System and method of detecting common patterns within unstructured data elements retrieved from big data sources
First Claim
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1. A method for detection of common patterns within unstructured data elements, comprising:
- extracting a plurality of unstructured data elements retrieved from a plurality of big data sources;
generating, by a signature generator system, at least one signature for each of the plurality of unstructured data elements, wherein the signature generator system includes a plurality of computational cores configured to receive the plurality of unstructured data elements, each computational core of the plurality of computational cores having properties that are at least partly statistically independent of other of the computational cores, the properties are set independently of each other core;
identifying common patterns among the generated signatures;
clustering the signatures identified to have common patterns; and
correlating the generated clusters to identify associations between their respective identified common patterns.
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Abstract
A method for detection of common patterns within unstructured data elements. The method includes extracting a plurality of unstructured data elements retrieved from a plurality of big data sources; generating at least one signature for each of the plurality of unstructured data elements; identifying common patterns among the generated signatures; clustering the signatures identified to have common patterns; and correlating the generated clusters to identify associations between their respective identified common patterns.
218 Citations
19 Claims
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1. A method for detection of common patterns within unstructured data elements, comprising:
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extracting a plurality of unstructured data elements retrieved from a plurality of big data sources; generating, by a signature generator system, at least one signature for each of the plurality of unstructured data elements, wherein the signature generator system includes a plurality of computational cores configured to receive the plurality of unstructured data elements, each computational core of the plurality of computational cores having properties that are at least partly statistically independent of other of the computational cores, the properties are set independently of each other core; identifying common patterns among the generated signatures; clustering the signatures identified to have common patterns; and correlating the generated clusters to identify associations between their respective identified common patterns. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system for analyzing unstructured data, comprising:
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a network interface for allowing connectivity to a plurality of big data sources; a signature generator system; a processor; and a memory connected to the processor, the memory contains instructions that when executed by the processor, configure the system to; extract a plurality of unstructured data elements retrieved from a plurality of big data sources; generate by the signature generator system at least one signature for each of the plurality of unstructured data elements, wherein the signature generator system includes a plurality of computational cores enabled to receive the plurality of unstructured data elements, each computational core of the plurality of computational cores having properties that are at least partly statistically independent of other of the computational cores, the properties are set independently of each other core; identify common patterns among the generated signatures; cluster the signatures identified to have common patterns; and correlate the generated clusters to identify associations between their respective identified common patterns. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19)
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Specification