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US Patent 7092941 Clustering module for data mining

Patent 7092941 was granted and assigned to Oracle on August, 2006 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Current Assignee
Oracle
Oracle
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
70929410
Patent Inventor Names
Marcos M. Campos0
Date of Patent
August 15, 2006
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Patent Application Number
101525740
Date Filed
May 23, 2002
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Patent Citations Received
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US Patent 11954688 Apparatus for fraud detection rule optimization
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US Patent 11704671 Financial messaging transformation-as-a-service
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US Patent 11762989 Securing electronic data by automatically destroying misdirected transmissions
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US Patent 11853400 Distributed machine learning engine
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US Patent 11861331 Scaling high-level statistical languages to large, distributed datasets
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US Patent 11687807 Outcome creation based upon synthesis of history
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US Patent 11694276 Process for automatically matching datasets
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Patent Primary Examiner
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Diane Mizrahi
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Patent abstract

A system, software module, and computer program product for performing clustering based data mining that improved performance in model building, good integration with the various databases throughout the enterprise, flexible specification and adjustment of the models being built, and flexible model arrangement and export capability. The software module for performing clustering based data mining in an electronic data processing system comprises: a model setup block operable to receive client input including information specifying a setup of a clustering data mining models, generate the model setup, and generate parameters for the model setup based on the received information, a modeling algorithms block operable to select and initialize a clustering modeling algorithm based on the generated model setup, a model building block operable to receive training data and build a clustering model using the training data and the selected clustering modeling algorithm and a model scoring block operable to receive scoring data and generate predictions and/or recommendations using the scoring data and the clustering model.

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