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Scalable Algorithms for Mining Dynamic Graphs and Hypergraphs with Applications to Anomaly Detection

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개인저자Ranshous, Stephen Michael.
단체저자명North Carolina State University.
서명/저자사항Scalable Algorithms for Mining Dynamic Graphs and Hypergraphs with Applications to Anomaly Detection.
발행사항[S.l.] : North Carolina State University., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항134 p.
소장본 주기School code: 0155.
ISBN9780438284029
일반주기 Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Nagiza F. Samatova.
요약Graph data mining has become a ubiquitous tool for researchers and practitioners in numerous domains, including social sciences, financial markets, and computer security. In particular, mining dynamic graphs has gained substantial interest in th
요약We propose two changes for how anomaly detection is performed over large-scale dynamic graphs to cope with the growing constraints. First, we transition from the traditional approach of analyzing graph streams, where each object in the stream is
요약In our first component, based on our extensive survey and gap analysis of the field, we begin with the simplest case, undirected graph edge streams. Key graph properties necessary for our anomaly detection algorithm are approximated from the str
요약In our second component, we plan to extend the streaming model from graph edges to hypergraph edges, or hyperedges. As hyperedges represent higher order relationships, not strictly pairwise, we must transition to a more flexible notion of simila
요약Finally, our last component examines the potential for pattern based anomalies in dynamic directed hypergraphs (dirhypergraphs). We perform a case study using the Bitcoin network, and propose an edge-based pattern which we posit may represent mo
일반주제명Computer science.
언어영어
기본자료 저록Dissertation Abstracts International79-12B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T15001293

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