Abstract: The invention provides a method, apparatus and system for classification and clustering electronic data streams such as email, images and sound files for identification, sorting and efficient storage. The method further utilizes learning machines in combination with hashing schemes to cluster and classify documents. In one embodiment hash apparatuses and methods taxonomize clusters. In yet another embodiment, clusters of documents utilize geometric hash to contain the documents in a data corpus without the overhead of search and storage.

Abstract: A method of optimizing regular expressions including determining an optimized form for regular expressions and presenting the optimized forms for the regular expressions to a user in a source-level representation. A system is provided for authoring regular expressions including a user interface enabling a user to author a regular expression defining a particular text pattern. The user interface enables the user to specify a target data set and a matching algorithm to be used with the regular expression. An optimizer implements transformation rules and processes for applying the transformation rules to an authored regular expression to generate an optimized regular expression presented in a source-level representation. The optimizer may select an alternate preferred pattern matching algorithm and an alternate preferred data source making adjustments to the pattern.

Abstract: The invention provides a method, apparatus and system for classification and clustering electronic data streams such as email, images and sound files for identification, sorting and efficient storage. The method further utilizes learning machines in combination with hashing schemes to cluster and classify documents. In one embodiment hash apparatuses and methods taxonomize clusters. In yet another embodiment, clusters of documents utilize geometric hash to contain the documents in a data corpus without the overhead of search and storage.

Abstract: In embodiments of the invention, a system receives selections from a user based on a list of pre-defined monitoring categories and/or optionally receives custom category definitions from the user. The option for custom category definitions may be advantageous due to the flexibility provided to a system administrator or other user. In embodiments of the invention, the pre-defined and/or custom monitoring categories may be or include complex hierarchical behavior. Such an approach provides monitoring algorithms that can achieve improved accuracy compared to known methods. In embodiments of the invention, the order of computations used in resolving a monitoring category may be re-ordered, statically and/or dynamically, to improve the efficiency of monitoring operations.

Abstract: A system for monitoring and maintaining an acceptable use policy for network communications monitors, stores and searches for the presence of preselected regular expressions, either by subject category or by keywords. The regular expressions within the subject categories are assigned predetermined values, either negative or positive. If a communication contains regular expressions whose sum of weighted values exceeds a threshold value, the communication is stored for subsequent review by an authorized user of the system. If the communication contains keywords selected by the authorized user, the communication is also stored for subsequent review.

Abstract: The invention provides a method, apparatus and system for classification and clustering electronic data streams such as email, images and sound files for identification, sorting and efficient storage. The inventive systems disclose labeling a document as belonging to a predefined class though computer methods that comprise the steps of identifying an electronic data stream using one or more learning machines and comparing the outputs from the machines to determine the label to associate with the data. The method further utilizes learning machines in combination with hashing schemes to cluster and classify documents. In one embodiment hash apparatuses and methods taxonomize clusters. In yet another embodiment, clusters of documents utilize geometric hash to contain the documents in a data corpus without the overhead of search and storage.

Abstract: In embodiments of the invention, a system receives selections from a user based on a list of pre-defined monitoring categories and/or optionally receives custom category definitions from the user. The option for custom category definitions may be advantageous due to the flexibility provided to a system administrator or other user. In embodiments of the invention, the pre-defined and/or custom monitoring categories may be or include complex hierarchical behavior. Such an approach provides monitoring algorithms that can achieve improved accuracy compared to known methods. In embodiments of the invention, the order of computations used in resolving a monitoring category may be re-ordered, statically and/or dynamically, to improve the efficiency of monitoring operations.

Abstract: A system for monitoring and maintaining an acceptable use policy for network communications monitors, stores and searches for the presence of preselected regular expressions, either by subject category or by keywords. The regular expressions within the subject categories are assigned predetermined values, either negative or positive. If a communication contains regular expressions whose sum of weighted values exceeds a threshold value, the communication is stored for subsequent review by an authorized user of the system. If the communication contains keywords selected by the authorized user, the communication is also stored for subsequent review.

Abstract: The present invention relates to a system for monitoring and maintaining an acceptable use policy for network communications. Such communications are monitored, stored and searched for the presence of preselected regular expressions, either by subject category or by keywords. The regular expressions within the subject categories are assigned predetermined values, either negative or positive. If a communication contains regular expressions whose sum of weighted values exceeds a threshold value, the communication is stored for subsequent review by an authorized user of the system. If the communication contains keywords selected by the authorized user, the communication is also stored for subsequent review.