Company Filing History:
Years Active: 2008
Title: Youichi Kitahara: Innovator in Sequential Data Analysis
Introduction
Youichi Kitahara is a notable inventor based in Fuchu, Japan. He has made significant contributions to the field of data analysis, particularly in the extraction of sequential patterns from complex datasets. With a total of 2 patents, Kitahara's work has advanced the understanding and application of time-series data analysis.
Latest Patents
Kitahara's latest patents include a "Sequential Pattern Extracting Apparatus" and a "Time-Series Data Analyzing Apparatus." The Sequential Pattern Extracting Apparatus focuses on constraining sequential data to specify the patterns that need to be extracted. It involves determining a set of sequential pattern candidates from various input data and generating new candidates by elongating the sequence length. This innovative approach eliminates candidates that do not meet the specified constraints, allowing for the extraction of relevant sequential patterns.
The Time-Series Data Analyzing Apparatus is designed to extract composite factor time-series patterns from time-series data. It divides the data into two categories: pattern generation and pattern inspection. The apparatus generates transitional patterns and computes the cause-and-effect strength of frequently appearing integrated transitional patterns. This enables the display of significant patterns based on predefined strength criteria.
Career Highlights
Youichi Kitahara is associated with Kabushiki Kaisha Toshiba, a leading technology company. His work at Toshiba has allowed him to explore and develop advanced technologies in data analysis. His innovative patents reflect his commitment to enhancing the capabilities of data processing and analysis.
Collaborations
Throughout his career, Kitahara has collaborated with notable colleagues, including Ken Ueno and Ryohei Orihara. These collaborations have contributed to the development of his innovative ideas and patents.
Conclusion
Youichi Kitahara's contributions to the field of data analysis through his patents demonstrate his expertise and innovative spirit. His work continues to influence the way sequential and time-series data are analyzed, paving the way for future advancements in technology.