Nippon telegraph and telephone corporation (20240119117). DATA ANALYSIS METHOD SELECTION DEVICE METHOD AND PROGRAM simplified abstract

DATA ANALYSIS METHOD SELECTION DEVICE METHOD AND PROGRAM

Organization Name

nippon telegraph and telephone corporation

Inventor(s)

Taizo Yamamoto of Musashino-shi, Tokyo (JP)

Takaaki Moriya of Musashino-shi, Tokyo (JP)

Manabu Nishio of Musashino-shi, Tokyo (JP)

Yu Miyoshi of Musashino-shi, Tokyo (JP)

DATA ANALYSIS METHOD SELECTION DEVICE METHOD AND PROGRAM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240119117 titled 'DATA ANALYSIS METHOD SELECTION DEVICE METHOD AND PROGRAM

Simplified Explanation

The patent application describes a device that analyzes time-series data sets using different methods to evaluate the relationship between the data sets. It then extracts combinations of sets with different trends in evaluation values, groups the analysis methods based on these values, presents the data to a user for input, scores the methods, and selects the best analysis method.

• The device analyzes time-series data sets using various methods to evaluate the relationship between them.
• It extracts combinations of sets with different trends in evaluation values.
• The device groups the analysis methods based on the evaluation values for each combination.
• It presents the data to a user for input on similar sets.
• The device scores the analysis methods and selects the best one for each set.

Potential Applications

The technology can be applied in various fields such as finance, healthcare, and manufacturing for data analysis and pattern recognition.

Problems Solved

This technology helps in efficiently analyzing and comparing time-series data sets, identifying trends, and selecting the most appropriate analysis method for each set.

Benefits

The device provides a systematic approach to analyzing time-series data, improving decision-making processes, and enhancing data-driven insights.

Potential Commercial Applications

"Time-Series Data Analysis Device for Enhanced Decision Making" can be used in financial institutions, healthcare organizations, and manufacturing companies for data analysis and predictive modeling.

Possible Prior Art

One possible prior art for this technology could be existing data analysis tools and software that perform similar functions but may not have the same level of automation and user interaction features.

Unanswered Questions

How does the device handle large volumes of time-series data sets efficiently?

The device may have limitations in processing massive amounts of data quickly and accurately, which could impact its performance in real-time applications.

What security measures are in place to protect the confidentiality and integrity of the time-series data sets?

The patent application does not specify the security protocols or encryption methods used to safeguard the data, which could be a concern for users dealing with sensitive information.

Original Abstract Submitted

a device includes: a data set including multiple sets in which two pieces of time-series data are respectively recorded; an analysis unit that obtains evaluation values representing a relationship between the two pieces by different analysis methods for each set; a combination extraction unit that extracts combinations of the sets having different trends in change in the evaluation values associated with the analysis methods; a grouping unit that classifies the analysis methods according to the evaluation values for each combination, and records results associated with the sets; an inquiry unit that presents the time-series data of each set to a user, and inquires which sets have similar time-series data; a scoring unit that adds a score of the analysis method belonging to the group having a better evaluation value for the set determined to be more similar; and a selection unit that repeats each process and selects an analysis method.