Name
Abstract | ||
|---|---|---|
•An algorithm of episode rules mining in an event sequence for early prediction.•The extracted rules have a temporally distant consequent and a minimal antecedent.•The algorithm outperforms traditional algorithms in running time and scalability. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.eswa.2017.10.035 | Expert Systems with Applications |
Keywords | Field | DocType |
Data mining,Event sequence mining,Episode rules mining,Events prediction,Early prediction | Data mining,Computer science,Artificial intelligence,Machine learning,Scalability | Journal |
Volume | ISSN | Citations |
93 | 0957-4174 | 1 |
PageRank | References | Authors |
0.35 | 36 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lina Fahed | 1 | 1 | 0.35 |
| Armelle Brun | 2 | 138 | 21.49 |
| Anne Boyer | 3 | 106 | 18.08 |