510results about How to "Inhibition of information" patented technology

A system and method for generating context vectors for use in storage and retrieval of documents and other information items. Context vectors represent conceptual relationships among information items by quantitative means. A neural network operates on a training corpus of records to develop relationship-based context vectors based on word proximity and co-importance using a technique of “windowed co-occurrence”. Relationships among context vectors are deterministic, so that a context vector set has one logical solution, although it may have a plurality of physical solutions. No human knowledge, thesaurus, synonym list, knowledge base, or conceptual hierarchy, is required. Summary vectors of records may be clustered to reduce searching time, by forming a tree of clustered nodes. Once the context vectors are determined, records may be retrieved using a query interface that allows a user to specify content terms, Boolean terms, and / or document feedback. The present invention further facilitates visualization of textual information by translating context vectors into visual and graphical representations. Thus, a user can explore visual representations of meaning, and can apply human visual pattern recognition skills to document searches.

Various exemplary systems and methods for linking entity references and identifying associations are presented. In particular, a method for linking a plurality of entity references to at least one entity using one or more constructed ghost entity references is provided. The method comprises the steps of identifying, for one or more common data fields, at least one unique field value from one or more entity references linked to a given entity and constructing, for the given entity, at least one ghost entity reference including the at least one unique field value, wherein the at least one ghost entity reference represents at least one potential entity reference for the given entity. The method further comprises linking at least one of the plurality of entity references to the given entity when a match probability between the at least one entity reference and the ghost entity reference is greater than a defined threshold.

A method for managing a terminal device includes: setting management commands; sending the management commands to a terminal device; and obtaining executed results of the management commands from the terminal device. Another method for managing a terminal device, comprising: setting management commands; configuring a terminal device with the management commands; and obtaining executed results of the management commands from the terminal device.

This invention relates to a method for the transmission of management data to at least one multimedia unit or a group of multimedia units. This method is characterized in that said management data is sent in the form of at least one authorization message encrypted by means of at least one synchronization key (SK), the sending of said at least one authorization message being repeated cyclically and intended for said multimedia unit or said group of multimedia units, and in that the synchronization key is modified at least during each cycle.

A method, information processing system, and computer program storage product for managing information within an electronic file are provided. A plurality of information sets within an electronic file is analyzed. At least one of the information sets is compared to at least one statistical classification model. The statistical classification model includes one or more probabilities associated with a plurality of analyzed information sets that indicate a likelihood that a respective analyzed information set is classified sensitive information. The at least one information set is determined to substantially match at least one analyzed information set in the statistical classification model. The probability associated with the at least one analyzed information set is determined whether to be above a threshold. The at least one information set is classified as sensitive information in response to determining that the probability is above the threshold.

An aspect comprises: (a) receiving data describing a trading order; (b) checking the data to determine whether a first set of conditions is satisfied, wherein the first set of conditions is associated with a first set of trading algorithms, and determining that the first set of pre-defined conditions is satisfied; (c) selecting first trading algorithms from the first set of trading algorithms, for execution of the trading order; (d) commencing execution of the trading order; (e) checking, during execution of the trading order, status of the trading order and the first set of conditions; (f) if the first set of conditions is no longer satisfied, checking whether a second set of conditions is satisfied; and (g) if the second set of conditions is satisfied, switching execution of the trading order to second trading algorithms selected from a second set of trading algorithms associated with the second set of conditions.