Abstract: A system can obtain observations from a dataset. The system can generate a set of training partitions based on the observations and generate an ensemble of machine-learning models based on the set of training partitions. The system can then receive new data and detect whether the new data is indicative of the event using the ensemble. In some cases, the system can update the ensemble by providing the new data as input to an unsupervised machine-learning model that is separate from the ensemble of machine-learning models; receiving an output from the unsupervised machine-learning model indicating whether or not the new data is indicative of the event; incorporating a new observation into the dataset indicating whether or not the new data is indicative of the event based on the output from the unsupervised machine-learning model; and updating the ensemble based on the dataset with the new observation.

Abstract: A system can obtain observations from a dataset. The system can generate a set of training partitions based on the observations and generate an ensemble of machine-learning models based on the set of training partitions. The system can then receive new data and detect whether the new data is indicative of the event using the ensemble. In some cases, the system can update the ensemble by providing the new data as input to an unsupervised machine-learning model that is separate from the ensemble of machine-learning models; receiving an output from the unsupervised machine-learning model indicating whether or not the new data is indicative of the event; incorporating a new observation into the dataset indicating whether or not the new data is indicative of the event based on the output from the unsupervised machine-learning model; and updating the ensemble based on the dataset with the new observation.

Abstract: An apparatus includes a task selector to receive an indication of a database task to be performed, wherein the database task includes a set of subtasks; a source selector to receive an indication of a source device to perform the set of subtasks, and to retrieve from the source device an indication of a processing environment currently available within the source device that includes an identity and version level of a database routine of the source device; and an instruction generator to determine a set of languages able to be interpreted by the database routine based on the identity and version level, select a language of the set of languages in which to generate instructions for each subtask based on the processing environment, and generate and transmit the instructions to the source device.

Abstract: An apparatus includes a task selector to receive an indication of a database task to be performed, wherein the database task includes first and second subtasks; a source selector to receive an indication of a source device to perform the first and second subtasks, and to retrieve from the source device an indication of a processing environment currently available within the source device that includes an identity and version level of a database routine of the specified source device; and an instruction generator to determine a set of languages able to be interpreted by the database routine based on the identity and version level, determine whether to perform the first and second subtasks in parallel based on the processing environment, select a language in which to generate instructions to perform the first subtask based on the determination, and generate and transmit the instructions to the source device.

Abstract: An apparatus includes a task selector to receive an indication of a database task to be performed, wherein the database task includes a set of subtasks; a source selector to receive an indication of a source device to perform the set of subtasks, and to retrieve from the source device an indication of a processing environment currently available within the source device that includes an identity and version level of a database routine of the source device; and an instruction generator to determine a set of languages able to be interpreted by the database routine based on the identity and version level, select a language of the set of languages in which to generate instructions for each subtask based on the processing environment, and generate and transmit the instructions to the source device.

Abstract: An apparatus includes a task selector to receive an indication of a database task to be performed, wherein the database task includes first and second subtasks; a source selector to receive an indication of a source device to perform the first and second subtasks, and to retrieve from the source device an indication of a processing environment currently available within the source device that includes an identity and version level of a database routine of the specified source device; and an instruction generator to determine a set of languages able to be interpreted by the database routine based on the identity and version level, determine whether to perform the first and second subtasks in parallel based on the processing environment, select a language in which to generate instructions to perform the first subtask based on the determination, and generate and transmit the instructions to the source device.