Computer Associates Think, Inc.

Ca, Inc.

Ronald J Cass

Kirk D Wilson

Yoh-Han Pao

It-Beng Tan

Peter J Herrera

Zhuo Meng

David Eugene Huddleston

Qian Yang

Baofu Duan

Charles Edward Garofalo

John Ainsworth

Igor Sedukhin

Xinyu Mao

Ella Polyak

Peter Cryer

Yogesh Gupta

Allan T Andersen

Christopher W Bayer

John D Pao

Phil K Barthram

A method of training a neural net includes receiving a plurality of sets of data, each set representative of a plurality of inputs to the neural net and a resulting at least one output from the neural net and calculating a plurality of network weights for the neural network based on the received plurality of sets of data. Calculating the plurality of network weights including attributing greater weight in the calculation to at least one set of the plurality of sets of data than at least one other set of the plurality of sets of data.

Weighted pattern learning for neural networks

A computer-readable medium having computer-readable instructions stored thereon, which, when executed by a computer arrangement, configures the computer arrangement to perform a new plurality of steps. Those steps include retrieving data from a database. The data is associated with a plurality of assets, and the data for each asset includes information associated with the plurality features of the asset. The computer arrangement also groups the plurality of assets into at least one cluster based on the data and determines an associated hypothetical standard metric. A hypothetical standard metric comprises at least one of a Z-score corresponding to a deviation to a norm of the grouping and a curved line fitting. The computer arrangement also determines a degree of difference between each of a plurality of assets in the hypothetical standard metric and removes at least one asset of the plurality of assets to decrease the degree of difference.

Systems, methods, and software arrangements for improving uniformity of assets within an entity

A method for building a rulebase includes receiving a plurality of rulebase components. The method also includes merging the rulebase components to create a consolidated rulebase.

System and method for building and merging a rulebase with object oriented software

System and method for building a rulebase using a stateful or stateless rulebase builder in a client-server environment

An apparatus and method for processing mixed data for a selected task is provided. An input transformation module converts mixed data into converted data. A functional mapping module processes the converted data to provide a functional output for the selected task. The selected task may be one or a combination of a variety of possible tasks, including search, recall, prediction, classification, etc. For example, the selected task may be for data mining, database search, targeted marketing, computer virus detection, etc.

Processing mixed numeric and symbolic data encodings using scaling at one distance of at least one dimension, clustering, and a signpost transformation

A method for automated feature selection is provided. One or more initial sets of features are generated and evaluated to determine quality scores for the feature sets. Selected ones of the feature sets are (i) chosen according to the quality scores and modified to generate a generation of modified feature sets, (ii) the modified feature sets are evaluated to determine quality scores for the modified feature sets, and (i) and (ii) are repeated until a modified feature set is satisfactory.

Method and apparatus for automated feature selection

An adaptive system modeling method is provided. A system model is generated by using data corresponding to an input features set selected by using a baseline significance signature of the system. A superset of the input features and other features also is selected by using the baseline significance signature. Data collected from the system corresponding to the superset is maintained online. A new significance signature of the system is periodically or intermittently determined by performing a discriminant analysis using the online superset data, and is used to detect an evolutionary change in the system.

Method and apparatus for discovering evolutionary changes within a system

System and method for building a rulebase

A data mining system and method are provided. The system includes at least one client and a service broker configured to include an interface to receive a consultation request from the client. The service broker forwards the consultation request to a Neugent to invoke a consultation of the Neugent, and forwards to the client a result object returned by the Neugent.

Using neural networks for data mining

A method for providing inferencing services includes receiving a plurality of rules for a specified domain. The method also includes identifying a precondition associated with the rules and a postcondition associated with the rules. The precondition represents an input used in executing the rules, and the postcondition represents an output from the execution of the rules. The method further includes receiving an input value corresponding to the precondition. In addition, the method includes executing at least a portion of the rules using the input value to generate an output value. The output value corresponds to the postcondition.

System and method for providing inferencing services

Pattern recognition of common modes by neural networks and other techniques are used to monitor and determine or predict the state of networks, computers, software systems, logical networks or other components of an information system, to report actual or predicted states, and to report other state characteristics.

Growing community of inventors

Cleveland Heights, OH, United States of America

Ronald J Cass