公开(公告)号：US20060106783A1

公开(公告)日：2006-05-18

申请号：US11282569

申请日：2005-11-21

申请人： Jeffrey Saffer ,  Augustin Calapristi ,  Nancy Miller ,  Randell Scarberry ,  Sarah Thurston ,  Susan Havre ,  Scott Decker ,  Deborah Payne ,  Heidi Sofia ,  Gregory Thomas ,  Lisa Stillwell ,  Guang Chen ,  Vernon Crow ,  Cory Albright ,  Sean Zabriskie ,  Kevin Groch ,  Joel Malard ,  Lucille Nowell

发明人： Jeffrey Saffer ,  Augustin Calapristi ,  Nancy Miller ,  Randell Scarberry ,  Sarah Thurston ,  Susan Havre ,  Scott Decker ,  Deborah Payne ,  Heidi Sofia ,  Gregory Thomas ,  Lisa Stillwell ,  Guang Chen ,  Vernon Crow ,  Cory Albright ,  Sean Zabriskie ,  Kevin Groch ,  Joel Malard ,  Lucille Nowell

IPC分类号： G06F17/30

CPC分类号： G06K9/6218 ,  G06F16/34 ,  G06F16/9038 ,  G06K9/6253 ,  Y02A90/26 ,  Y10S707/99931

摘要： 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 operations that have been performed on the data. A system or method consistent with the present invention determines and displays the relative content and context of related information and is operative to aid in identifying relationships among disparate data types. Various data types, such as numerical data, protein and DNA sequence data, categorical information, and textual information, such as annotations associated with the numerical data or research papers may be correlated for visual analysis. A variety of user-selectable views may be correlated for user interaction to identify relationships that exist among the different types of data or various operations performed on the data. Furthermore, the user may explore the information contained in sets of records and their associated attributes through the use of interactive 2-D line charts and interactive summary miniplots.

公开(公告)号：US20060093222A1

公开(公告)日：2006-05-04

申请号：US11282567

申请日：2005-11-21

申请人： Jeffrey Saffer ,  Gregory Thomas ,  Lisa Stillwell ,  Guang Chen ,  Vernon Crow ,  Cory Albright ,  Sean Zabriskie ,  Kevin Groch ,  Joel Malard ,  Lucille Nowell ,  Augustin Calapristi ,  Nancy Miller ,  Randall Scarberry ,  Sara Thurston ,  Susan Havre ,  Scott Decker ,  Deborah Payne ,  Heidi Sofia

发明人： Jeffrey Saffer ,  Gregory Thomas ,  Lisa Stillwell ,  Guang Chen ,  Vernon Crow ,  Cory Albright ,  Sean Zabriskie ,  Kevin Groch ,  Joel Malard ,  Lucille Nowell ,  Augustin Calapristi ,  Nancy Miller ,  Randall Scarberry ,  Sara Thurston ,  Susan Havre ,  Scott Decker ,  Deborah Payne ,  Heidi Sofia

IPC分类号： G06K9/62

CPC分类号： G06K9/6218 ,  G06F16/34 ,  G06F16/9038 ,  G06K9/6253 ,  Y02A90/26 ,  Y10S707/99931

摘要： 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 operations that have been performed on the data. A system or method consistent with the present invention determines and displays the relative content and context of related information and is operative to aid in identifying relationships among disparate data types. Various data types, such as numerical data, protein and DNA sequence data, categorical information, and textual information, such as annotations associated with the numerical data or research papers may be correlated for visual analysis. A variety of user-selectable views may be correlated for user interaction to identify relationships that exist among the different types of data or various operations performed on the data. Furthermore, the user may explore the information contained in sets of records and their associated attributes through the use of interactive 2-D line charts and interactive summary miniplots.