KAGO: an approximate adaptive grid-based outlier detection approach using kernel density estimate
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DOI: 10.1007/s10044-021-00998-6
Abstract: Outlier detection approaches show their efficacy while extracting unforeseen knowledge in domains such as intrusion detection, e-commerce, and fraudulent transactions. A prominent method like the K-Nearest Neighbor (KNN)-based outlier detection (KNNOD) technique relies on distance… read more here.
Keywords: detection; based outlier; approximate adaptive; density ... See more keywords
Approximate adaptive uniformization of continuous-time Markov chains
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DOI: 10.1016/j.apm.2018.05.009
Abstract: Abstract We consider the approximation of transient (time dependent) probability distributions of discrete-state continuous-time Markov chains on large, possibly infinite state spaces. A framework for approximate adaptive uniformization is provided, which generalizes the well-known uniformization… read more here.
Keywords: uniformization; time markov; time; approximate adaptive ... See more keywords