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US Patent 7574409 Method, apparatus, and system for clustering and classification

Patent 7574409 was granted and assigned to Vericept Corporation on August, 2009 by the United States Patent and Trademark Office.

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Patent

Patent attributes

Current Assignee
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
7574409
Date of Patent
August 11, 2009
Patent Application Number
10983258
Date Filed
November 4, 2004
Patent Citations Received
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US Patent 12105719 Malicious activity detection system capable of efficiently processing data accessed from databases and generating alerts for display in interactive user interfaces
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US Patent 11947569 Framework for exposing network activities
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US Patent 11954607 Systems and methods for reducing manufacturing failure rates
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US Patent 12008498 Log scaling system and related methods
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US Patent 11681282 Systems and methods for determining relationships between defects
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US Patent 11694138 Log scaling system and related methods
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US Patent 11704352 Automated categorization and assembly of low-quality images into electronic documents
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US Patent 11714869 Automated assistance for generating relevant and valuable search results for an entity of interest
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...
Patent Primary Examiner
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Michael B. Holmes
Patent abstract

The invention provides a method, apparatus and system for classification and clustering electronic data streams such as email, images and sound files for identification, sorting and efficient storage. The inventive systems disclose labeling a document as belonging to a predefined class though computer methods that comprise the steps of identifying an electronic data stream using one or more learning machines and comparing the outputs from the machines to determine the label to associate with the data. The method further utilizes learning machines in combination with hashing schemes to cluster and classify documents. In one embodiment hash apparatuses and methods taxonomize clusters. In yet another embodiment, clusters of documents utilize geometric hash to contain the documents in a data corpus without the overhead of search and storage.

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