Abstract:
Method and system of organizing and processing data in a distributed computing system having designated, distributed data stores for sensitive content (e.g., trade secrets) or select content (e.g., critical content). Sensitive/select data is extracted via configurable filters and stored in the designated data stores, sometimes subject to security controls, with limiting distribution functions and controlled release of the sensitive/select data. Distribution is limited due to designated, configurable filters.
Abstract:
Distributed computer system processes data having select content (SC) represented by one or more predetermined words, characters, etc. The system has a plurality of SC data stores in a server cloud for respective security designated (Sec-D) data and granular data, each with respective access controls thereat. The data stores are operatively coupled on a network. An identification module identifies SC and granular data stores for the respective data in the server cloud. A processor activates data stores in the server cloud thereby permitting access to the SC data and granular stores based upon an application of one or more access controls thereat. The processor has a reconstruction module operating as a data process employing the respective access controls to combine one or more of the Sec-D data and granular data.
Abstract:
Method of processing and organizing (sometimes sanitizing) data throughput in an information infrastructure of a distributed computing system with configurable filters. Data stores are created with the data throughput. Filters operate on data to locate, extract, separate and store sensitive content (e.g., trade secrets) or select content (e.g., critical content) in designated, distributed data stores. Configurable filters expand sensitive/select data throughput, contract throughput, inferencing throughput, and hierarchical/orthogonal classifier filters reorganize the sensitive/select data, all to segment and store sensitive/select data in designated stores. Data output enables (a) sanitation; (b) data storage organization; (c) classification; (d) application of data processing (copying, distribution, archiving, etc.).
Abstract:
Method of organizing and storing data in an information infrastructure by either processing data throughput or a method for processing data throughput or data mining in a distributed computing system works using a tagging routine. The system and method operates on sensitive content (e.g., trade secrets) or select content (e.g., critical content) and applies configurable filters (expanding, contracting, hierarchical/orthogonal classifier filters) to separate and store sensitive/select data in designated, distributed data stores or to supplement data collections. Sensitive/select data stores may have security clearance requirements. Data output is controlled to provide one or more of storage in predetermined data stores, data mining, coping, transfer to other storage sites, supplemental data searches, and presentation subject to data inquiry.
Abstract:
Data processing method organizing and processing data in a distributed computing system. By organizing select/secret content with [enterprise and external designated] categorical filters (content, contextual and taxonomic) to create further search terms for data mining both enterprise and external data sources (databases, data collections, data stores). The result being aggregated select/secret content. The aggregated select/secret content is stored in the corresponding select/secret content data store. The aggregated select/secret content is further processed for convergent or divergent characteristics. By identifying unknown data elements, another search gathers supplemental documents. Data element ranges are set by taxonomic filter and said contextual filters. Relevancy factors are identified by relationship between input and supplemental documents. Search is controlled by user selection, continuous search, iterative search (n cycles), search within m search terms, and search time.
Abstract:
Method of organizing and storing data in an information infrastructure by either processing data throughput or a method for processing data throughput or data mining in a distributed computing system works using a tagging routine. The system and method operates on sensitive content (e.g., trade secrets) or select content (e.g., critical content) and applies configurable filters (expanding, contracting, hierarchical/orthogonal classifier filters) to separate and store sensitive/select data in designated, distributed data stores or to supplement data collections. Sensitive/select data stores may have security clearance requirements. Data output is controlled to provide one or more of storage in predetermined data stores, data mining, coping, transfer to other storage sites, supplemental data searches, and presentation subject to data inquiry.
Abstract:
Method of processing and organizing (sometimes sanitizing) data throughput in an information infrastructure of a distributed computing system with configurable filters. Data stores are created with the data throughput. Filters operate on data to locate, extract, separate and store sensitive content (e.g., trade secrets) or select content (e.g., critical content) in designated, distributed data stores. Configurable filters expand sensitive/select data throughput, contract throughput, inferencing throughput, and hierarchical/orthogonal classifier filters reorganize the sensitive/select data, all to segment and store sensitive/select data in designated stores. Data output enables (a) sanitation; (b) data storage organization; (c) classification; (d) application of data processing (copying, distribution, archiving, etc.).
Abstract:
Method of creating an information infrastructure for processing data throughput or a method for processing data throughput in a distributed computing system works on sensitive content (e.g., trade secrets) or select content (e.g., critical content) and generates or reduces sensitive/select data with configurable filters (expanding, contracting, hierarchical/orthogonal classifier filters) to separate and store sensitive/select data in designated, distributed data stores. Sensitive/select data stores may have security clearance requirements.
Abstract:
Method of creating data stores by either processing data throughput or a method for processing data throughput or data mining in a distributed computing system works. The system and method operates on sensitive content (e.g., trade secrets) or select content (e.g., critical content) and applies configurable filters (expanding, contracting, hierarchical/orthogonal classifier filters) to separate and store sensitive/select data in designated, distributed data stores or to supplement data collections. Sensitive/select data stores may have security clearance requirements.
Abstract:
Distributed computer system processes data having select content (SC) represented by one or more predetermined words, characters, etc. The system has a plurality of SC data stores in a server cloud for respective security designated (Sec-D) data and scarcity designated (S-D) data, each with respective access controls thereat. The SC data stores are is operatively coupled on a network. An identification module for identifying SC data stores for the Sec-D data and S-D data in the server cloud. A processor activates an SC data stores in the server cloud thereby permitting access to the SC data stores and respective Sec-D data and S-D data based upon an application of one or more of said access controls thereat. The processor has a reconstruction module operating as a data process employing the respective access controls to combine one or more of the Sec-D data and S-D data.