Oracle Otc Subsidiary LLC

Oracle International Corporation

Vladimir Gluzman Peregrine

Vladimir V Zelevinsky

Omri Traub

Daniel Tunkelang

Jason Furtado

Joyce Jeanpin Wang

Spiro Michaylov

Mohammad Haque

Tianyu Zhu

John Benjamin Popp

Ray Kuo

Leigh Ishikawa

Richard Lawrence Albright

A performance analysis system that analyzes the performance of a business intelligence analytics application is provided. The performance analysis system logs data associated with one or more queries of a database within the database. The performance analysis system further generates performance data based on an analysis of the logged data, where the performance data includes data associated with one or more performance metrics of each query. The performance analysis system further generates one or more performance queries of the performance data, where a response to each performance query includes at least a portion of the one or more performance metrics stored within the database.

Business intelligence performance analysis system

A system for visualizing concepts within a collection of information analyzes a set of materials from at least one collection of information and defines an attribute space associated with the set of materials. The system then determines automatically similarity of members of the attribute space. The system then generates a graphical model of the members of the attribute space, where the generating includes generating a display of the members of the attribute space, each of the members having a respective display distance from other respective members of the attribute space reflective of the determined similarity.

Visualization of concepts within a collection of information

Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.

System and method for concept visualization

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Chesnut Hill, MA, United States of America

Vladimir Gluzman Peregrine