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Anomality Detection andData Imputation
+is+a+crucial+process+often+required+in+industrial+settings.+Anomalies+can+signal+underlying+issues+within+a+system%252C+prompting+further+investigation.+Industrial+processes+aim+to+streamline+operations+as+much+as+possible%252C+encompassing+the+production+of+the+final+product%252C+making+AD+an+essential+mean+to+reach+this+goal.Conventional+anomaly+detection+methodologies+typically+classify+observations+as+either+normal+or+anomalous+without+providing+insight+into+the+reasons+behind+these+classifications.Consequently%252C+in+light+of+the+emergence+of+Industry+5.0%252C+a+more+desirable+approach+involves+providing+interpretable+outcomes%252C+enabling+users+to+understand+the+rationale+behind+the+results.This+paper+presents+the+first+industrial+application+of+ExIFFI%252C+a+recently+developed+approach+focused+on+the+production+of+fast+and+efficient+explanations+for+the+Extended+Isolation+Forest+(EIF)+Anomaly+detection+method.+ExIFFI+is+tested+on+two+publicly+available+industrial+datasets+demonstrating+superior+effectiveness+in+explanations+and+computational+efficiency+with+the+respect+to+other+state-of-the-art+explainable+AD+models.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.f524a1017f3e92d52dd6d081d7cbe190%3frik%3d%252bI%252bRfB%252fbw7JyOQ%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Anomality+Detection+and+Data+Imputation&FORM=IRPRST&ck=B4AD8857B5F48B32B5A5571BB561BC0D&selectedIndex=25&itb=0)
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