998 results about "Classification rule" patented technology

A data management service identifies sensitive data stored on enterprise databases according to record classification rules that classify a data record as having a sensitive data type if the data record includes fields matching at least one of the record classification rules. The data management service determines assessment scores for enterprise databases according to sensitive data records and protection policies on the enterprise databases. The data management service provides an interface that groups enterprise databases having common attributes or common sensitive data types and indicates aggregated assessment scores for the groups of enterprise databases. Through the interface with the grouped enterprise databases, an administrator apply protection policies to enterprise databases. To apply the protection policy, the data management service applies the protection policy to a source database from which dependent enterprise databases access the sensitive database.

The present invention is directed to a mathematical approach to detect faults by reconciling known data driven techniques with a physical understanding of the HVAC system and providing a direct linkage between model parameters and physical system quantities to arrive at classification rules that are easy to interpret, calibrate and implement. The fault modes of interest are low system refrigerant charge and air filter plugging. System data from standard sensors is analyzed under no-fault and full-fault conditions. The data is screened to uncover patterns though which the faults of interest manifest in sensor data and the patterns are analyzed and combined with available physical system information to develop an underlying principle that links failures to measured sensor responses. These principles are then translated into online algorithms for failure detection.

An approach is provided for providing quality of service reservations in a packet-based radio communication network is disclosed. Connection information including connection rate is extracted from a dataflow from an application requesting connection-oriented service. A request message is sent to a proxy for establishing a connection based on the connection information over the network, wherein the proxy configures a classification rule based on flow criteria from the request message and accordingly initiates establishment of the connection over the network to a destination terminal. A confirmation that the connection can be established is selectively received according to the connection information, wherein the dataflow satisfying the flow criteria from the application is transported over the established connection to the destination terminal. This approach as particular applicability to shared capacity systems, such as a satellite communication system.

The present invention relates generally to the classification of items into categories, and more generally, to the automatic selection of different classifiers at different places within a hierarchy of categories. An exemplary hierarchical categorization method uses a hybrid of different classification technologies, with training-data based machine-learning classifiers preferably being used in those portions of the hierarchy above a dynamically defined boundary in which adequate training data is available, and with a-priori classification rules not requiring any such training-data being used below that boundary, thereby providing a novel hybrid categorization technology that is capable of leveraging the strengths of its components. In particular, it enables the use of human-authored rules in those finely divided portions towards the bottom of the hierarchy involving relatively close decisions for which it is not practical to create in advance sufficient training data to ensure accurate classification by known machine-learning algorithms, while still facilitating eventual change-over within the hierarchy to machine learning algorithms as sufficient training data becomes available to ensure acceptable performance in a particular sub-portion of the hierarchy.

A method and apparatus are provided for diagnosing faults in a monitored system. Estimates of parameter data are generated from the system with reference parameter data characteristic of known behavior of the system. The generated estimates of the parameter data are compared with measured parameter data. A residual is determined for each of the parameters based on a relationship between the estimates of the parameter data and the measured parameter data. A fuzzy classification rule is implemented to determine a likelihood that a predetermined fault exists by using residuals for parameters used to indicate the existence of the predetermined fault.