Name
Abstract | ||
|---|---|---|
In this paper, instead of proposing the fastest mining algorithm in the world, we present a new approach in mining association rules. We propose a new algorithm GRA (Gradational Reduction Approach). It adopts three mechanisms to increase the performance of mining. First, GRA algorithm uses a hash based technique, Hash MAP, which is similar to Hash Table to increase the access efficiency. Second, GRA algorithm uses an infrequent itemsets filtering mechanism to avoid generating a great deal of infrequent sub-itemsets of transaction records. Third, in order to reduce the size of database, GRA algorithm uses gradational reduction mechanism which uses the frequent itemsets as the information of filtration mechanisms to erase the infrequent items from database at every phase. GRA algorithm can decrease a large number of non-frequent itemsets and increase the utility rate of memory. Keywords: data mining, mining methods and algorithms, association rules |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/IIH-MSP.2007.11 | IIH-MSP |
Keywords | Field | DocType |
frequent itemsets,mining method,data mining,gra algorithm,infrequent sub-itemsets,infrequent item,mining frequent itemsets,new algorithm,decomposition approach,fastest mining algorithm,mining association rule,infrequent itemsets,hash table,association rule | Data mining,Computer science,Filter (signal processing),Association rule learning,Hash function,Data mining algorithm,Database transaction,Hash table | Conference |
ISBN | Citations | PageRank |
0-7695-2994-1 | 0 | 0.34 |
References | Authors | |
11 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jen-Peng Huang | 1 | 57 | 6.45 |
| Guo-Cheng Lan | 2 | 332 | 19.45 |
| Huang-Cheng Kuo | 3 | 42 | 23.87 |
| Tzung-pei Hong | 4 | 3768 | 483.06 |