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Title |
A Comparative Study of FP-growth Variations |
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Author |
Aiman Moyaid Said, P D D. Dominic, Azween B Abdullah |
| Citation |
Vol. 9 No. 5 pp. 266-272 |
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Abstract |
Finding frequent itemsets in databases is crucial in data mining for purpose of extracting association rules. Many algorithms were developed to find those frequent itemsets. This paper presents a summarization and a comparative study of the available FP-growth algorithm variations produced for mining frequent itemsets showing their capabilities and efficiency in terms of time and memory consumption. |
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Keywords |
Data mining, frequent itemsets, FP-growth |
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