Abstract: The subject innovation provides for systems and methods to facilitate weighted suffix tree clustering. Conventional suffix tree cluster models can be augmented by incorporating quality measures to facilitate improved performance. Further the quality measure can be employed in determining cluster labels that show improvements in accuracy over conventional means. Additionally “stopnodes” can be defined to facilitate traversing suffix tree models efficiently. Quality measurements can be determined based in part on weighting factors applied to terms in a vector model, said terms being mapped from a suffix tree model.

Abstract: Facilitation of monitoring and analysis of user motion is performed to facilitate detecting when a user has fallen. A device can comprise a housing configured to attach to a body part of a human, a sensor module configured to capture motion data corresponding to motion of an object to which the device is attached, and a communication module configured to communicatively couple the sensor module to another device and transmit the motion data to the other device, wherein the motion data is configured to be analyzed by the other device to determine a type of the motion of the object, and in response to a determination that the type of motion is a falling motion, the other device is configured to activate a notification mechanism to notify an entity that the human has fallen.

Abstract: Facilitation of monitoring and analysis of user motion is performed to facilitate detecting when a user has fallen. A device can comprise a housing configured to attach to a body part of a human, a sensor module configured to capture motion data corresponding to motion of an object to which the device is attached, and a communication module configured to communicatively couple the sensor module to another device and transmit the motion data to the other device, wherein the motion data is configured to be analyzed by the other device to determine a type of the motion of the object, and in response to a determination that the type of motion is a falling motion, the other device is configured to activate a notification mechanism to notify an entity that the human has fallen.

Abstract: The subject innovation provides for systems and methods to facilitate weighted suffix tree clustering. Conventional suffix tree cluster models can be augmented by incorporating quality measures to facilitate improved performance. Further the quality measure can be employed in determining cluster labels that show improvements in accuracy over conventional means. Additionally “stopnodes” can be defined to facilitate traversing suffix tree models efficiently. Quality measurements can be determined based in part on weighting factors applied to terms in a vector model, said terms being mapped from a suffix tree model.

Abstract: The subject innovation provides for systems and methods to facilitate weighted suffix tree clustering. Conventional suffix tree cluster models can be augmented by incorporating quality measures to facilitate improved performance. Further the quality measure can be employed in determining cluster labels that show improvements in accuracy over conventional means. Additionally “stopnodes” can be defined to facilitate traversing suffix tree models efficiently. Quality measurements can be determined based in part on weighting factors applied to terms in a vector model, said terms being mapped from a suffix tree model.

Abstract: The subject innovation provides for systems and methods to facilitate weighted suffix tree clustering. Conventional suffix tree cluster models can be augmented by incorporating quality measures to facilitate improved performance. Further the quality measure can be employed in determining cluster labels that show improvements in accuracy over conventional means. Additionally “stopnodes” can be defined to facilitate traversing suffix tree models efficiently. Quality measurements can be determined based in part on weighting factors applied to terms in a vector model, said terms being mapped from a suffix tree model.