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Indonesian Library User Behaviour During Covid 19 Pandemic On Digital Library Platform, Irhamni Aug 2020

Indonesian Library User Behaviour During Covid 19 Pandemic On Digital Library Platform, Irhamni

English Language Institute

COVID-19 pandemic has significantly changed library user behavior, workplaces, and some public areas including in the library. During the COVID 19 pandemics, the digital library with a mobile app like ipusnas has facilitated to accessing library resources. The ipusnas has increased people's accessibility to library materials. This research focuses on the use of the digital library has a significant impact on library users behavior; it can influence how they read, access the library, and their interaction with the library resources.


Rank Based Anomaly Detection Algorithms, Huaming Huang May 2013

Rank Based Anomaly Detection Algorithms, Huaming Huang

Electrical Engineering and Computer Science - Dissertations

Anomaly or outlier detection problems are of considerable importance, arising frequently in diverse real-world applications such as finance and cyber-security. Several algorithms have been formulated for such problems, usually based on formulating a problem-dependent heuristic or distance metric. This dissertation proposes anomaly detection algorithms that exploit the notion of ``rank," expressing relative outlierness of different points in the relevant space, and exploiting asymmetry in nearest neighbor relations between points: a data point is ``more anomalous" if it is not the nearest neighbor of its nearest neighbors. Although rank is computed using distance, it is a more robust and higher level …