1. A method, comprising: determining at least one recommended action using a reasoning component having a data-driven modeling portion and a knowledge-based portion, wherein determining includes integrating one or more determination aspects determined by the data-driven modeling portion and one or more additional determination aspects determined by the knowledge-based portion; determining an effectiveness of the at least one recommended action in association with implementation of the at least one recommended action; updating data accessed by at least one of the data-driven modeling component to determine the one or more determination aspects, or the knowledge-based component to determine the one or more additional determination aspects, based at least in part upon the determination of the effectiveness of the at least one recommended action; preparing data including decision feedback for interventions and evaluation of effectiveness; and performing data clustering operations on data accessed by the data-driven modeling portion prior to determining the one or more determination aspects, the data clustering operations including: clustering data into one or more data clusters representative of one or more corresponding determination aspects; training one or more data-driven components using the one or more data clusters; and based on the training, correcting at least one data cluster.
1. A method, comprising: determining at least one recommended action using a reasoning component having a data-driven modeling portion and a knowledge-based portion, wherein determining includes integrating one or more determination aspects determined by the data-driven modeling portion and one or more additional determination aspects determined by the knowledge-based portion; determining an effectiveness of the at least one recommended action in association with implementation of the at least one recommended action; updating data accessed by at least one of the data-driven modeling component to determine the one or more determination aspects, or the knowledge-based component to determine the one or more additional determination aspects, based at least in part upon the determination of the effectiveness of the at least one recommended action; preparing data including decision feedback for interventions and evaluation of effectiveness; and performing data clustering operations on data accessed by the data-driven modeling portion prior to determining the one or more determination aspects, the data clustering operations including: clustering data into one or more data clusters representative of one or more corresponding determination aspects; training one or more data-driven components using the one or more data clusters; and based on the training, correcting at least one data cluster. 4. The method of claim 1 , further comprising: selecting at least one objective function prior to determining the at least one recommended action, and wherein determining further includes integrating the one or more determination aspects, the one or more additional determination aspects, and the at least one objective function.