{"id":48728,"updated":"2025-01-22T08:22:05.280804+00:00","links":{},"created":"2025-01-18T23:13:54.373166+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00048728","sets":["1164:4179:4243:4245"]},"path":["4245"],"owner":"1","recid":"48728","title":["解散フーリエ変換を用いたベクトル空間モデルの次元削減"],"pubdate":{"attribute_name":"公開日","attribute_value":"1999-09-10"},"_buckets":{"deposit":"27482ed1-84d5-4d4d-8dca-562722e414d3"},"_deposit":{"id":"48728","pid":{"type":"depid","value":"48728","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"解散フーリエ変換を用いたベクトル空間モデルの次元削減","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"解散フーリエ変換を用いたベクトル空間モデルの次元削減"},{"subitem_title":"Dimensionality Reduction of Vector Space Model based on Discrete Fourier Transform","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"1999-09-10","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"徳島大学工学部"},{"subitem_text_value":"徳島大学工学部"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Faculty of Engineering, Tokushima University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Engineering, Tokushima University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/48728/files/IPSJ-NL99133010.pdf"},"date":[{"dateType":"Available","dateValue":"2001-09-10"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-NL99133010.pdf","filesize":[{"value":"414.6 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"23"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"ca4c35c8-77c0-4d61-9137-fbed4ab04556","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 1999 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"北, 研二"},{"creatorName":"佐々木, 稔"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kenji, Kita","creatorNameLang":"en"},{"creatorName":"Minoru, Sasaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10115061","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"代表的な情報検索モデルであるベクトル空間モデルの次元を離散フーリエ変換により削減する方法を提案する。また、提案した方法を概念に基づく検索モデルである潜在的意味インデキシング法(atent　Semantic　Indexing;　LS)へ適用することを試みる。","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this paper, we propose to use the Discrete Fourier Transform (DFT) for dimensionality reduction of the vector space information retrieval model. The point is to apply DFT to document vectors and use the first several Fourier coefficients as document features. We also apply DFT-based dimensionality reduction to Latent Semantic Indexing (LSI). Instead of performing the Singular Value Decomposition (SVD) on the entire term-document matrix, we show that it is sufficient to perform SVD on a DFT-derived reduced space.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"76","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告自然言語処理（NL）"}],"bibliographicPageStart":"69","bibliographicIssueDates":{"bibliographicIssueDate":"1999-09-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"73(1999-NL-133)","bibliographicVolumeNumber":"1999"}]},"relation_version_is_last":true,"weko_creator_id":"1"}}