Title :
An Efficient Algorithm for Mining Erasable Itemsets Using the Difference of NC-Sets
Author :
Tuong Le ; Bay Vo ; Coenen, Frans
Author_Institution :
Univ. of Food Ind., Ho Chi Minh City, Vietnam
Abstract :
This paper proposes an improved version of the MERIT algorithm, deMERIT+, for mining all "erasable item sets". We first establish an algorithm MERIT+, a revised version of MERIT, which is then used as the foundation for deMERIT+. The proposed algorithm uses: a weight index, a hash table and the "difference" of Node Code Sets (dNC-Sets) to improve the mining time. A theorem is derived first to show that dNC-Sets can be used for mining erasable item sets. The experimental results show that deMERIT+ is more effective than MERIT+ in terms of the runtime.
Keywords :
data mining; set theory; dNC-sets; deMERIT+ algorithm; difference-of-node code sets; hash table; mining erasable itemset algorithm; mining time; weight index; Algorithm design and analysis; Data mining; Indexes; Itemsets; Magneto electrical resistivity imaging technique; Memory management; Runtime; data mining; difference set; erasable itemsets;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location :
Manchester
DOI :
10.1109/SMC.2013.388