Abstract: Apparatus and methods for intelligently classifying unclassified transactions are provided. A program may receive a set of transaction data. The program may divide the set into a training set of classified transactions and a test set of unclassified transactions. The program may analyze the training set to generate a document term matrix. The program may analyze the test set and compare the analyzed terms to the document term matrix to predict a classification. The program may iterate to a pre-determined level of confidence in the prediction and assign a classification to a particular transaction.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for selectively coalescing stop locations of route options in a dynamic transportation matching system. In one or more embodiments, the coalescing controller system generates route scores for driving route options, including route scores for an optimal non-coalesced driving route option and a coalesced driving route option. In some embodiments, the route score can include a driving score, a walking score, and a coalescing factor. Based on the route scores, the coalescing controller system can determine to coalesce stop locations. For example, if the route score of the coalesced driving route option is lower than the non-coalesced driving route option, the coalescing controller system can determine to coalesce stop locations in accordance with the coalesced driving route option.

Abstract: This disclosure describes a pickup location determination system that determines a pickup location for a received transportation request by filtering out door points based on various factors and by utilizing a pickup location model to select a pickup location from the filtered door points. For example, the disclosed systems generate door points relative to intersection points within a request radius of a request location associated with a received transportation request. The disclosed systems generate potential pickup locations by filtering out door points that are impractical and/or inefficient based on proximity to other door points, locations relative to venues, locations relative to side streets, and/or locations between parallel road segments (e.g., medians). The disclosed systems further utilize a pickup location model to select a pickup location from the potential pickup locations.

Abstract: The present invention pertains to a computerized system and method that provides for the secure storage and retrieval of electronic digital information; and, more particularly, to such a computerized system and method that provides for multiple access levels of such secure information; provides for secure access to portions of secure information dependent upon access privileges of the authorized user; provides virtually limitless data expansion capabilities; and provides for rapid access to such secure information by authorized users.

Abstract: The present invention pertains to a computerized system and method that provides for the secure storage and retrieval of electronic digital healthcare information; and, more particularly, to such a computerized system and method that provides for multiple access levels of such secure information; provides for secure access to portions of secure information dependent upon access privileges of the authorized user; provides virtually limitless data expansion capabilities; and provides for rapid access to such secure information by authorized users.