX, DR.K.P.KALIYAMURTHIE AND DR.A.KUMARAVEL Data Mining, Bio Data Mining, Association Rule Mining, Apriori, FP-Growth, Genetic, Distributed, TDTR and ITDTR 288-295