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.
| Original language | English |
|---|---|
| DOIs | |
| Publication status | Published - 2013 Jan 1 |
| Event | 9th International Conference on Information, Communications and Signal Processing, ICICS 2013 - Tainan, Taiwan Duration: 2013 Dec 10 → 2013 Dec 13 |
Other
| Other | 9th International Conference on Information, Communications and Signal Processing, ICICS 2013 |
|---|---|
| Country | Taiwan |
| City | Tainan |
| Period | 13-12-10 → 13-12-13 |
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Information Systems
- Signal Processing
Cite this
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Partial periodic patterns mining with multiple minimum supports. / Yang, Kung Jiuan; Lan, Guo Cheng; Hong, Tzung Pei; Chen, Yuh-Min.
2013. Paper presented at 9th International Conference on Information, Communications and Signal Processing, ICICS 2013, Tainan, Taiwan.Research output: Contribution to conference › Paper
TY - CONF
T1 - Partial periodic patterns mining with multiple minimum supports
AU - Yang, Kung Jiuan
AU - Lan, Guo Cheng
AU - Hong, Tzung Pei
AU - Chen, Yuh-Min
PY - 2013/1/1
Y1 - 2013/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84899087019&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84899087019&partnerID=8YFLogxK
U2 - 10.1109/ICICS.2013.6782910
DO - 10.1109/ICICS.2013.6782910
M3 - Paper
AN - SCOPUS:84899087019
ER -