Leilani Gilpin

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Detection of fraud, waste, and abuse (FWA) is an important yet difficult problem. In this paper, we describe a system to detect suspicious activities in large healthcare claims datasets. Each healthcare dataset is viewed as a heterogeneous network of patients, doctors, pharmacies, and other entities. These networks can be large, with millions of patients,(More)
comfort of the participants as all the activities (including the lunches) could be taken on the same site. Besides, as it was expressed by several participants, the renovated faculty building surely belongs to the most beautiful math and computer science departments in the world! The workshop was organized by the Department of Applied Mathematics (KAM) of(More)
Autonomous routing algorithms are intended to reach a global solution after nodes independently process and share information. However, the role of the mechanism used to share information has been previously overlooked in previous analyses of these algorithms and network connectivity. In this paper, I explicitly study how these network-communication models(More)
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