Matches in SemOpenAlex for { <https://semopenalex.org/work/W2134777102> ?p ?o ?g. }
Showing items 1 to 67 of
67
with 100 items per page.
- W2134777102 abstract "Due to the advances in remote sensing and sensor networks, different types of dynamic and spatio-temporal datasets become increasingly available. Extracting spatial and temporal patterns from such datasets is very important as it has many applications, such as understanding climate change, geo-targeting, and environment protection. Traditional clustering techniques are inefficient in clustering spatio-temporal data because they do not incorporate the idiosyncrasies of the spatial domain and temporal domain, and do not consider interactions between the two domains. In the presented dissertation research, novel spatio-temporal clustering algorithms and frameworks will be investigated, and post-processing analysis techniques will be developed which visualize and characterize the obtained clusters. The second goal of the dissertation research is to apply the framework to challenging problems of our society while evaluating the proposed algorithms and frameworks and making contributions to their solution. Namely, traffic fatality and air pollution datasets will be used for this purpose. We also present preliminary work in which two spatio-temporal clustering algorithms called ST-SSN and ST-SEP-SSN were evaluated in a case study involving ozone pollution events in the Houston-Galveston-Brazoria (HGB) area, providing a motivation for the planned dissertation research." @default.
- W2134777102 created "2016-06-24" @default.
- W2134777102 creator A5005359731 @default.
- W2134777102 creator A5056584154 @default.
- W2134777102 date "2014-11-04" @default.
- W2134777102 modified "2023-10-16" @default.
- W2134777102 title "Novel clustering and analysis techniques for mining spatio-temporal data" @default.
- W2134777102 cites W1821242282 @default.
- W2134777102 cites W1971022913 @default.
- W2134777102 cites W1977942363 @default.
- W2134777102 cites W1993041190 @default.
- W2134777102 cites W2002151188 @default.
- W2134777102 cites W2003398197 @default.
- W2134777102 cites W2003604830 @default.
- W2134777102 cites W2023706795 @default.
- W2134777102 cites W2023846135 @default.
- W2134777102 cites W2027592990 @default.
- W2134777102 cites W2047216628 @default.
- W2134777102 cites W2060346657 @default.
- W2134777102 cites W2068761245 @default.
- W2134777102 cites W2093038664 @default.
- W2134777102 cites W2151573792 @default.
- W2134777102 doi "https://doi.org/10.1145/2694859.2694865" @default.
- W2134777102 hasPublicationYear "2014" @default.
- W2134777102 type Work @default.
- W2134777102 sameAs 2134777102 @default.
- W2134777102 citedByCount "3" @default.
- W2134777102 countsByYear W21347771022017 @default.
- W2134777102 countsByYear W21347771022018 @default.
- W2134777102 crossrefType "proceedings-article" @default.
- W2134777102 hasAuthorship W2134777102A5005359731 @default.
- W2134777102 hasAuthorship W2134777102A5056584154 @default.
- W2134777102 hasConcept C119857082 @default.
- W2134777102 hasConcept C124101348 @default.
- W2134777102 hasConcept C134306372 @default.
- W2134777102 hasConcept C2522767166 @default.
- W2134777102 hasConcept C33923547 @default.
- W2134777102 hasConcept C36503486 @default.
- W2134777102 hasConcept C41008148 @default.
- W2134777102 hasConcept C73555534 @default.
- W2134777102 hasConcept C77277458 @default.
- W2134777102 hasConceptScore W2134777102C119857082 @default.
- W2134777102 hasConceptScore W2134777102C124101348 @default.
- W2134777102 hasConceptScore W2134777102C134306372 @default.
- W2134777102 hasConceptScore W2134777102C2522767166 @default.
- W2134777102 hasConceptScore W2134777102C33923547 @default.
- W2134777102 hasConceptScore W2134777102C36503486 @default.
- W2134777102 hasConceptScore W2134777102C41008148 @default.
- W2134777102 hasConceptScore W2134777102C73555534 @default.
- W2134777102 hasConceptScore W2134777102C77277458 @default.
- W2134777102 hasLocation W21347771021 @default.
- W2134777102 hasOpenAccess W2134777102 @default.
- W2134777102 hasPrimaryLocation W21347771021 @default.
- W2134777102 hasRelatedWork W1999627569 @default.
- W2134777102 hasRelatedWork W2011335679 @default.
- W2134777102 hasRelatedWork W2025181711 @default.
- W2134777102 hasRelatedWork W2348097614 @default.
- W2134777102 hasRelatedWork W2380998760 @default.
- W2134777102 hasRelatedWork W2623347760 @default.
- W2134777102 hasRelatedWork W2768915865 @default.
- W2134777102 hasRelatedWork W2783504828 @default.
- W2134777102 hasRelatedWork W2981530887 @default.
- W2134777102 hasRelatedWork W763609066 @default.
- W2134777102 isParatext "false" @default.
- W2134777102 isRetracted "false" @default.
- W2134777102 magId "2134777102" @default.
- W2134777102 workType "article" @default.