FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2085526468> ?p ?o ?g. }

• W2085526468 endingPage "79" @default.
• W2085526468 startingPage "63" @default.
• W2085526468 abstract "The increasing use of location-aware devices provides many opportunities for analyzing and mining human mobility. The trajectory of a person can be represented as a sequence of visited locations with different timestamps. Storing, sharing, and analyzing personal trajectories may pose new privacy threats. Previous studies have shown that employing traditional privacy models and anonymization methods often leads to low information quality in the resulting data. In this paper we propose a method for achieving anonymity in a trajectory database while preserving the information to support effective passenger flow analysis. Specifically, we first extract the passenger flowgraph, which is a commonly employed representation for modeling uncertain moving objects, from the raw trajectory data. We then anonymize the data with the goal of minimizing the impact on the flowgraph. Extensive experimental results on both synthetic and real-life data sets suggest that the framework is effective to overcome the special challenges in trajectory data anonymization, namely, high dimensionality, sparseness, and sequentiality." @default.
• W2085526468 created "2016-06-24" @default.
• W2085526468 creator A5021788449 @default.
• W2085526468 creator A5053453125 @default.
• W2085526468 creator A5083902647 @default.
• W2085526468 creator A5087550321 @default.
• W2085526468 date "2014-02-01" @default.
• W2085526468 modified "2023-10-04" @default.
• W2085526468 title "Anonymizing trajectory data for passenger flow analysis" @default.
• W2085526468 cites W1530953671 @default.
• W2085526468 cites W1606909344 @default.
• W2085526468 cites W1979005794 @default.
• W2085526468 cites W1981398125 @default.
• W2085526468 cites W1983958448 @default.
• W2085526468 cites W1985986451 @default.
• W2085526468 cites W1988287322 @default.
• W2085526468 cites W1992263322 @default.
• W2085526468 cites W2000646855 @default.
• W2085526468 cites W2004786374 @default.
• W2085526468 cites W2010362518 @default.
• W2085526468 cites W2012580531 @default.
• W2085526468 cites W2015569667 @default.
• W2085526468 cites W2025483242 @default.
• W2085526468 cites W2028113911 @default.
• W2085526468 cites W2041371070 @default.
• W2085526468 cites W2044985623 @default.
• W2085526468 cites W2072957930 @default.
• W2085526468 cites W2077179394 @default.
• W2085526468 cites W2079657950 @default.
• W2085526468 cites W2084012970 @default.
• W2085526468 cites W2086975263 @default.
• W2085526468 cites W2091700708 @default.
• W2085526468 cites W2093099348 @default.
• W2085526468 cites W2096558825 @default.
• W2085526468 cites W2100921307 @default.
• W2085526468 cites W2106303673 @default.
• W2085526468 cites W2108215372 @default.
• W2085526468 cites W2110707662 @default.
• W2085526468 cites W2116492759 @default.
• W2085526468 cites W2116581216 @default.
• W2085526468 cites W2117543079 @default.
• W2085526468 cites W2118944554 @default.
• W2085526468 cites W2119997159 @default.
• W2085526468 cites W2123453946 @default.
• W2085526468 cites W2132223977 @default.
• W2085526468 cites W2134167315 @default.
• W2085526468 cites W2134842648 @default.
• W2085526468 cites W2135581534 @default.
• W2085526468 cites W2136114025 @default.
• W2085526468 cites W2142406320 @default.
• W2085526468 cites W2142922715 @default.
• W2085526468 cites W2158037536 @default.
• W2085526468 cites W2166270001 @default.
• W2085526468 cites W2172259243 @default.
• W2085526468 cites W2293703278 @default.
• W2085526468 cites W2911978475 @default.
• W2085526468 doi "https://doi.org/10.1016/j.trc.2013.12.003" @default.
• W2085526468 hasPublicationYear "2014" @default.
• W2085526468 type Work @default.
• W2085526468 sameAs 2085526468 @default.
• W2085526468 citedByCount "41" @default.
• W2085526468 countsByYear W20855264682014 @default.
• W2085526468 countsByYear W20855264682016 @default.
• W2085526468 countsByYear W20855264682017 @default.
• W2085526468 countsByYear W20855264682018 @default.
• W2085526468 countsByYear W20855264682019 @default.
• W2085526468 countsByYear W20855264682020 @default.
• W2085526468 countsByYear W20855264682021 @default.
• W2085526468 countsByYear W20855264682022 @default.
• W2085526468 countsByYear W20855264682023 @default.
• W2085526468 crossrefType "journal-article" @default.
• W2085526468 hasAuthorship W2085526468A5021788449 @default.
• W2085526468 hasAuthorship W2085526468A5053453125 @default.
• W2085526468 hasAuthorship W2085526468A5083902647 @default.
• W2085526468 hasAuthorship W2085526468A5087550321 @default.
• W2085526468 hasConcept C113954288 @default.
• W2085526468 hasConcept C121332964 @default.
• W2085526468 hasConcept C124101348 @default.
• W2085526468 hasConcept C1276947 @default.
• W2085526468 hasConcept C132964779 @default.
• W2085526468 hasConcept C13662910 @default.
• W2085526468 hasConcept C17744445 @default.
• W2085526468 hasConcept C199360897 @default.
• W2085526468 hasConcept C199539241 @default.
• W2085526468 hasConcept C2776359362 @default.
• W2085526468 hasConcept C41008148 @default.
• W2085526468 hasConcept C79403827 @default.
• W2085526468 hasConcept C94625758 @default.
• W2085526468 hasConceptScore W2085526468C113954288 @default.
• W2085526468 hasConceptScore W2085526468C121332964 @default.
• W2085526468 hasConceptScore W2085526468C124101348 @default.
• W2085526468 hasConceptScore W2085526468C1276947 @default.
• W2085526468 hasConceptScore W2085526468C132964779 @default.
• W2085526468 hasConceptScore W2085526468C13662910 @default.
• W2085526468 hasConceptScore W2085526468C17744445 @default.
• W2085526468 hasConceptScore W2085526468C199360897 @default.
• W2085526468 hasConceptScore W2085526468C199539241 @default.
• W2085526468 hasConceptScore W2085526468C2776359362 @default.

• next