Title :
A Practical Method for Forecasting the Future Calendar Events of Ambiguous Recurrence
Author :
Yoshii, Hideki ; Nomura, Yutaka ; Taniguchi, Hideki
Author_Institution :
Grad. Sch. of Natural Sci. & Technol., Okayama Univ., Okayama, Japan
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 :
feature extraction; forecasting theory; office automation; pattern classification; statistical analysis; task analysis; ambiguous recurrence; future calendar event forecasting method; pattern detection model; recurring tasks; statistical information extraction; Accuracy; Calendars; Data mining; Forecasting; Minutes; Planning; Predictive models; calendar; task forecasting; task management;
Conference_Titel :
Broadband, Wireless Computing, Communication and Applications (BWCCA), 2012 Seventh International Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
978-1-4673-2972-9
DOI :
10.1109/BWCCA.2012.111
