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A modular context prediction architecture
Results and studies on context prediction
Context prediction algorithms
adapt alignment application approach architecture ARMA assume authors basic changes computing concepts consequently considered contains context abstraction level context data context elements context history context interpretation context patterns context prediction accuracy context prediction scheme context prediction tasks context processing context sources context time series context-aware correct deﬁnition describe developed devices diﬀerent dimension discussion distinct environment error event example ﬁgure ﬁrst further future given high-level context prediction higher impact implementation increasing input introduced learning length low-level context prediction Markov measured method minutes mobile modules observed context obtained occurs operations output Pacq possible prediction approach prediction horizon present probability problem processing proposed represents requirements rule base sampling sampling interval scenarios search space sensors sequence series elements similar simulation step thesis tion typical ubiquitous computing utilised values various varying vector