Abstract
We proposed a model for detecting patterns in tasks that recur irregularly. This model may be useful for predicting future tasks, but it is not clear how to extract the necessary information from the model. This paper proposes a method for forecasting future tasks by extracting statistical information from the model. First, we introduce some additional terms for expressing the statistical information. Next, we propose a new method for forecasting. Finally, we provide typical examples of recurring tasks and evaluate the method using these examples.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012 |
| Pages | 638-643 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2012 |
| Event | 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012 - Victoria, BC, Canada Duration: Nov 12 2012 → Nov 14 2012 |
Other
| Other | 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012 |
|---|---|
| Country | Canada |
| City | Victoria, BC |
| Period | 11/12/12 → 11/14/12 |
Keywords
- calendar
- task forecasting
- task management
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
Cite this
A practical method for forecasting the future calendar events of ambiguous recurrence. / Yoshii, Hideto; Nomura, Yoshinari; Taniguchi, Hideo.
Proceedings - 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012. 2012. p. 638-643 6363129.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A practical method for forecasting the future calendar events of ambiguous recurrence
AU - Yoshii, Hideto
AU - Nomura, Yoshinari
AU - Taniguchi, Hideo
PY - 2012
Y1 - 2012
N2 - We proposed a model for detecting patterns in tasks that recur irregularly. This model may be useful for predicting future tasks, but it is not clear how to extract the necessary information from the model. This paper proposes a method for forecasting future tasks by extracting statistical information from the model. First, we introduce some additional terms for expressing the statistical information. Next, we propose a new method for forecasting. Finally, we provide typical examples of recurring tasks and evaluate the method using these examples.
AB - We proposed a model for detecting patterns in tasks that recur irregularly. This model may be useful for predicting future tasks, but it is not clear how to extract the necessary information from the model. This paper proposes a method for forecasting future tasks by extracting statistical information from the model. First, we introduce some additional terms for expressing the statistical information. Next, we propose a new method for forecasting. Finally, we provide typical examples of recurring tasks and evaluate the method using these examples.
KW - calendar
KW - task forecasting
KW - task management
UR - http://www.scopus.com/inward/record.url?scp=84874241986&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84874241986&partnerID=8YFLogxK
U2 - 10.1109/BWCCA.2012.111
DO - 10.1109/BWCCA.2012.111
M3 - Conference contribution
SN - 9780769548425
SP - 638
EP - 643
BT - Proceedings - 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012
ER -