Abstract: A computer-implemented method includes a machine learning system receiving distinct types of data associated with multiple individual entities. For each of the individual entities, the machine learning system determines a first attribute that indicates a predicted attribute of the entity based on analysis of the data. The machine learning system also determines a second attribute that indicates a predicted quality attribute of the entity, based on analysis of the data. An attribute weighting module of the machine learning system generates weight values for each of the first attribute and the second attribute of the entity. The machine learning system generates a data structure that identifies a set of entities from among the multiple individual entities, where entities of the set are ranked based on a tier indicator that corresponds to either the first attribute, the second attribute, or both.

Abstract: A computer-implemented method includes a machine learning system receiving distinct types of data associated with multiple individual entities. For each of the individual entities, the machine learning system determines a first attribute that indicates a predicted attribute of the entity based on analysis of the data. The machine learning system also determines a second attribute that indicates a predicted quality attribute of the entity, based on analysis of the data. An attribute weighting module of the machine learning system generates weight values for each of the first attribute and the second attribute of the entity. The machine learning system generates a data structure that identifies a set of entities from among the multiple individual entities, where entities of the set are ranked based on a tier indicator that corresponds to either the first attribute, the second attribute, or both.

Abstract: An electronic document management system converts documents into electronic images which can be sequentially routed to individual users in a network system. The network system includes at least two work nodes for processing the documents where one of the nodes is a data entry work node. The documents are subdivided into two or more subdivisions which are classified by subdivision type. The images are routed through the network system according to predefined routing schemes based on its subdivision type. The routing scheme for the documents includes at least one data entry node where data contained in the document is entered into a database. As the data is entered into the database, it is dynamically linked with its corresponding image which is also stored in the network.