Matches in SemOpenAlex for { <https://semopenalex.org/work/W1996799478> ?p ?o ?g. }
- W1996799478 endingPage "108" @default.
- W1996799478 startingPage "95" @default.
- W1996799478 abstract "We propose a nature-inspired approach to estimate the probability density function (pdf) used for data clustering based on the optimum-path forest algorithm (OPFC). OPFC interprets a dataset as a graph, whose nodes are the samples and each sample is connected to its k-nearest neighbors in a given feature space (a k-nn graph). The nodes of the graph are weighted by their pdf values and the pdf is computed based on the distances between the samples and their k-nearest neighbors. Once the k-nn graph is defined, OPFC finds one sample (root) at each maximum of the pdf and propagates one optimum-path tree (cluster) from each root to the remaining samples of its dome. Clustering effectiveness will depend on the pdf estimation, and the proposed approach efficiently computes the best value of k for a given application. We validate our approach in the context of intrusion detection in computer networks. First, we compare OPFC with data clustering based on k-means, and self-organization maps. Second, we evaluate several metaheuristic techniques to find the best value of k." @default.
- W1996799478 created "2016-06-24" @default.
- W1996799478 creator A5000302987 @default.
- W1996799478 creator A5001469433 @default.
- W1996799478 creator A5015267493 @default.
- W1996799478 creator A5031485083 @default.
- W1996799478 creator A5089704039 @default.
- W1996799478 creator A5042718369 @default.
- W1996799478 date "2015-02-01" @default.
- W1996799478 modified "2023-10-16" @default.
- W1996799478 title "A nature-inspired approach to speed up optimum-path forest clustering and its application to intrusion detection in computer networks" @default.
- W1996799478 cites W1489073918 @default.
- W1996799478 cites W1965902027 @default.
- W1996799478 cites W1970780821 @default.
- W1996799478 cites W1996058298 @default.
- W1996799478 cites W2013504000 @default.
- W1996799478 cites W2026258420 @default.
- W1996799478 cites W2031163547 @default.
- W1996799478 cites W2039377530 @default.
- W1996799478 cites W2044587647 @default.
- W1996799478 cites W2047350783 @default.
- W1996799478 cites W2066832805 @default.
- W1996799478 cites W2072955302 @default.
- W1996799478 cites W2096411924 @default.
- W1996799478 cites W2100199701 @default.
- W1996799478 cites W2115284428 @default.
- W1996799478 cites W2115542542 @default.
- W1996799478 cites W2121947440 @default.
- W1996799478 cites W2132001627 @default.
- W1996799478 cites W2134693219 @default.
- W1996799478 cites W2137623823 @default.
- W1996799478 cites W2139669429 @default.
- W1996799478 cites W2139836766 @default.
- W1996799478 cites W2143978378 @default.
- W1996799478 cites W2154943049 @default.
- W1996799478 cites W2160873061 @default.
- W1996799478 cites W252677323 @default.
- W1996799478 cites W3099509646 @default.
- W1996799478 cites W3105346980 @default.
- W1996799478 cites W4248916828 @default.
- W1996799478 cites W4250320908 @default.
- W1996799478 cites W433644524 @default.
- W1996799478 doi "https://doi.org/10.1016/j.ins.2014.09.025" @default.
- W1996799478 hasPublicationYear "2015" @default.
- W1996799478 type Work @default.
- W1996799478 sameAs 1996799478 @default.
- W1996799478 citedByCount "54" @default.
- W1996799478 countsByYear W19967994782015 @default.
- W1996799478 countsByYear W19967994782016 @default.
- W1996799478 countsByYear W19967994782017 @default.
- W1996799478 countsByYear W19967994782018 @default.
- W1996799478 countsByYear W19967994782019 @default.
- W1996799478 countsByYear W19967994782020 @default.
- W1996799478 countsByYear W19967994782021 @default.
- W1996799478 countsByYear W19967994782022 @default.
- W1996799478 countsByYear W19967994782023 @default.
- W1996799478 crossrefType "journal-article" @default.
- W1996799478 hasAuthorship W1996799478A5000302987 @default.
- W1996799478 hasAuthorship W1996799478A5001469433 @default.
- W1996799478 hasAuthorship W1996799478A5015267493 @default.
- W1996799478 hasAuthorship W1996799478A5031485083 @default.
- W1996799478 hasAuthorship W1996799478A5042718369 @default.
- W1996799478 hasAuthorship W1996799478A5089704039 @default.
- W1996799478 hasConcept C11413529 @default.
- W1996799478 hasConcept C124101348 @default.
- W1996799478 hasConcept C132525143 @default.
- W1996799478 hasConcept C153180895 @default.
- W1996799478 hasConcept C154945302 @default.
- W1996799478 hasConcept C199360897 @default.
- W1996799478 hasConcept C22047676 @default.
- W1996799478 hasConcept C2777735758 @default.
- W1996799478 hasConcept C33923547 @default.
- W1996799478 hasConcept C35525427 @default.
- W1996799478 hasConcept C41008148 @default.
- W1996799478 hasConcept C73555534 @default.
- W1996799478 hasConcept C80444323 @default.
- W1996799478 hasConceptScore W1996799478C11413529 @default.
- W1996799478 hasConceptScore W1996799478C124101348 @default.
- W1996799478 hasConceptScore W1996799478C132525143 @default.
- W1996799478 hasConceptScore W1996799478C153180895 @default.
- W1996799478 hasConceptScore W1996799478C154945302 @default.
- W1996799478 hasConceptScore W1996799478C199360897 @default.
- W1996799478 hasConceptScore W1996799478C22047676 @default.
- W1996799478 hasConceptScore W1996799478C2777735758 @default.
- W1996799478 hasConceptScore W1996799478C33923547 @default.
- W1996799478 hasConceptScore W1996799478C35525427 @default.
- W1996799478 hasConceptScore W1996799478C41008148 @default.
- W1996799478 hasConceptScore W1996799478C73555534 @default.
- W1996799478 hasConceptScore W1996799478C80444323 @default.
- W1996799478 hasFunder F4320320997 @default.
- W1996799478 hasFunder F4320321091 @default.
- W1996799478 hasFunder F4320322025 @default.
- W1996799478 hasLocation W19967994781 @default.
- W1996799478 hasOpenAccess W1996799478 @default.
- W1996799478 hasPrimaryLocation W19967994781 @default.
- W1996799478 hasRelatedWork W155571662 @default.
- W1996799478 hasRelatedWork W1999884680 @default.
- W1996799478 hasRelatedWork W2091135350 @default.