Matches in SemOpenAlex for { <https://semopenalex.org/work/W2973826972> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2973826972 endingPage "14" @default.
- W2973826972 startingPage "3" @default.
- W2973826972 abstract "Anomaly detection, though, is a common and intensively studied data mining problem in many applications, its online (incremental) algorithm is yet to be proposed and investigated, especially with respect to the use of tensor technique. As online (incremental) learning is becoming increasingly more important, we propose a novel online anomaly detection algorithm using incremental tensor decomposition. The online approach keeps updating the model while new data arrive, in contrast to the conventional approach that requests all data to re-build the model. In addition, the online algorithm can not only track the trend in time evolving data, but also requests less memory since only the new data is necessary for model updating. The experimental results show that the presented algorithm has sound discriminative power that is essential for anomaly detection. In addition, the number of anomalies can be flexibly adjusted by the parameters in the algorithm, which is necessary in some real-world scenarios. The effects of these parameters are also consistent using two experimental datasets." @default.
- W2973826972 created "2019-09-26" @default.
- W2973826972 creator A5001056903 @default.
- W2973826972 creator A5015763832 @default.
- W2973826972 creator A5039804956 @default.
- W2973826972 creator A5043955522 @default.
- W2973826972 creator A5048802666 @default.
- W2973826972 creator A5075501144 @default.
- W2973826972 creator A5084543289 @default.
- W2973826972 date "2019-01-01" @default.
- W2973826972 modified "2023-09-23" @default.
- W2973826972 title "Online Anomaly Detection via Incremental Tensor Decomposition" @default.
- W2973826972 cites W1501262304 @default.
- W2973826972 cites W1963826206 @default.
- W2973826972 cites W1994727741 @default.
- W2973826972 cites W1997564656 @default.
- W2973826972 cites W2007068391 @default.
- W2973826972 cites W2012910063 @default.
- W2973826972 cites W2024165284 @default.
- W2973826972 cites W2037360998 @default.
- W2973826972 cites W2068714596 @default.
- W2973826972 cites W2122646361 @default.
- W2973826972 cites W2167225252 @default.
- W2973826972 cites W2258054274 @default.
- W2973826972 cites W2528907418 @default.
- W2973826972 cites W2900653704 @default.
- W2973826972 cites W2900670233 @default.
- W2973826972 cites W340632675 @default.
- W2973826972 cites W4230512203 @default.
- W2973826972 doi "https://doi.org/10.1007/978-3-030-30952-7_1" @default.
- W2973826972 hasPublicationYear "2019" @default.
- W2973826972 type Work @default.
- W2973826972 sameAs 2973826972 @default.
- W2973826972 citedByCount "3" @default.
- W2973826972 countsByYear W29738269722020 @default.
- W2973826972 countsByYear W29738269722021 @default.
- W2973826972 crossrefType "book-chapter" @default.
- W2973826972 hasAuthorship W2973826972A5001056903 @default.
- W2973826972 hasAuthorship W2973826972A5015763832 @default.
- W2973826972 hasAuthorship W2973826972A5039804956 @default.
- W2973826972 hasAuthorship W2973826972A5043955522 @default.
- W2973826972 hasAuthorship W2973826972A5048802666 @default.
- W2973826972 hasAuthorship W2973826972A5075501144 @default.
- W2973826972 hasAuthorship W2973826972A5084543289 @default.
- W2973826972 hasConcept C121332964 @default.
- W2973826972 hasConcept C124681953 @default.
- W2973826972 hasConcept C12997251 @default.
- W2973826972 hasConcept C154945302 @default.
- W2973826972 hasConcept C155281189 @default.
- W2973826972 hasConcept C18903297 @default.
- W2973826972 hasConcept C2524010 @default.
- W2973826972 hasConcept C26873012 @default.
- W2973826972 hasConcept C2986737658 @default.
- W2973826972 hasConcept C33923547 @default.
- W2973826972 hasConcept C41008148 @default.
- W2973826972 hasConcept C739882 @default.
- W2973826972 hasConcept C86803240 @default.
- W2973826972 hasConceptScore W2973826972C121332964 @default.
- W2973826972 hasConceptScore W2973826972C124681953 @default.
- W2973826972 hasConceptScore W2973826972C12997251 @default.
- W2973826972 hasConceptScore W2973826972C154945302 @default.
- W2973826972 hasConceptScore W2973826972C155281189 @default.
- W2973826972 hasConceptScore W2973826972C18903297 @default.
- W2973826972 hasConceptScore W2973826972C2524010 @default.
- W2973826972 hasConceptScore W2973826972C26873012 @default.
- W2973826972 hasConceptScore W2973826972C2986737658 @default.
- W2973826972 hasConceptScore W2973826972C33923547 @default.
- W2973826972 hasConceptScore W2973826972C41008148 @default.
- W2973826972 hasConceptScore W2973826972C739882 @default.
- W2973826972 hasConceptScore W2973826972C86803240 @default.
- W2973826972 hasLocation W29738269721 @default.
- W2973826972 hasOpenAccess W2973826972 @default.
- W2973826972 hasPrimaryLocation W29738269721 @default.
- W2973826972 hasRelatedWork W2033043708 @default.
- W2973826972 hasRelatedWork W2292987679 @default.
- W2973826972 hasRelatedWork W2393920986 @default.
- W2973826972 hasRelatedWork W2897795620 @default.
- W2973826972 hasRelatedWork W2941571614 @default.
- W2973826972 hasRelatedWork W2986140948 @default.
- W2973826972 hasRelatedWork W4287980542 @default.
- W2973826972 hasRelatedWork W4289375667 @default.
- W2973826972 hasRelatedWork W4290712489 @default.
- W2973826972 hasRelatedWork W2765083400 @default.
- W2973826972 isParatext "false" @default.
- W2973826972 isRetracted "false" @default.
- W2973826972 magId "2973826972" @default.
- W2973826972 workType "book-chapter" @default.