Abstract: 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.

Abstract: One embodiment of the present invention includes displaying a first object and a second object with a computer system. The first object represents data corresponding to a first combination of a number of variables and a second object represents data corresponding to a second combination of the variables. The first object is moved in a first pattern and the second object is moved in a second pattern during this display with the computer system. These patterns include a common characteristic to represent one of the variables common to the first and second combinations and a varying characteristic indicative of variation of the one of the variables.

Abstract: 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 analysis system. A user may select first user defined options for operating on a first data set received during a data importation process. An intermediate representation of the data set is generated based on the user first defined options. A user may specify second user defined options based on the intermediate representation during the data importation process. The second user defined options are processed to produce a final data representation of the data set to be used for analysis of the data. The intermediate representation may be a data table. The processing of a data set may include merging a first and second data set to produce the final data representation.

Abstract: One embodiment of the present invention includes displaying a first object and a second object with a computer system. The first object represents data corresponding to a first combination of a number of variables and a second object represents data corresponding to a second combination of the variables. The first object is moved in a first pattern and the second object is moved in a second pattern during this display with the computer system. These patterns include a common characteristic to represent one of the variables common to the first and second combinations and a varying characteristic indicative of variation of the one of the variables.

Abstract: A cluster isolation system includes a processor that is operatively coupled to an input device, an output device, and memory. The system determines feature/interval combinations that distinguish one cluster of data objects from other clusters. The processor calculates cluster isolation measurement values at selected cut-off values for each feature. The processor reports the features and feature score intervals that satisfy selected isolation measurement value thresholds.