@article{oai:tokyo-metro-u.repo.nii.ac.jp:00003117,
 author = {ヤベ, ナオト and Yabe, Naoto},
 journal = {Geographical Reports of Tokyo Metropolitan University},
 month = {},
 note = {Sequence alignment methods have been applied in classifying activity sequences for time geographic researches. However, many sequence alignment methods cannot easily find the characteristics or "motifs" of activity patterns. A sequential pattern mining method, called Prefix Span is applied to activity sequences in this study. Prefix Span successfully determined the motifs in the activity sequences of housewives living in central Tokyo. To examine the influence of the Internet on activity sequences, the frequencies of motifs were compared between two groups: a group that used the Internet for housework, and a group that did not. The results indicated that Internet usage changed the order of activities., postprint},
 pages = {73--80},
 title = {Sequential pattern mining for activity diaries : A case study of housewives living in central Tokyo},
 volume = {50},
 year = {2015}
}