104 results about "Data analyst" patented technology

The present invention generally relates to computer databases and, more particularly, to data mining and knowledge discovery. The invention specifically relates to a method for constructing segmentation-based predictive models, such as decision-tree classifiers, wherein data records are partitioned into a plurality of segments and separate predictive models are constructed for each segment. The present invention contemplates a computerized method for automatically building segmentation-based predictive models that substantially improves upon the modeling capabilities of decision trees and related technologies, and that automatically produces models that are competitive with, if not better than, those produced by data analysts and applied statisticians using traditional, labor-intensive statistical techniques. The invention achieves these properties by performing segmentation and multivariate statistical modeling within each segment simultaneously. Segments are constructed so as to maximize the accuracies of the predictive models within each segment. Simultaneously, the multivariate statistical models within each segment are refined so as to maximize their respective predictive accuracies.

A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.

Systems, methods, and computer products that rank and explain dimensions associated with exceptions in multidimensional data. The present invention assists the data analyst by providing a simplified view of the multidimensional data that enables analysis of the important results of data exception exploration. Further, the preferred embodiment of the present invention incorporates the effect of weighting factors associated with the importance of the data along with an analysis of the numerical contribution from each dimension. The weighting factors may be based on data mining results or may be obtained from the user. This enables data analysts to obtain information about the value of the data that is presented.

Systems, methods, and computer products that interpret, explain, and manipulate exceptions in multidimensional data. The present invention assists the data analyst by providing a simplified view of the multidimensional data that enables analysis of the important results of data exception exploration. Further, the preferred embodiment of the present invention incorporates the effect of density of the data along each dimension. The preferred embodiment of the present invention also provides the framework necessary to assign linguistic meaning to the exception for each dimension. This enables data analysis to obtain information about the value of the data that is present.

Methods that identify data that is related to and associated with data that has been selected from a multidimensional database. The overwhelming amount of data in a multidimensional database that may be viewed by a user, such as a data analyst, is reduced to the selected and associated data by use of index data and related index data, according to the present invention. The views of selected data and related data may be highlighted and formatted for presentation to the user. Further, irrelevant data is filtered out and not presented to the user. Existing systems have not been able to efficiently and adequately identify data that is related to and associated with selected data in a multidimensional database.

A night vision system includes an image sensor and circuitry coupled to a digital storage medium or transmitter that periodically samples a signal provided by the image sensor and stores the sampled image to be viewed in near real time or at a later date by a data analyst. The night vision system includes an imaging assembly with a casing surrounding an image intensifier and the associated circuitry along with a port for accepting a power and / or signal cable for providing power to the image assembly and image signal data to the digital storage medium. The system may further include a daytime camera and a switch for toggling the image signal data input to the digital storage medium between the daytime camera and the low light image sensor, as well as a transmission system for wirelessly transmitting signals.