Research Article
Semantic Labeling of User Location Context Based on Phone Usage Features
Algorithm 1
Example: computing features related to phone calls and night stay in different data representations.
Assume that start times and durations are available for | (i) visits: and | (ii) calls: and | (iii) nights: and | visit (compute for all ) | (i) find the smallest index such that | (ii) find the largest index such that | | , | where multiplication with converts the time units to hours | places: home | (i) find set of all visit indices such that | | | cumulative sample : home (compute for all ) | Computation of for calling at home: | (i) find set of all visit indices such that | and | | Computation of for night stay at home: | | for all | if exists such that | | else if exists such that | | end for | |
|