A practical method for forecasting the future calendar events of ambiguous recurrence

Hideto Yoshii; Yoshinari Nomura; Hideo Taniguchi

doi:10.1109/BWCCA.2012.111

A practical method for forecasting the future calendar events of ambiguous recurrence

Hideto Yoshii, Yoshinari Nomura, Hideo Taniguchi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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	https://doi.org/10.1109/BWCCA.2012.111
Publication status	Published - Dec 1 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

Publication series

Name	Proceedings - 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012

Other

Other	2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012
Country/Territory	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

Access to Document

10.1109/BWCCA.2012.111

Cite this

Yoshii, H., Nomura, Y., & Taniguchi, H. (2012). A practical method for forecasting the future calendar events of ambiguous recurrence. In Proceedings - 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012 (pp. 638-643). [6363129] (Proceedings - 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012). https://doi.org/10.1109/BWCCA.2012.111

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 (Proceedings - 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yoshii, H, Nomura, Y & Taniguchi, H 2012, A practical method for forecasting the future calendar events of ambiguous recurrence. in Proceedings - 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012., 6363129, Proceedings - 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012, pp. 638-643, 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012, Victoria, BC, Canada, 11/12/12. https://doi.org/10.1109/BWCCA.2012.111

Yoshii H, Nomura Y , Taniguchi H. A practical method for forecasting the future calendar events of ambiguous recurrence. In Proceedings - 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012. 2012. p. 638-643. 6363129. (Proceedings - 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012). doi: 10.1109/BWCCA.2012.111

Yoshii, Hideto ; Nomura, Yoshinari ; Taniguchi, Hideo. / A practical method for forecasting the future calendar events of ambiguous recurrence. Proceedings - 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012. 2012. pp. 638-643 (Proceedings - 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012).

@inproceedings{72559526066748009145d8a9da4c89c1,

title = "A practical method for forecasting the future calendar events of ambiguous recurrence",

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.",

keywords = "calendar, task forecasting, task management",

author = "Hideto Yoshii and Yoshinari Nomura and Hideo Taniguchi",

year = "2012",

month = dec,

day = "1",

doi = "10.1109/BWCCA.2012.111",

language = "English",

isbn = "9780769548425",

series = "Proceedings - 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012",

pages = "638--643",

booktitle = "Proceedings - 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012",

note = "2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012 ; Conference date: 12-11-2012 Through 14-11-2012",

}

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 - 2012/12/1

Y1 - 2012/12/1

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

AN - SCOPUS:84874241986

SN - 9780769548425

T3 - Proceedings - 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012

SP - 638

EP - 643

BT - Proceedings - 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012

T2 - 2012 7th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2012

Y2 - 12 November 2012 through 14 November 2012

ER -

A practical method for forecasting the future calendar events of ambiguous recurrence

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this