Gabor Szabo

Title: Gabor Szabo - Innovator in Time Series Data Analysis

Introduction

Gabor Szabo is a notable inventor based in Dublin, Ireland, recognized for his contributions to the field of data analysis, particularly in the realm of time series data. With a strong focus on improving insights through innovative methodologies, Gabor has made significant strides in automating frequency recommendations.

Latest Patents

Gabor holds a patent titled "Automatic frequency recommendation for time series data." This invention outlines systems, software, and methods that enable the automatic recommendation of one or more frequencies for time series data. The patented method involves receiving a request for insight analysis for an input time series within a dataset. Gabor's approach transforms the input time series into frequency time series for multiple frequencies, calculating an absolute percentage change impact factor and an absolute trend impact factor for each. Based on these factors, a frequency interest score is generated, enriching the analysis of frequency time series.

Career Highlights

Gabor Szabo is currently associated with Business Objects Software Limited, where he applies his expertise in data analysis and innovative product development. His dedication to advancing technology in data science is evident in his professional achievements and continued research in the field.

Collaborations

Throughout his career, Gabor has collaborated with notable professionals in the industry, including Paul O'Hara and Ying Wu. This teamwork reflects the synergy and collective effort towards enhancing data analytical solutions and innovation.

Conclusion

Gabor Szabo's pioneering work in automatic frequency recommendation is a testament to his innovative spirit and dedication to advancing technology in data analysis. With one patent to his name and a promising career at Business Objects Software Limited, he continues to influence the field and inspire future inventors.