SOFTWARE DATA MINING

Brand Owner (click to sort) Address Description
FTK Access Data, Inc. 2500 North University Avenue Provo UT 846043864 Software for data mining, namely, software for analyzing and recognizing data or data patterns for use with investigation agencies such as police investigators and detectives;
REALSEGMENTS STRATEGIC DATA CORP. 1821 Wilshire Boulevard, Suite 600 Santa Monica CA 90403 Software for data mining, namely, software for analyzing and recognizing data or data patterns and software for pattern recognition;
ROOM 40 Room 40 153 W. Ohio Suite 440 Chicago IL 60610 Software for data mining, segmentation analysis and profiling, market modeling and results tracking of marketing campaigns, all in the field of market research and strategy;
SCORE STRATEGIC DATA CORP. 1821 Wilshire Boulevard, Suite 600 Santa Monica CA 90403 Software for data mining, namely, software for analyzing and recognizing data or data patterns and software for pattern recognition, for use in strategic marketing;
TRANSLATING ANALYSIS INTO ACTION STRATEGIC DATA CORP. 1821 Wilshire Boulevard, Suite 600 Santa Monica CA 90403 Software for data mining, namely, software for analyzing and recognizing data or data patterns and software for pattern recognition;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. A system, method, and computer program product for in-database clustering provides the capability to perform cluster analysis and provides improved performance in model building and data mining, good integration with the various databases throughout the enterprise, and flexible specification and adjustment of the models being built, but which provides data mining functionality that is accessible to users having limited data mining expertise and which provides reductions in development times and costs for data mining projects. A database management system for in-database clustering, comprises a first data table and a second data table, each data table including a plurality of rows of data, means for building a clustering model using the first data table, and means for applying the clustering model using the second data table to generate apply output data.