Abstract: An Enterprise Management Portfolio Hub allows a user to perform enterprise portfolio management activities from a single point of control. EPMH relates information, analysis, display and control based on the organizing concept of the business components that comprise the CBM map of the enterprise by collecting portfolio information from existing portfolio management tools and generating a portfolio model. It allows the user to interact with or access information from various Portfolio Management applications and services through the portfolio model. EPMH supports evaluative techniques that can be used to identify areas for business transformation and to generate transition plans.

Abstract: The exemplary embodiments of the invention provide apparatus, systems, methods and computer program products for scoring entities in order to use the scoring for such tasks as identifying and prioritizing those entities that are candidates for further investigation, for example, from an audit or business control perspective.

Abstract: Provides methods, systems and apparatus for generating alerts for a system process that obtains raw channel data over time from one or more monitored channel of the system process. An example method includes processing the raw channel data to form time dependent signals based one or more user specified processing rules. The method produces alerts based on the deviation in behavior in one or more channels, where the deviation is quantified by a numeric level computed by comparing signals for varying time intervals with historically normal baseline signals. The method may include filtering the alerts to selectively form reportable alerts that are presented to the user based on user specified filtering rules.

Abstract: The exemplary embodiments of the invention provide apparatus, systems, methods and computer program products for scoring entities in order to use the scoring for such tasks as identifying and prioritizing those entities that are candidates for further investigation, for example, from an audit or business control perspective.

Abstract: A method and system for enterprise monitoring maps monitor events to elements of a component business model of the enterprise and displays the mapped events using the component business model. Rules are used to determine whether events captured from a monitor source are monitor events. An enterprise monitor metamodel linking monitor artifacts and elements of a component business model is used to annotate monitor events with data from the component business model of the enterprise.

Abstract: An Enterprise Management Portfolio Hub allows a user to perform enterprise portfolio management activities from a single point of control. EPMH relates information, analysis, display and control based on the organizing concept of the business components that comprise the CBM map of the enterprise by collecting portfolio information from existing portfolio management tools and generating a portfolio model. It allows the user to interact with or access information from various Portfolio Management applications and services through the portfolio model. EPMH supports evaluative techniques that can be used to identify areas for business transformation and to generate transition plans.

Abstract: Provides methods, systems and apparatus for generating alerts for a system process that obtains raw channel data over time from one or more monitored channel of the system process. An example method includes processing the raw channel data to form time dependent signals based one or more user specified processing rules. The method produces alerts based on the deviation in behavior in one or more channels, where the deviation is quantified by a numeric level computed by comparing signals for varying time intervals with historically normal baseline signals. The method may include filtering the alerts to selectively form reportable alerts that are presented to the user based on user specified filtering rules.

Abstract: A closed loop system is presented for selecting samples for labeling so that they can be used to generate classifiers. The sampling is done in phases. In each phase a subset of samples are chosen using information collected in previous phases and the classification model that has been generated up to that point. The total number of samples and the number of phases can be chosen by the user.

Abstract: A method and apparatus is disclosed for generating a regression tree with oblique hyperplanes from a training set of records. The method is performed iteratively, stopping when a criterion has been reached. A new set of vectors is computed as the iteration proceeds. The vectors used are not restricted to the attribute axes and hence oblique hyperplanes are allowed to split nodes in the generated regression tree. Generally, the computation of the new vector set uses the regression tree produced in the latest iteration. The leaf nodes of this tree are considered pair-wise to compute the new vector set for use in the next iteration. The iterative process produces a set of regression trees from which a best tree is chosen as the final result of the method.

Abstract: A method and apparatus is disclosed for generating a decision tree classifier with oblique hyperplanes from a training set of records. The method iteratively comprises the steps of: initializing a set of vectors to the numeric attribute axes; creating a decision tree classifier using hyperplanes orthogonal to the set of vectors; checking if the iteration stopping criteria has been reached; computing a new set of vectors if the iteration proceeds; and choosing the best decision tree when the iteration is stopped. The vectors used are not restricted to the attribute axes and hence oblique hyperplanes are allowed to split nodes in the generated decision tree. The computation of the new vector set uses the decision tree produced in the latest iteration. The leaf nodes of this tree are considered pair-wise to compute the new vector set for use in the next iteration. The iterative process produces a set of decision trees from which the best one is chosen as the final result of the method.