FINGERPRINT REGISTRATION FRAUD DETECTION USING TIGHT CLUSTERING ON EMPLOYEE’S PRESENCE AND ACTIVITY DATA

Detecting fraud in fingerprint registration poses a unique challenge as we cannot rely on an existing employee’s attribute. Furthermore, analyzing using a supervised algorithm cannot handle unlabeled data that generated uniquely for this case. We study the patterns of employee’s presence and acti...

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主要作者: Kamil, Irfan
格式: Theses
語言:Indonesia
在線閱讀:https://digilib.itb.ac.id/gdl/view/70698
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機構: Institut Teknologi Bandung
語言: Indonesia