Data mining and logic checking tools

摘要

Data mining and logic-checking tools provided by a service to a client organization enable fractal data comparison and analysis and a logic-based data derivation. The tools are configured to interface with websites which have data that typically is 1) required and missing from a client organization's database, 2) used to validate pre-existing data in a user's database, or 3) used to derive new data for a user's database. For data acquisition, the tools interface with sources of data which, typically, do not offer an application programming interface (API) for non-human access to the data. The tools may execute routines to validate the acquired data to ensure its completeness and logical accuracy as well as enrich the data with data from other sources or data that is derived from the acquired data. The processed data is organized and transformed into specified end states and routed to appropriate recipients.

主权项

1. One or more non-transitory computer-readable storage media storing instructions which, when executed by one or more processors disposed in an electronic device, implement a toolset usable by a service for data mining and logic-checking, automated tools in the toolset performing a method comprising the steps of:
interfacing with one or more website pages storing data, the website pages being arranged for human, non-machine-based interaction, a format for website pages being recognized and verified; capturing data from the website pages; parsing the captured data from the website pages; editing and validating recognized, translated, and derived data; identifying execution requirements to enrich the captured data with other data acquired from other sources; editing, validating, and logic-checking the other acquired data including validity-checking the other acquired data against global or activity-type parameters, validity-checking and logic-checking the other acquired data against date type parameters, validity-checking and logic-checking the other acquired data against input parameters or other constants, and validity-checking and logic-checking of derived data; deriving data to fill gaps of presentation data to meet requirements; executing fractal analysis and logical comparison routines related to specific activities; providing disposition of end-states; re-organizing data and transforming data into end-state formats; and formatting and routing output from the automated tools.