{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:18:00Z","timestamp":1750220280955,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":7,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,7,23]],"date-time":"2021-07-23T00:00:00Z","timestamp":1626998400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"YAYASAN UNIVERSITI TEKNOLOGI PETRONAS","award":["015LC0-274"],"award-info":[{"award-number":["015LC0-274"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,7,23]]},"DOI":"10.1145\/3480433.3480445","type":"proceedings-article","created":{"date-parts":[[2021,11,8]],"date-time":"2021-11-08T17:11:30Z","timestamp":1636391490000},"page":"59-64","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Predictive Analytics of Machine Failure using Linear Regression on KNIME Platform"],"prefix":"10.1145","author":[{"given":"Emelia Akashah P.","family":"Akhir","sequence":"first","affiliation":[{"name":"Universiti Teknologi Petronas, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nasha","family":"Ayuni","sequence":"additional","affiliation":[{"name":"Universiti Teknologi Petronas, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,11,8]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_3_2_1_1_1","DOI":"10.1109\/TII.2014.2349359"},{"key":"e_1_3_2_1_2_1","first-page":"15","article-title":"Predicting Time to Failure of Industrial Machines with Temporal Data Mining","author":"Nakamura J.","year":"2007","unstructured":"Nakamura , J. ( 2007 ). Predicting Time to Failure of Industrial Machines with Temporal Data Mining . Masters of Science - University of Washington , 15 - 92 . Nakamura, J. (2007). Predicting Time to Failure of Industrial Machines with Temporal Data Mining. Masters of Science - University of Washington, 15-92.","journal-title":"Masters of Science - University of Washington"},{"key":"e_1_3_2_1_3_1","first-page":"45","author":"Jahnke P.","year":"2015","unstructured":"Jahnke , P. ( 2015 ). Machine Learning Approaches for Failure Type Detection and Predictive Maintenance. 45 - 54 . Jahnke, P. (2015). Machine Learning Approaches for Failure Type Detection and Predictive Maintenance. 45-54.","journal-title":"Machine Learning Approaches for Failure Type Detection and Predictive Maintenance."},{"key":"e_1_3_2_1_4_1","first-page":"401","article-title":"m nl ad in e e V by e th rsio is n fil O e is nly m nl ad in e e V by e th rsio is n fil O e","author":"Gupta D. L.","year":"2016","unstructured":"Gupta , D. L. ( 2016 ). m nl ad in e e V by e th rsio is n fil O e is nly m nl ad in e e V by e th rsio is n fil O e . Deep Machine Learning and Neural Networks: An Overview Chandrahas , 401 - 414 . Gupta, D. L. (2016). m nl ad in e e V by e th rsio is n fil O e is nly m nl ad in e e V by e th rsio is n fil O e. Deep Machine Learning and Neural Networks: An Overview Chandrahas, 401-414.","journal-title":"Deep Machine Learning and Neural Networks: An Overview Chandrahas"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_5_1","DOI":"10.1243\/0954408001530146"},{"key":"e_1_3_2_1_6_1","volume-title":"MATEC Web Conf. 176 01033","author":"Shen Rong","year":"2018","unstructured":"Shen Rong , Zhang Bao-wen ( 2018 ) The research of regression model in machine learning field . MATEC Web Conf. 176 01033 . DOI: 10.1051\/matecconf\/201817601033 10.1051\/matecconf Shen Rong, Zhang Bao-wen (2018) The research of regression model in machine learning field. MATEC Web Conf. 176 01033. DOI: 10.1051\/matecconf\/201817601033"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_7_1","DOI":"10.1162\/neco.2006.18.8.1790"}],"event":{"acronym":"AIVR 2021","name":"AIVR 2021: 2021 the 5th International Conference on Artificial Intelligence and Virtual Reality","location":"Kumamoto Japan"},"container-title":["2021 5th International Conference on Artificial Intelligence and Virtual Reality (AIVR)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3480433.3480445","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3480433.3480445","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:31:17Z","timestamp":1750188677000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3480433.3480445"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,23]]},"references-count":7,"alternative-id":["10.1145\/3480433.3480445","10.1145\/3480433"],"URL":"https:\/\/doi.org\/10.1145\/3480433.3480445","relation":{},"subject":[],"published":{"date-parts":[[2021,7,23]]},"assertion":[{"value":"2021-11-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}