Name
Abstract | ||
|---|---|---|
Based on the classical FP-growth algorithm about frequent itemsets mining, this paper proposes a more efficient non-recursive FPNR-growth algorithm and corresponding data structure. The experimental results show that the FPNR-growth algorithm is superior to the FP-growth algorithm, both in mining time and in storage space. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/CBD.2017.61 | 2017 Fifth International Conference on Advanced Cloud and Big Data (CBD) |
Keywords | Field | DocType |
data mining,frequent itemsets,FP-growth | Data mining,Data structure,GSP Algorithm,Computer science,Algorithm,FSA-Red Algorithm | Conference |
ISSN | ISBN | Citations |
2573-301X | 978-1-5386-1073-2 | 0 |
PageRank | References | Authors |
0.34 | 7 | 2 |