Frank Beekmann

Title: Frank Beekmann: Innovator in Data Mining Technologies

Introduction

Frank Beekmann is a notable inventor based in Erkrath, Germany. He has made significant contributions to the field of data mining, particularly in the area of multivariate estimation analysis. With a total of 2 patents, Beekmann's work has advanced the methodologies used for determining association rules within large datasets.

Latest Patents

Beekmann's latest patents include a "Method of multivariate estimation analysis and sampling for data mining" and a "Sampling approach for data mining of association rules." The first patent describes a data mining method for determining association rules within a multitude of N transactions, where each transaction includes up to p different items. This method computes a sample size n based on precision requirements, ensuring that n is at least an estimated sample size n*. The second patent focuses on a similar data mining technology, emphasizing the importance of selecting an appropriate sample size n to compute association rules effectively.

Career Highlights

Frank Beekmann is currently employed at International Business Machines Corporation (IBM), where he continues to innovate in the field of data mining. His work has been instrumental in developing technologies that enhance the efficiency and accuracy of data analysis.

Collaborations

Beekmann has collaborated with notable colleagues such as Roland Grund and Andreas Rudolph. These partnerships have contributed to the advancement of his research and the successful implementation of his patented technologies.

Conclusion

Frank Beekmann's contributions to data mining and his innovative patents reflect his expertise and commitment to advancing technology in this field. His work continues to influence the way data is analyzed and understood in various applications.