A Hybrid Approach for Re-current Frequent ItemSet Mining |
Author(s): |
| Surendra Tiwari , RVCE,Bangalore; Prof. Suma B, RVCE,Bangalore |
Keywords: |
| Hybrid Approach, Apriori Algorithm, FP-Tree, |
Abstract |
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Recurrent itemsets mining is an important concept in the mining of different hidden patterns and is in demand in many real-life applications. There are many methods to find recurrent itemset based on breath first search (for ex-Apriori) and depth first search (for ex-FP-Tree). Both these have their own disadvantage and advantage. The BFS gave better result in terms of efficiency. The DFS algorithm is good in terms of time taken to generate recurrent itemset. Most of previous and current works on mining recurrent itemsets can only capture the static itemsets they do not take care of the recurrent itemsets that often change.so this limitation motivate to work in this area.In the proposed work, using the concept of pheromones Strategy of Ants, we described and proposed a new method for dynamic recurrent itemsets mining. |
Other Details |
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Paper ID: IJSRDV2I5160 Published in: Volume : 2, Issue : 5 Publication Date: 01/08/2014 Page(s): 445-446 |
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