Abstract: Data classification is used to classified input items by associating the input items with one or more classes from a set of one or more classes in a data classification system, including identifying relevant features in an input item to form a feature vector for the input item, receiving at the data classification system an indication of a point-of-view, adjusting the feature vector according to the point-of-view indication or modifying a pattern discriminator (e.g., trainer and classifier) to inline-process feature vectors depending on the provided point-of-view (e.g., SVM custom kernels), and classifying the input item into the set of classes according to the point-of-view. The point-of-view data can be introduced either as a pre-process step prior to passing it off to the pattern discrimination algorithm, or can be incorporated directly into the pattern discrimination algorithm if applicable.

Abstract: Data classification is used to classified input items by associating the input items with one or more classes from a set of one or more classes in a data classification system, including identifying relevant features in an input item to form a feature vector for the input item, receiving at the data classification system an indication of a point-of-view, adjusting the feature vector according to the point-of-view indication or modifying a pattern discriminator (e.g., trainer and classifier) to inline-process feature vectors depending on the provided point-of-view (e.g., SVM custom kernels), and classifying the input item into the set of classes according to the point-of-view. The point-of-view data can be introduced either as a pre-process step prior to passing it off to the pattern discrimination algorithm, or can be incorporated directly into the pattern discrimination algorithm if applicable.

Abstract: A method and system that electronically searches documents for information that pertains to business research over a network. This method and system allows for a user to personally access (via a secure and privileged network connection) its easily accessible networked site. According to one embodiment of the invention, the automated Market Metrics and Analysis System aggregates and cleans data gathered from its networked sources. A component in the Market Metrics and Analysis System cleans the aggregated data while a data warehouse stores the cleansed data. Another component of the Market Metrics and Analysis System generates a data analysis from the stored data found in the data warehouse. Based on this data analysis, the Market Metrics and Analysis System generates a reporting analysis for the user of the system, which is based on the results of the previously performed data analysis.