6 results about "Citation database" patented technology

Embodiments of the present disclosure describe systems, methods, and computer program products for redacting sensitive data within a database. An example method can include receiving a data query referencing unredacted data of a database, wherein the data query that is received comprises a value identifying a type of sensitive data to be redacted from the unredacted data, responsive to the data query, executing, by a processing device, a redaction operation to identify candidate sensitive data that matches the type of sensitive data to be redacted within the unredacted data of the database, and returning a redacted data set in which the candidate sensitive data that is provided is based on an authentication level utilized for execution of the redaction operation.

A computer-implemented method for identifying a product citation in a document, the method comprising searching, in the document, for an entity identifier corresponding to an entity and, if an instance of the entity identifier is detected in the document, determining a portion of the document around the instance of the entity identifier as a target text, wherein the entity is associated with a product catalogue, the product catalogue comprising a plurality of product identifiers; applying a first regular expression to the target text, wherein the first regular expression is configured to match one or more of the plurality of product identifiers; and if a product identifier from the plurality of product identifiers is determined to be cited in the target text, adding an entry to a citation database linking the document and the product identifier.

It makes it easier to manage assets within commercial facilities and reduces management gaps and omissions. [Solution] A program to be executed by a computer having a processor and memory. A database stores information regarding the schedules of each asset provided in each of a plurality of commercial facilities. The program causes the processor to execute the following steps: accepting a display operation from a user who owns the plurality of commercial facilities; referencing the database based on the accepted display operation, and displaying the schedule of each asset provided in each of the plurality of commercial facilities in association with the commercial facility, and generating a calendar for each of the plurality of commercial facilities that displays the schedule of the entire commercial facility; and displaying the generated calendar on a screen viewable by the user.

A server computer system is configured to forward secure data. The system stores secure data in a database. Each unit of secure data for which the system supports forwarding is associated with a respective token. The system receives from a first server, a request comprising at least: an indicator associated with a secure data, a destination indicator, a first API key, a second API key, and a body having a predefined data format. The system validates the request based on the first API key, references the database to obtain the secure data based on the indicator and the respective token, and populates the body with the secure data. Once populated, the system transmits a second request comprising the second API key and the populated body to a second server, based on the destination indicator.

An apparatus, method, and program for detecting suspicious communications are described herein. In some implementations, the method includes managing received communications in a database by separating them as encrypted communications and as non-encrypted communications; determining whether each received communication is an encrypted communication or a non-encrypted communication; performing padding on transmission and reception size values and transmission and reception packet numbers of the non-encrypted communication to fill in a difference from the encrypted communication; generating features from the non-encrypted communication obtained after padding and registering the features in the database; training a machine learning model by using features of the non-encrypted communications registered in the database as training data; referring to the database by using information about a received encrypted communication; entering obtained features about the received encrypted communication to the machine learning model; and determining whether the received encrypted communication is a suspicious communication.

The present disclosure involves systems, software, and computer implemented methods for reordering predicates for disjunction of conjunction database queries. One example method includes receiving a disjunction of conjunctions query including a set of parameter values. An estimated selectivity of each inner predicate of the disjunction of conjunctions query can be determined, based on the parameter values. Estimated selectivities of inner predicates of the disjunction of conjunctions query that reference a database column can be determined, to generate an aggregated estimated selectivity for the database column. An evaluation order for evaluating inner predicates for the disjunction of conjunctions query can be determined, based on aggregated estimated selectivities of respective database columns. The inner predicates are evaluated, during execution of the query, based on the evaluation order and the set of parameter values.