Abstract:
Some embodiments are directed to a requesting device and a data device configured for multi-party computation to select a close record from a database. The data device performs a filtering of its candidate records by selecting candidate records from the database for which a received set of similarity values for a target record are close to a set of similarity values for a candidate record. For one or more selected candidate records, the requesting device and the data device performing a multiparty computation protocol to jointly compute a second closeness measure between the target record and the selected candidate record.
Abstract:
Discussed herein are devices, systems, and methods for dynamic IPB product updates or generation. A method can include storing, by a memory device, information used to generate IPB products, receiving, by a server coupled to the memory device, a request for an IPB product of the IPB products, receiving, by the server and from the memory device, information that satisfies conditions of a query, generating the requested IPB product based on the received information, and providing the requested IPB product to a client device.
Abstract:
A method and/or system includes: adding a new source of data to be stored in the data storage system; obtaining the schema for the new source of data to be stored in the data storage system; storing the data to be stored in the data storage system in a Not Only Structured Query Language (NOSQL) database in the data storage system; and storing schema for the data to be stored in the data storage system in a metadata store in the electronic data storage system wherein the metadata store is separate from the NOSQL database.
Abstract:
A system and method, including determining, by a processor, a data type for each column of a database table; determining, by the processor and based on the determined data type for each column of the database table, an indication of a size of the database table; calculating, by the processor and based on the determined indication of the size of the database table, a start nbit size for a nbit compression process to be used on the database table; specifying, by the processor, the calculated start nbit size for the nbit compression process; and compressing the database table by executing the nbit data compression process using the specified start nbit size.
Abstract:
A method, apparatus and computer program, in which an experience matrix (152, EX1) is built (210) based on content. The content is searched (220) using the built experience matrix (152, EX1). References are identified (230) to one or more files potentially comprising searched content. The referenced one or more files are decrypted (230) for verifying whether searched content was present in the referenced one or more files.
Abstract:
A system, method, and computer program product are disclosed for automating the import of data from a legacy business software application into an enterprise resource planning (ERP) system. An import template includes a first plurality of XML tags, each tag in the first plurality of XML tags having SQL code implementing a mandatory or optional database process for importing the data. The import template is customized according to a selected business function, using a second plurality of XML tags, to perform pre-defined mandatory and selected optional database processes and to define a mapping of legacy application data fields to ERP system database fields. At a later time, the data are imported from the legacy application according to the customized import template. Import templates may be reused to perform multiple importations, and may be separately customized for each such importation.
Abstract:
One aspect of the present invention is a system for classifying element nodes in a subtree-structured XML database. The XQE structural-textual classification system is sensitive to both the textual resemblance between document elements as well as the structural resemblance between document elements. The XQE structural-textual classification system might use the XQE parent-child index described in Lindblad II-A for the purpose of forming vectors of “terms” which encode both the structural and the textual content of XML elements. The element vectors are processed by a classifier to create class prototype vectors which can be used to classify elements as they are added to the database.
Abstract:
In an information extraction device for converting a plurality of kinds of requests into requests in an XML format by referring to a database, a server receives requests from a user, a function called up from the application of the server converts the plurality of kinds of requests converts into requests in an XML format by referring to the database, extracts results from the request and notifies a user of the results. Therefore, information about the plurality of kinds of requests can be easily and rapidly extracted and can be returned to the user.
Abstract:
Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for predicting consumer behavior. In one embodiment a method is provided comprising automatically creating a link graph comprising nodes representing webpages, links representing hyperlinks, and weights for each link representing a number of times a hyperlink associated with the respective link redirected the a user devices from a webpage associated with a first node connected to the link to a webpage associated with a second node connected to the link; and determining based on the link graph a programmatically expected path for a particular user, wherein the programmatically expected path identifies, at least, two or more webpages that the particular user is programmatically expected to visit and specifying a programmatically expected order at which the particular user will visit the webpages.
Abstract:
A system includes at least one memory storing computer readable instructions and at least one processor configured to execute the computer readable instructions to cause the system to: identify a network device instance including at least two datasources; obtain a first dataset from a first datasource of the network device instance; obtain a second dataset from a second datasource of the network device instance; merge the first dataset and the second dataset to create a combined dataset; and store the combined dataset in an indexed repository. The first dataset includes network configuration data associated with a network device and hosted by a Persistent Management Agent and the second dataset includes operational data of the network device.