SYSTEM AND PROCESS FOR ANALYZING, QUALIFYING AND INGESTING SOURCES OF UNSTRUCTURED DATA VIA EMPIRICAL ATTRIBUTION

There is provided a method that includes (a) receiving data from a data source, (b) attributing the data source in accordance with rules, thus yielding an attribute, (c) analyzing the data to identify a confounding characteristic in the data, (d) calculating a qualitative measure of the attribute, t...

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Bibliographic Details
Main Authors SUNBHANICH, Yiem, DAVIES, Robin, Fry, SCRIFFIGNANO, Anthony, J, MATTHEWS, Warwick
Format Patent
LanguageEnglish
Published 17.07.2017
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Summary:There is provided a method that includes (a) receiving data from a data source, (b) attributing the data source in accordance with rules, thus yielding an attribute, (c) analyzing the data to identify a confounding characteristic in the data, (d) calculating a qualitative measure of the attribute, thus yielding a weighted attribute, (e) calculating a qualitative measure of the confounding characteristic, thus yielding a weighted confounding characteristic, (f) analyzing the weighted attribute and the weighted confounding characteristic, to produce a disposition, (g) filtering the data in accordance with the disposition, thus yielding extracted data, and (h) transmitting the extracted data to a downstream process. There is also provided a system that executes the method, and a storage device that contains instructions for controlling a processor to perform the method.
Bibliography:Application Number: PH20171500366