1
Jeffrey D Saffer, Augustin J Calapristi, Nancy E Miller, Randall E Scarberry, Sarah J Thurston, Susan L Havre, Scott D Decker, Deborah A Payne, Heidi J Sofia, Gregory S Thomas, Lisa C Stillwell, Guang Chen, Vernon L Crow, Cory L Albright, Sean J Zabriskie, Kevin M Groch, Joel M Malard, Lucille T Nowell: Data processing, analysis, and visualization system for use with disparate data types. Battelle Memorial Institute, Finnegan Henderson Farabow Garrett & Dunner, Konstantin Linnik Esq, January 24, 2006: US06990238 (115 worldwide citation)

A system or method consistent with an embodiment of the present invention is useful in analyzing large volumes of different types of data, such as textual data, numeric data, categorical data, or sequential string data, for use in identifying relationships among the data types or different operation ...


2
Jeffrey D Saffer, Augustin J Calaprist, Guang Chen, Vernon L Crow, Jonathon D McCall, Nancy E Miller, Philip J Monroe, Lucille T Nowell, Deborah A Payne, Randall E Scarberry, Lisa C Stillwell, Sarah J Thurston, Leigh K Williams, Sean J Zabriskie: Data import system for data analysis system. Battelle Memorial Institute, Finnegan Henderson Farabow Garrett & Dunner, April 6, 2004: US06718336 (38 worldwide citation)

A data import system enables access to data of multiple types from multiple data sources of different formats and provides an interface for importing data into a data analysis system. The interface enables a user to customize the formatting of the data as the data is being imported into a data analy ...


3
Jeffrey D Saffer, Augustin J Calapristi, Nancy E Miller, Randell E Scarberry, Sarah J Thurston, Susan L Havre, Scott D Decker, Deborah A Payne, Heidi J Sofia, Gregory S Thomas, Lisa C Stillwell, Guang Chen, Vernon L Crow, Cory L Albright, Sean J Zabriskie, Kevin M Groch, Joel M Malard, Lucille T Nowell: Data processing, analysis, and visualization system for use with disparate data types. Battelle Memorial Institute, Finnegan Henderson Farabow Garrett & Dunner, May 18, 2006: US20060106783-A1

A system or method consistent with an embodiment of the present invention is useful in analyzing large volumes of different types of data, such as textual data, numeric data, categorical data, or sequential string data, for use in identifying relationships among the data types or different operation ...



Click the thumbnails below to visualize the patent trend.