System and method for determination of causality based on big data analysis

A system for determination of a causality based on big data analysis, comprising:

• an interface to a network for connecting to a plurality of big data sources;
• a processor;
• 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 from a plurality of unstructured big data sources;
• generate at least one signature for each of the plurality of unstructured data elements;
• identify at least one common pattern within the signatures of the plurality of unstructured data elements;
• match the at least one common pattern to at least one hypothesis by comparing at least one signature of the common pattern to at least one hypothesis;
• and
• determine the causality of the at least one common pattern based on the at least one hypothesis matching the at least one common pattern.

A method for determining a probability of a hypothesis based on big data analysis, comprising:

• receiving a request to check the probability of a hypothesis a hypothesizes;
• generating at least one signature to the hypotheses;
• crawling through a plurality of relevant big data sources to detect unstructured data elements;
• generating at least one signature for each detected unstructured data element;
• and
• determining the probability of the hypothesis respective of the generated signatures.