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Operational data of these devices is needed for this process. Manually analysing the machined produced operational data is tedious and complex due to enormity of data. Using machine learning techniques will be of greater help here as this will help automate the troubleshooting process, avoid human errors and save time for the technical solutions engineers.<\/p>","DOI":"10.4018\/ijsi.2019040104","type":"journal-article","created":{"date-parts":[[2019,2,19]],"date-time":"2019-02-19T08:10:21Z","timestamp":1550563821000},"page":"41-49","source":"Crossref","is-referenced-by-count":18,"title":["Network Support Data Analysis for Fault Identification Using Machine Learning"],"prefix":"10.4018","volume":"7","author":[{"given":"Shakila","family":"Basheer","sequence":"first","affiliation":[{"name":"King Khalid University, Abha, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Usha Devi","family":"Gandhi","sequence":"additional","affiliation":[{"name":"VIT University, Vellore, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"family":"Priyan M.K.","sequence":"additional","affiliation":[{"name":"VIT University, Vellore, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"family":"Parthasarathy P.","sequence":"additional","affiliation":[{"name":"VIT University, Vellore, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJSI.2019040104-0","doi-asserted-by":"publisher","DOI":"10.1007\/BF00116835"},{"key":"IJSI.2019040104-1","doi-asserted-by":"crossref","unstructured":"Cohen, W. 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