Name
Title | ||
|---|---|---|
C3Ro: An efficient mining algorithm of extended-closed contiguous robust sequential patterns in noisy data |
Abstract | ||
|---|---|---|
•New notion of apprehensibility to represent the quality of pattern mining output.•Two constraints to improve apprehensibility and noise-resistance of pattern mining.•A generic, highly parameterizable and efficient pattern mining algorithm.•Experimentations on various datasets to evaluate the algorithm and both constraints. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.eswa.2019.04.058 | Expert Systems with Applications |
Keywords | Field | DocType |
Data mining,Sequential pattern mining,Closed contiguous pattern,Noisy data,Constraints,Efficiency | Data mining,Noisy data,Research question,Computer science,Contiguity (probability theory),Robustness (computer science),Job market,Artificial intelligence,Data mining algorithm,Sequential Pattern Mining,Machine learning | Journal |
Volume | ISSN | Citations |
131 | 0957-4174 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Y. Abboud | 1 | 0 | 0.34 |
| Armelle Brun | 2 | 138 | 21.49 |
| Anne Boyer | 3 | 106 | 18.08 |