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, MATTHEWS, WARWICK, SCRIFFIGNANO, ANTHONY, J, DAVIES, ROBIN, FRY
Format Patent
LanguageEnglish
Published 30.03.2017
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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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: SG20171101613Y