Patent Document ID: 20140280257
Application ID: 14217391
Patent Flag: 0

Claim One:
1. A computer-implemented system and general method for parallel, distributed, serialized, or chunked predictive, causal and feature selection analysis of Big Data consisting of the following steps: a. receiving as inputs a dataset D, a set of analysis modules A, and a termination criterion; b. breaking down D into n subsets Di according to a Distribution Sub-Procedure implemented in a corresponding module; c. extracting subsets of datasets Di, denoted by di from each dataset Di and used to create new enhanced datasets Di j for all datasets Di according to a Mixing Sub-Procedure that is implemented in a corresponding module; d. analyzing each dataset Di j using analysis modules implemented in analysis modules A; e. repeating step b to d according to an Iterative Enhancement Sub-Procedure that is implemented in a corresponding module) and also contains termination and performance criteria; and f. combining results from individual Di j using a Combinator Sub-Procedure, that is implemented in a corresponding module, outputting results and terminating.