Name
Abstract | ||
|---|---|---|
•In this paper, we propose an algorithm named dFIN for frequent itemset mining.•dFIN achieves high performance by employing DiffNodesets to represent itemsets.•Experiment results on real datasets show that dFIN is effective and outperforms state-of-the-art algorithms. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.asoc.2016.01.010 | Applied Soft Computing |
Keywords | Field | DocType |
Data mining,Frequent itemset mining,DiffNodesets,Algorithm,Performance | Data mining,Artificial intelligence,Machine learning,Mathematics | Journal |
Volume | ISSN | Citations |
41 | 1568-4946 | 15 |
PageRank | References | Authors |
0.55 | 36 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhi-Hong Deng | 1 | 185 | 23.33 |