A SYSTEM AND METHOD FOR MINING DATA FROM HIGH-VOLUME TEXT STREAMS AND AN ASSOCIATED SYSTEM AND METHOD FOR ANALYZING MINED DATA

Number of patents in Portfolio can not be more than 2000

United States of America Patent

APP PUB NO 20080033587A1
SERIAL NO

11462100

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Abstract

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Disclosed are embodiments of a method of mining data and a method of evaluating that data in order to discover significant changes in conditions (e.g., changes in activities, events, associations, affiliations, market preferences, etc.). The data mining technique uses predetermined scenarios that characterize specific changes as well as key variables that are relevant to those scenarios. These variables are input as mining parameters into a data mining tool. Retrieved data is analyzed and the results are evaluated. One technique of evaluating the results includes displaying them in a visual format (e.g., graphs, tables) along with additional information (e.g., lists of documents or portions of documents containing data relevant to the displayed results). A user evaluates the displayed results and additional information in order to identify data that should be filtered, to identify trends and/or patterns in the data, and to assess the trends and/or patterns.

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Patent Owner(s)

Patent OwnerAddress
INTERNATIONAL BUSINESS MACHINES CORPORATIONNEW ORCHARD ROAD ARMONK NY 10504

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Kurita, Keiko Los Gatos, CA 4 183
Mann, John K Richmond, CA 1 73
Nelson, Ross Sunnyvale, CA 3 87
Nguyen, Tram T San Jose, CA 2 118
Niblack, Carlton W San Jose, CA 2 716
Zhang, Zengyan San Jose, CA 9 276

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