Expert System And Data Analysis Tool Utilizing Data As A Concept

Abstract

Work data flow, a step-by-step procedure by which data is manipulated in order to analyze the actual data, resulting from user requests is created by interactions with one or more representations of a domain-specific language. The domain-specific language features a full typing system and language compiler. The full typing system and language compiler is a functional expression language and all representations of which are isomorphic. User interactions with the domain-specific language result in a query generator thereby creating an execution plan represented by an abstract syntax tree.

Description

PRIORITY[0001]This application is a continuation-in-part of U.S. patent application Ser. No. 14 / 934,246, filed Nov. 6, 2015, which claims priority to U.S. Provisional 62 / 084,430, now expired, both of which are hereby incorporated by reference as if submitted in their entireties.FIELD OF THE INVENTION[0002]The present invention relates to data as a concept and related systems and methods, and, more particularly, various embodiments of the present application relate to systems and methods allowing for the creation of dynamic data relationships.[0003]Various embodiments of the present application relate to systems and methods allowing for the creation of dynamic data relationships and utilizing data as a concept normalization algorithms, tracking analysis of the data, and visualizing the analyzed data.BACKGROUND[0004]Data analysis experts that are tasked with analyzing big data sets (e.g. to build complex predictive models) do not always have domain expertise to know the goals of data ...

AI Technical Summary

Benefits of technology

The present invention is a software tool that allows for the aggregation, reconciliation, analysis, and visualization of big data. The tool can automatically learn concepts and relationships within data sets, making analysis easier for data analysis experts. It can be used in various industries and can be easily integrated with other tools and platforms. The tool can also be used to capture user-defined relationships between data sets and perform custom analysis. It simplifies data analysis by learning from user-defined concepts and relationships, and offers seamless interfaces to users. The tool can also be used to visualize data by creating dynamic graphs andcharts, and to automate analysis on different data types. Overall, the tool provides a flexible and efficient way to analyze and make sense of big data.

Problems solved by technology

Data analysis experts that are tasked with analyzing big data sets (e.g. to build complex predictive models) do not always have domain expertise to know the goals of data analysis and what measurements to take relating to the data sets.

Images