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Title: The Innovations of Elke Angelika Rundensteiner
Introduction
Elke Angelika Rundensteiner is a prominent inventor based in Acton, MA (US). She has made significant contributions to the field of computer science, particularly in the area of complex event processing. With a total of 5 patents to her name, Rundensteiner's work has had a substantial impact on how data is processed and analyzed.
Latest Patents
Rundensteiner's latest patents showcase her innovative approach to solving complex problems. One of her notable patents is titled "Determining an execution ordering." This patent describes a computer-implemented method for determining an execution ordering by generating a directed graph based on a hierarchy that includes multiple pattern queries. The method further involves determining a minimum spanning tree of the directed graph and establishing an execution order of the pattern queries based on this tree. Another significant patent is "Nested complex sequence pattern queries over event streams." This method evaluates nested complex sequence pattern queries by obtaining events from an event stream and evaluating them within a specified window using an outer query to produce partial results. The method also introduces a more stringent window constraint that enhances the evaluation process.
Career Highlights
Throughout her career, Rundensteiner has worked with notable companies, including Hewlett-Packard Development Company, L.P. and Hewlett Packard Enterprise Development LP. Her experience in these organizations has allowed her to refine her skills and contribute to groundbreaking projects in the tech industry.
Collaborations
Rundensteiner has collaborated with talented individuals such as Hong Su and Harumi Kuno. These partnerships have fostered an environment of innovation and creativity, leading to the development of advanced technologies.
Conclusion
Elke Angelika Rundensteiner's contributions to the field of computer science through her patents and collaborations highlight her role as a leading inventor. Her work continues to influence the way complex data is processed and analyzed, paving the way for future innovations.