{"id":164174,"updated":"2025-01-20T11:02:07.861040+00:00","links":{},"created":"2025-01-19T00:36:01.126059+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00164174","sets":["6504:8291:8753"]},"path":["8753"],"owner":"6748","recid":"164174","title":["アイテムセットと時系列パターンの出現順序を考慮した分類パターンによる分類モデルの精度向上に関する一考察"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-03-17"},"_buckets":{"deposit":"7a2b19e4-ff26-4329-95a8-53849ac8c677"},"_deposit":{"id":"164174","pid":{"type":"depid","value":"164174","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"アイテムセットと時系列パターンの出現順序を考慮した分類パターンによる分類モデルの精度向上に関する一考察","author_link":["323055","323054","323056","323057"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"アイテムセットと時系列パターンの出現順序を考慮した分類パターンによる分類モデルの精度向上に関する一考察"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"データとウェブ","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2015-03-17","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"電通大"},{"subitem_text_value":"電通大"},{"subitem_text_value":"電通大"},{"subitem_text_value":"電通大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/164174/files/IPSJ-Z77-5N-05.pdf","label":"IPSJ-Z77-5N-05.pdf"},"date":[{"dateType":"Available","dateValue":"2016-06-10"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-Z77-5N-05.pdf","filesize":[{"value":"221.5 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"e10e7b59-624e-48b5-8123-0ee477bd687b","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2015 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"小柳, 暁奨"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"新谷, 隆彦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大森, 匡"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"藤田, 秀之"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"今日の技術進歩によって多種類のデータが取得されるようになると共に，多種類のデータを組み合わせた分類パターンマイニングの研究が行われてきた．従来研究では，分類パターンを抽出する際に，データ間の出現順序を考慮せずに多種データのパターンを組み合わせていた．しかし，データにタイムスタンプが含まれている場合，データ間の出現順序を考慮して分類パターンを抽出することが可能である．本研究では，時系列パターンとアイテムセットの出現順序を考慮して分類パターンを抽出し，これらのパターンを用いて分類モデルを構築する．そして，実際のデータを用いた実験により構築した分類モデルを評価する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"672","bibliographic_titles":[{"bibliographic_title":"第77回全国大会講演論文集"}],"bibliographicPageStart":"671","bibliographicIssueDates":{"bibliographicIssueDate":"2015-03-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2015"}]},"relation_version_is_last":true,"weko_creator_id":"6748"}}