Abstract: Machine logic (for example, software) for estimating how much time it will take to find a parking space for a vehicle at a destination. The machine logic rules request historical data to initially train a machine learning algorithm for estimating how much time it will take to find a parking space, and then estimates how long it will take to find a parking space when provided with a set of parking factors for an intended destination and route.

Abstract: Embodiments include methods, systems and computer program products for determining a safe driving speed for a vehicle. Aspects include obtaining a location and a direction of travel of the vehicle, obtaining one or more operating conditions of the vehicle, and obtaining historical accident data that corresponds to the location of the vehicle under operating conditions that are similar to the one or more conditions of the vehicle. Aspects also include analyzing, by a processor, the historical accident data to identify the safe driving speed for the vehicle, wherein the safe driving speed is determined to be a maximum speed that is associated with maximum acceptable risk of an accident and causing an indication of the safe driving speed to be displayed to an operator of the vehicle.

Abstract: Embodiments of the invention are directed to methods and systems for detecting incompatibilities in a computer system. The method includes logging incoming requests to a target component; receiving changes to the target component; analyzing the changed target component; performing a simulation to determine the compatibility of the target component with respect to one or more other components, and upon the finding of an incompatibility causing a notification.

Abstract: Embodiments of the invention include method, systems and computer program products for using a target similarity calculation to identify relevant content in a corpus of documents or records. The computer-implemented method includes creating, by a processor, a term frequency (TF) list for one or more documents of a corpus. The processor calculates an inverse document frequency (IDF) for each listed term. The processor calculates a TF-IDF for each listed term. The processor determines a similarity ranking for one or more documents of the corpus using a target similarity calculation using the TF-IDF for each listed term.

Abstract: Embodiments of the invention are directed to methods and systems for detecting incompatibilities in a computer system. The method includes logging incoming requests to a target component; receiving changes to the target component; analyzing the changed target component; performing a simulation to determine the compatibility of the target component with respect to one or more other components, and upon the finding of an incompatibility causing a notification.

Abstract: Machine logic (for example, software) for estimating how much time it will take to find a parking space for a vehicle at a destination. The machine logic rules request historical data to initially train a machine learning algorithm for estimating how much time it will take to find a parking space, and then estimates how long it will take to find a parking space when provided with a set of parking factors for an intended destination and route.

Abstract: Embodiments of the invention include method, systems and computer program products for using a target similarity calculation to identify relevant content in a corpus of documents or records. The computer-implemented method includes creating, by a processor, a term frequency (TF) list for one or more documents of a corpus. The processor calculates an inverse document frequency (IDF) for each listed term. The processor calculates a TF-IDF for each listed term. The processor determines a similarity ranking for one or more documents of the corpus using a target similarity calculation using the TF-IDF for each listed term.

Abstract: Embodiments include methods, systems and computer program products for determining a safe driving speed for a vehicle. Aspects include obtaining a location and a direction of travel of the vehicle, obtaining one or more operating conditions of the vehicle, and obtaining historical accident data that corresponds to the location of the vehicle under operating conditions that are similar to the one or more conditions of the vehicle. Aspects also include analyzing, by a processor, the historical accident data to identify the safe driving speed for the vehicle, wherein the safe driving speed is determined to be a maximum speed that is associated with maximum acceptable risk of an accident and causing an indication of the safe driving speed to be displayed to an operator of the vehicle.