Abstract: A computer system, method, and program product for registering sensors, includes an interface to receive a query (Q) related to a specific event for a target system state associated with a specific activity pattern. A decomposer decomposes the query (Q) into semantic expressions (QSe1,QSe2) describing the target system state, and identifies a database entry associated with a semantic expression from the decomposition. A retriever retrieves behavioral data corresponding to the identified database entry, including dependencies between elements that describe the specific activity pattern. The specific activity pattern is associated with multiple activity data structures. A registration component registers a sensor (S1,S3,S4), assigned to the activity data structures.

Abstract: A computer-implemented method, computer program product, and systems for event detection. The computer system for event detection includes an interface component configured to receive data entries from a social media data storage wherein the data entries have associated time values and location values. The received data entries are stored in a data storage component. A cluster creator of a clustering component can create a cluster with cluster data entries wherein the cluster data entries are received data entries having time values within a range of a time interval and having location values within a range of a location interval. A cluster evaluator can then determine a cluster value for the cluster by computing an event-specific cluster feature vector as input to a machine learning algorithm wherein the machine learning algorithm calculates the cluster value. If the cluster value exceeds an event detection threshold value an event is detected.