Abstract: Mapping through crowdsourcing includes determining, using a processor, segments for a plurality of trajectories, wherein each trajectory includes radio frequency (RF) data from a communication device, determining, using the processor, RF features for the segments, and forming, using the processor, clusters of the segments according to the RF features. One or more routes of a map are generated from the clusters using the processor.

Abstract: Providing sequential behavior-based content may include detecting, using a processor, an event sequence involving at least one device of a user, wherein the event sequence includes a current event and a prior event, correlating, using the processor, the event sequence with a frequent sequential pattern selected from a plurality of frequent sequential patterns associated with the user, and predicting, using the processor, a next event for the user according to a plurality of ordered events specified by the selected frequent sequential pattern. Responsive to predicting the next event, content relating to the next event may be provided to the device using the processor.

Abstract: Mapping through crowdsourcing includes determining, using a processor, segments for a plurality of trajectories, wherein each trajectory includes radio frequency (RF) data from a communication device, determining, using the processor, RF features for the segments, and forming, using the processor, clusters of the segments according to the RF features. One or more routes of a map are generated from the clusters using the processor.

Abstract: Mapping through crowdsourcing includes determining, using a processor, segments for a plurality of trajectories, wherein each trajectory includes radio frequency (RF) data from a communication device, determining, using the processor, RF features for the segments, and forming, using the processor, clusters of the segments according to the RF features. One or more routes of a map are generated from the clusters using the processor.

Abstract: Providing sequential behavior-based content may include detecting, using a processor, an event sequence involving at least one device of a user, wherein the event sequence includes a current event and a prior event, correlating, using the processor, the event sequence with a frequent sequential pattern selected from a plurality of frequent sequential patterns associated with the user, and predicting, using the processor, a next event for the user according to a plurality of ordered events specified by the selected frequent sequential pattern. Responsive to predicting the next event, content relating to the next event may be provided to the device using the processor.

Abstract: Mapping through crowdsourcing includes determining, using a processor, segments for a plurality of trajectories, wherein each trajectory includes radio frequency (RF) data from a communication device, determining, using the processor, RF features for the segments, and forming, using the processor, clusters of the segments according to the RF features. One or more routes of a map are generated from the clusters using the processor.