Abstract: Surveillance technology particularly suited to continuous gathering of autobiographical data. Integrated into a portable construction are data collection mechanisms for capturing substantially all perceptual stimulus and acquirable digital data in the immediate vicinity of the system, a data integrator for correlating said autobiographical data, and memory for storing collected data. The unit comprises a programmable device for integrating all data captured into an integrated, content-retrievable format. Data editing formats are also suggested.

Abstract: A system and method is provided for determining characteristics of sets of organized items. In an illustrative implementation, a first set of organized items as a compare-from location is identified, and a second set of organized items as a compare-to location is also identified. In an illustrative operation, a recursive intrinsic reference representing the first set of organized items is determined so that the recursive intrinsic reference is an intrinsic reference to an item containing a second intrinsic reference. A discrepancy is determined between the first set of organized items and the second set of organized items using the recursive intrinsic reference.

Abstract: Abstract of the Disclosure A method and system of providing training information for training a categorizer includes receiving a query relating to at least one category and identifying at least one case within a data set that matches the query. The method and system receives one of a first indication that the identified at least one case belongs to the category, and a second indication that the identified at least one case does not belong to the category. Training information is modified based on receiving one of the first indication and second indication.

Abstract: A classification count adjustment system for adjusting a count estimate of items in a dataset D classified into a class is disclosed. The system includes a count estimate produced by a classifier of the number of items in the dataset D classified into the class. The system further comprises one or more measures of behavior of the classifier, indicating the ability of the classifier to classify items into the class. The system further comprises a processor for computing an adjusted estimate based on the count estimate by the classifier and the one or more measures of behavior.

Abstract: In at least some embodiments, a method comprises obtaining a state description associated with a system having a component. The method further comprises automatically obtaining a substantially optimal parameterization for the component based on one or more operant characteristics of the component predicted by a behavior prediction model using combinations of the system's state description and a set of possible parameterizations for the component.

Abstract: A system and method for minimally predictive feature identification is disclosed. The method discloses: receiving an information collection including a set of features; generating a set of prediction values indicating a degree to which a first feature within the set of features predicts other features in the set; and identifying the first feature as a minimally predictive feature if each of the prediction values is within a predetermined range of threshold values. The system discloses means for practicing the method.

Abstract: A system and method for category organization is disclosed. The method discloses: receiving an information collection including a set of strings; identifying positively predictive pairs of strings; identifying negatively predictive pairs of strings; joining positively predictive pairs of strings into common categories; splitting negatively predictive pairs of strings into different categories; and organizing the categories using the negatively predictive pairs of strings. The system discloses various elements, means and instructions for performing the method.

Abstract: A system and method for category discovery is disclosed. The method discloses: receiving an information collection including a set of strings; identifying positively predictive pairs of strings; identifying negatively predictive pairs of strings; joining positively predictive pairs of strings into a category; and splitting negatively predictive pairs of strings into different categories. The system discloses various elements, means and instructions for performing the method.

Abstract: The present invention is a system or method for assisting in the maintenance and servicing of computers. The system, for example, comprises a cluster database containing information relating to one or more computer clusters, the information relating to each cluster comprising one or more cluster descriptions and one or more representations of configuration information values that characterize typical computer members of the cluster, and also a tracker database containing configuration information values gathered from and relating to one or more computers.

Abstract: A method and system for identifying clusters of similarly-configured computers. The method, for example, comprises gathering system and business configuration information values from a set of computers. Next, at least a portion of the system and business configuration information values gathered from the set of computers is analyzed along with the numbers of computers that are configured in various ways. Then, using the result of the analysis as a guide, logical expressions of configuration information values are selected for use as definitions of one or more clusters of similarly-configured computers, the selection process generally maximizing the number of computers included within each cluster and also generally maximizing the number of configuration information value specifications included within the definition of each cluster.

Abstract: A method is provided for the identification of managed systems that are exceptional compared to comparable managed systems. The method involves selecting a set of managed systems wherein each managed system has a number of system configuration attributes and selecting a set of parameterizations relating to the managed systems. Patterns are determined for the parameterizations within the set of managed systems using a supervised machine learning algorithm. The managed systems are compared to the patterns and any managed systems that deviate from the patterns are isolated as exceptional managed systems. Isolated systems may be targeted for remedial action such as the allocation of support resources or system management resources.

Abstract: Systems and methods for detecting an interesting event in a data stream. More specifically, a monitoring system is configured to monitor a data stream and establish a sensitivity parameter based on sequences generated from values in a first portion of the data stream. A detector may be trained using the sensitivity parameter to detect the occurrence of an interesting event in the data stream.

Abstract: An arrangement for determining a predicted health of a system that would result from an application of a proposed intervention to an existing system. The predicted health is determined by determining a set of modifications involved in the proposed intervention wherein each modification involves one or more components of the existing system. For each modification, a set of component information that pertains to the modification is obtained from a knowledge base. Each set of component information may specify inter-dependencies among the components involved in the modification. For each modification, it is determined whether the inter-dependencies specified in the component information are satisfied. The determination of whether the inter-dependencies are satisfied enables a determination of the predicted health of individual components of the system as well as the predicted health of the overall system.