Tutorial on Spatial and Spatio-Temporal Data Mining Part II ... - UFSC

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Semantic Trajectories - MotivationTrajectory Samples (x,y,t)Geographic DataGeographic Data +Trajectory Data =Semantic TrajectoriesThe Model of Stops and Moves (Spaccapietra 2008)STOPSImportant parts of trajectoriesWhere the moving object has stayed for aminimal amount of timeStops are application dependentTourism application– Hotels, touristic places, airport, Traffic Management Application– Traffic lights, roundabouts, big eventsMOVESAre the parts that are not stops
Semantic TrajectoriesA semantic trajectory is a set of stops and movesStops have a place, a start time and an end timeMoves are characterized by two consecutive stopsMethods for Adding Semantics to TrajectoriesPre-processing Single Trajectories
Page 1 and 2: Tutorial on Spatia
Page 3 and 4: The Wireless A Explosão Explosion
Page 5 and 6: Mobility Data AnalysisAnimal Migrat
Page 7 and 8: Trajectories: Overall Characteristi
Page 9 and 10: Mining Trajectories : Frequent patt
Page 11 and 12: Geometry-based Trajectory Data Mini
Page 13 and 14: Relative Motion Patterns (Laube 200
Page 15 and 16: Co-Location Patterns (Cao 2006)Co-l
Page 17 and 18: T-Patterns (Giannotti, 2007)Sequent
Page 19 and 20: TraClass Algorithm (Lee 2008)Two ma
Page 21 and 22: TraClass Algorithm (Lee 2008)Second
Page 23 and 24: TraOD - Trajectory Outlier Detectio
Page 25 and 26: SummaryThese data mining approaches
Page 27 and 28: Semantic-based Spatio-temporal Data
Page 29: DJ-Cluster (Zhou 2007)DJ-Cluster is
Page 33 and 34: IB-SMoT (Alvares 2007a)A stop of a
Page 35 and 36: CB-SMoT: Speed-based clustering (Pa
Page 37 and 38: Semantic Rich Trajectories (Transpo
Page 39 and 40: STOPS at Multiple-Granularities (Bo
Page 41 and 42: Multiple-Granularity Semantic Traje
Page 43 and 44: Weka-STDMWeka-STDM
Page 45 and 46: Athena (Baglioni 2009)Semantic-rich
Page 47 and 48: Pattern Interpretation (Rebeca 2010
Page 49 and 50: ReferencesManso, J. A. ; TIMES, V.
Page 51 and 52: Challenges and Open Issues in Spati

Tutorial on Spatial and Spatio-Temporal Data Mining Part II ... - UFSC

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