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Predictive Spatio-Temporal Queries: A Comprehensive Survey and Future Directions ∗ Abdeltawab M. Hendawi
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Document Date: 2015-04-07 01:49:02

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Chania Crete / Istanbul / Hannover / Krakow / SIGSPATIAL GIS / Birmingham / Ayia Napa / Cancun / Bangalore / Paris / Tokyo / Philadelphia / Linearity / Berlin / Vancouver / Seoul / Beijing / Toronto / London / Mare / Aucklan / Aalborg / /

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SINA / Intelligent Transport Systems / Location-Based Services / International Journal / SP / /

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Germany / Italy / Mexico / Cyprus / New Zealand / Poland / Turkey / France / Japan / United States / Canada / Korea / United Kingdom / China / Greece / India / Denmark / /

Currency

USD / /

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Facility

University of Minnesota / /

IndustryTerm

target solution / namely query processing / predictive query processing / authenticated processing / automatic online rebuilding / ad-hoc networking / query processing techniques / road network / query processing / construction algorithms / taxi services / query processor / wireless communications / travel speed / car pooling / conventional data management systems / spatio-temporal data processing / higher concurrency processing / predictive spatiotemporal queries processing / authenticated query processing / predictive spatio-temporal queries processing / database management systems / predictive query processor / location services / traffic management / framed processing environment i.e. / data management / generic predictive query processor / location-aware devices / predictive spatio-temporal query processing / service distribution applications / cloud computing / spatio-temporal data management / /

NaturalFeature

Spatio-temporal Data Streams / /

Organization

National Science Foundation / Applied Intelligence / Society of Automotive Engineers World Congress / University of Minnesota / Minneapolis / Abdeltawab M. Hendawi Mohamed F. Mokbel Department of Computer Science and Engineering / VLDB Endowment / World Congress / Society of Automotive Engineers / Egyptian Ministry of Higher Education / /

Person

O. Wolfson / S. Chamberlain / S. Dao / Mohamed F. Mokbel / A. P. Sistla / DO / /

Position

Hybrid Prediction Model for Moving Objects / GIS General / markov model for driver turn prediction / /

Product

R1 / /

ProvinceOrState

Texas / New Jersey / Wisconsin / Maryland / Illinois / Louisiana / Michigan / Pennsylvania / California / Georgia / Arizona / Massachusetts / /

Technology

Predictive Spatio-Temporal Query Processor / construction algorithms / Optimization Existing algorithms / wireless communications / GPS / query processor / Two algorithms / mobile devices / cryptography / generic predictive query processor / predictive query processor / /

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