Matches in SemOpenAlex for { <https://semopenalex.org/work/W3166197191> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W3166197191 endingPage "174" @default.
- W3166197191 startingPage "168" @default.
- W3166197191 abstract "Recently, smart data has attracted great attention in the smart city community since it can provide valuable information to support intelligent services such as planning, monitoring, and decision making. However, it imposes a big challenge to explore smart data from big data gathered from smart city with various advanced fusion and analysis approaches. This paper proposes an incremental tensor-based fuzzy c-means approach (IT-FCM) for obtaining smart data from continuously generated big data. Specifically, a weighted version of the tensor-based fuzzy c-means approach (T-FCM) is firstly proposed to cluster the dataset that combines the previous cluster centroids and the new generated data. Aiming to improve the clustering efficiency, the old data objects are represented by the centroids to avoid repeat clustering. Furthermore, this paper presents an edge-cloud-aided clustering scheme to fuse big data from different sources and perspectives and further to implement co-clustering on the fused datasets for exploring smart data. Finally, the proposed IT-FCM approach is evaluated by comparing with T-FCM regarding clustering accuracy and efficiency on two different datasets in the experiments. The results state that IT-FCM outperforms T-FCM in clustering streaming big data in terms of accuracy and efficiency for obtaining smart data. • An edge-cloud-aided computing system for co-clustering is presented. • An edge-cloud-aided computing system for co-clustering is presented. • Experiments are conducted to evaluate the presented approach." @default.
- W3166197191 created "2021-06-22" @default.
- W3166197191 creator A5001620599 @default.
- W3166197191 creator A5063023682 @default.
- W3166197191 date "2021-12-01" @default.
- W3166197191 modified "2023-09-29" @default.
- W3166197191 title "An edge-cloud-aided incremental tensor-based fuzzy c-means approach with big data fusion for exploring smart data" @default.
- W3166197191 cites W1128809682 @default.
- W3166197191 cites W2016420833 @default.
- W3166197191 cites W2058063871 @default.
- W3166197191 cites W2059280536 @default.
- W3166197191 cites W2077276425 @default.
- W3166197191 cites W2108859253 @default.
- W3166197191 cites W2115242586 @default.
- W3166197191 cites W2164201421 @default.
- W3166197191 cites W2167428023 @default.
- W3166197191 cites W219179425 @default.
- W3166197191 cites W2559514807 @default.
- W3166197191 cites W2592144640 @default.
- W3166197191 cites W2594788700 @default.
- W3166197191 cites W2811000347 @default.
- W3166197191 cites W2901602964 @default.
- W3166197191 cites W2911008619 @default.
- W3166197191 cites W2944135346 @default.
- W3166197191 cites W2990628747 @default.
- W3166197191 cites W3003752967 @default.
- W3166197191 cites W3045868371 @default.
- W3166197191 cites W3081926674 @default.
- W3166197191 cites W3105469237 @default.
- W3166197191 cites W3134842078 @default.
- W3166197191 cites W1980102202 @default.
- W3166197191 doi "https://doi.org/10.1016/j.inffus.2021.05.017" @default.
- W3166197191 hasPublicationYear "2021" @default.
- W3166197191 type Work @default.
- W3166197191 sameAs 3166197191 @default.
- W3166197191 citedByCount "2" @default.
- W3166197191 countsByYear W31661971912022 @default.
- W3166197191 crossrefType "journal-article" @default.
- W3166197191 hasAuthorship W3166197191A5001620599 @default.
- W3166197191 hasAuthorship W3166197191A5063023682 @default.
- W3166197191 hasConcept C111919701 @default.
- W3166197191 hasConcept C124101348 @default.
- W3166197191 hasConcept C138885662 @default.
- W3166197191 hasConcept C154945302 @default.
- W3166197191 hasConcept C155281189 @default.
- W3166197191 hasConcept C158525013 @default.
- W3166197191 hasConcept C162307627 @default.
- W3166197191 hasConcept C202444582 @default.
- W3166197191 hasConcept C33923547 @default.
- W3166197191 hasConcept C33954974 @default.
- W3166197191 hasConcept C41008148 @default.
- W3166197191 hasConcept C41895202 @default.
- W3166197191 hasConcept C58166 @default.
- W3166197191 hasConcept C75684735 @default.
- W3166197191 hasConcept C79974875 @default.
- W3166197191 hasConceptScore W3166197191C111919701 @default.
- W3166197191 hasConceptScore W3166197191C124101348 @default.
- W3166197191 hasConceptScore W3166197191C138885662 @default.
- W3166197191 hasConceptScore W3166197191C154945302 @default.
- W3166197191 hasConceptScore W3166197191C155281189 @default.
- W3166197191 hasConceptScore W3166197191C158525013 @default.
- W3166197191 hasConceptScore W3166197191C162307627 @default.
- W3166197191 hasConceptScore W3166197191C202444582 @default.
- W3166197191 hasConceptScore W3166197191C33923547 @default.
- W3166197191 hasConceptScore W3166197191C33954974 @default.
- W3166197191 hasConceptScore W3166197191C41008148 @default.
- W3166197191 hasConceptScore W3166197191C41895202 @default.
- W3166197191 hasConceptScore W3166197191C58166 @default.
- W3166197191 hasConceptScore W3166197191C75684735 @default.
- W3166197191 hasConceptScore W3166197191C79974875 @default.
- W3166197191 hasLocation W31661971911 @default.
- W3166197191 hasOpenAccess W3166197191 @default.
- W3166197191 hasPrimaryLocation W31661971911 @default.
- W3166197191 hasRelatedWork W13685908 @default.
- W3166197191 hasRelatedWork W1560115813 @default.
- W3166197191 hasRelatedWork W2072757876 @default.
- W3166197191 hasRelatedWork W2366821764 @default.
- W3166197191 hasRelatedWork W2379026336 @default.
- W3166197191 hasRelatedWork W2388110950 @default.
- W3166197191 hasRelatedWork W3114771222 @default.
- W3166197191 hasRelatedWork W3200288307 @default.
- W3166197191 hasRelatedWork W3208380362 @default.
- W3166197191 hasRelatedWork W4230642524 @default.
- W3166197191 hasVolume "76" @default.
- W3166197191 isParatext "false" @default.
- W3166197191 isRetracted "false" @default.
- W3166197191 magId "3166197191" @default.
- W3166197191 workType "article" @default.