{"created":"2025-01-19T00:20:06.849571+00:00","updated":"2025-01-19T16:44:54.777944+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00142692","sets":["6394:7784:7787"]},"path":["7787"],"owner":"13","recid":"142692","title":["分析プロセス自動化・標準化への挑戦─実践に基づく考察─"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-07-15"},"_buckets":{"deposit":"5ca19222-5be0-4ca3-9203-1a5abadde28a"},"_deposit":{"id":"142692","pid":{"type":"depid","value":"142692","revision_id":0},"owners":[13],"status":"published","created_by":13},"item_title":"分析プロセス自動化・標準化への挑戦─実践に基づく考察─","author_link":["212694","212693"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"分析プロセス自動化・標準化への挑戦─実践に基づく考察─"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"特集：ビッグデータ分析をビジネスに活かす","subitem_subject_scheme":"Other"}]},"item_type_id":"21","publish_date":"2015-07-15","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_21_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"NEC Knowledge Discovery Research Laboratories"},{"subitem_text_value":"日本電気（株）"}]},"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/142692/files/IPSJ-DP0603005.pdf","label":"IPSJ-DP0603005"},"date":[{"dateType":"Available","dateValue":"2021-12-07"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DP0603005.pdf","filesize":[{"value":"3.2 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"2caa7efb-4085-41a7-944d-51c01ec2029f","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2015 by the Information Processing Society of Japan"}]},"item_21_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"藤巻遼平"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"本橋洋介"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_21_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA1245124X","subitem_source_identifier_type":"NCID"}]},"item_21_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-4390","subitem_source_identifier_type":"ISSN"}]},"item_21_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"ビッグデータから価値のある法則を導き，実際の業務で活用するためには，単なる統計・機械学習ツールの実行だけでなく，分析目的の設計，データの前処理，モデルの設計，業務フローへの組み込み，といった一連のプロセスが必要である．この「分析プロセス」を実行するデータサイエンティストには，顧客の業務と分析の両面の理解が求められ，現状では個人のスキルに依存しているケースがほとんどである．本稿では，筆者らが第一線のデータサイエンティストとして挑戦する分析プロセスの自動化・標準化への取り組みを説明する．","subitem_description_type":"Other"}]},"item_21_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"206","bibliographic_titles":[{"bibliographic_title":"デジタルプラクティス"}],"bibliographicPageStart":"198","bibliographicIssueDates":{"bibliographicIssueDate":"2015-07-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicVolumeNumber":"6"}]},"relation_version_is_last":true,"item_21_alternative_title_2":{"attribute_name":"その他タイトル","attribute_value_mlt":[{"subitem_alternative_title":"招待論文"}]},"weko_creator_id":"13"},"id":142692,"links":{}}