US Patent Application 18216245. DATA ANALYSIS APPARATUS, DATA ANALYSIS SYSTEM, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM simplified abstract

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DATA ANALYSIS APPARATUS, DATA ANALYSIS SYSTEM, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM

Organization Name

Mitsubishi Electric Corporation


Inventor(s)

Yoshihiro Mitsuka of Tokyo (JP)


Yoshikuni Miyata of Tokyo (JP)


Motofumi Awa of Tokyo (JP)


Ryosuke Sakai of Tokyo (JP)


DATA ANALYSIS APPARATUS, DATA ANALYSIS SYSTEM, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM - A simplified explanation of the abstract

  • This abstract for appeared for US patent application number 18216245 Titled 'DATA ANALYSIS APPARATUS, DATA ANALYSIS SYSTEM, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM'

Simplified Explanation

The abstract describes a data analysis apparatus that analyzes information systems by acquiring series data consisting of character strings and numerical values. The apparatus classifies the elements of the series data into different classes and outputs the data with classification values. It then integrates the data with classification values for both character strings and numerical values into one piece of series data. Finally, it detects frequent patterns, which are combinations of elements that occur frequently, using the integrated data.


Original Abstract Submitted

A data analysis apparatus performs to acquire series data having character strings related to an information system to be analyzed as elements and series data having numerical values indicating a state of a device constituting the information system as elements, each of the series data having an index that enables comparison of element order relations within series and between series, classify the elements of each piece of the series data into classification classes, and output series data having classification values indicating classification classes as elements, integrate series data having classification values of the character strings as elements and series data having classification values of the numerical values as elements into one piece of series data, and detect an occurrence of a frequent pattern which is a combination of frequently occurring elements, using the one piece of series data obtained through integration.