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

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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Bibliographic Details
Main Author: Kamil, Irfan
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/70698
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Institution: Institut Teknologi Bandung
Language: Indonesia

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https://digilib.itb.ac.id/gdl/view/70698

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