Oracle International Corporation

Joe Yarmus

Marcos M Campos

Boriana L Milenova

Mark F Hornick

Gary L Drescher

Pavani Kuntala

Chitra Balwant Bhagwat

Disclosed is an approach to implement improved anomaly detection. Improved anomaly detection is provided using MSET-SPRT via Monte Carlo simulation that can address problems with conventional MSET-SPRT approaches and provide improved system performance and accuracy.

Anomaly detection using MSET with random projections

The present invention relates to progress notification systems, computer program products and methods of operation thereof, that reports processing progress of data mining operations at regular periodic intervals. The system comprises: an input/output interface for exchanging information with a network; a memory for storing updated progress objects associated with the data mining operation as a set of data mining algorithms progress in processing; and a processor coupled to the input/output interface and the memory, the processor for performing the data mining operation, the data mining operation implementing the set of data mining algorithms; and generating a notification object for the data mining operation at a pre-determined interval, the notification object based on the progress objects at each of the pre-determined intervals.

Progress notification supporting data mining

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Groton, MA, United States of America

Joe Yarmus