{"created":"2021-03-01T07:14:45.681650+00:00","id":35792,"links":{},"metadata":{"_buckets":{"deposit":"5fdcfdb3-973d-4ab0-b00e-02268cfe2627"},"_deposit":{"id":"35792","owners":[],"pid":{"revision_id":0,"type":"depid","value":"35792"},"status":"published"},"_oai":{"id":"oai:tsukuba.repo.nii.ac.jp:00035792","sets":["152:2529","3:62:5591:1058"]},"item_5_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2015-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"10","bibliographicPageEnd":"2644","bibliographicPageStart":"2632","bibliographicVolumeNumber":"27","bibliographic_titles":[{"bibliographic_title":"IEEE transactions on knowledge and data engineering"}]}]},"item_5_creator_3":{"attribute_name":"著者別名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"日野, 英逸"}],"nameIdentifiers":[{}]}]},"item_5_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In this paper, the limitation that is prominent in most existing works of change-point detection methods is addressed by proposing a nonparametric, computationally efficient method. The limitation is that most works assume that each data point observed at each time step is a single multi-dimensional vector. However, there are many situations where this does not hold. Therefore, a setting where each observation is a collection of random variables, which we call a bag of data, is considered. After estimating the underlying distribution behind each bag of data and embedding those distributions in a metric space, the change-point score is derived by evaluating how the sequence of distributions is fluctuating in the metric space using a distance-based information estimator. Also, a procedure that adaptively determines when to raise alerts is incorporated by calculating the confidence interval of the change-point score at each time step. This avoids raising false alarms in highly noisy situations and enables detecting changes of various magnitudes. A number of experimental studies and numerical examples are provided to demonstrate the generality and the effectiveness of our approach with both synthetic and real datasets.\n","subitem_description_type":"Abstract"}]},"item_5_publisher_27":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEEE"}]},"item_5_relation_11":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1109/TKDE.2015.2426693","subitem_relation_type_select":"DOI"}}]},"item_5_rights_12":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"© 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission."}]},"item_5_select_15":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"author"}]},"item_5_source_id_7":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1041-4347","subitem_source_identifier_type":"ISSN"}]},"item_5_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA10692959","subitem_source_identifier_type":"NCID"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Koshijima, K."}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hino, H"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Murata, N."}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2015-10-21"}],"displaytype":"detail","filename":"IEEE_27-10.pdf","filesize":[{"value":"1.8 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"IEEE_27-10","url":"https://tsukuba.repo.nii.ac.jp/record/35792/files/IEEE_27-10.pdf"},"version_id":"cd2e96c2-0f5e-4596-a9a1-80d5eae52807"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Change-Point Detection in a Sequence of Bags-of-Data","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Change-Point Detection in a Sequence of Bags-of-Data"}]},"item_type_id":"5","owner":"1","path":["2529","1058"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-10-21"},"publish_date":"2015-10-21","publish_status":"0","recid":"35792","relation_version_is_last":true,"title":["Change-Point Detection in a Sequence of Bags-of-Data"],"weko_creator_id":"1","weko_shared_id":5},"updated":"2022-04-27T09:04:43.437416+00:00"}