Name
Abstract | ||
|---|---|---|
Partial periodic patterns are commonly seen in real-world applications. Most of the previous approaches set a single minimum support threshold for all the events in a sequence. However using only one minimum support for all events in an event sequence to assume they have similar frequencies is not easy to happen in real-life applications. In this paper, we propose an algorithm which applies the projection-based mechanism and specifies multiple minimum supports to effectively discover appropriate partial periodic patterns. Finally, the experimental result shows the good performance of the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICICS.2013.6782910 | ICICS |
Keywords | Field | DocType |
data mining,event sequence,multiple minimum supports,partial periodic patterns mining,projection-based mechanism,partial periodic pattern,projection,sequential pattern | Computer science,Algorithm,Event sequence,Frequency conversion,Periodic graph (geometry) | Conference |
ISBN | Citations | PageRank |
978-1-4799-0433-4 | 0 | 0.34 |
References | Authors | |
12 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kung-Jiuan Yang | 1 | 33 | 3.48 |
| Tzung-pei Hong | 2 | 3768 | 483.06 |
| Guo-Cheng Lan | 3 | 332 | 19.45 |
| Yuh-Min Chen | 4 | 379 | 32.12 |