Abstract: Architecture for handling large data selections with small and substantially constant memory footprints. The architecture facilitates the creation of sets of data objects (e.g., rows) of a data source based on selection of the data objects. The set structures can be defined according to a range (span) of data objects selected and a pattern of the objects selected. These set structures are then saved in memory, rather than the data objects, to provide optimized memory usage. In a database implementation, the solution stores the set representation (the structure) in nearly a constant amount of memory, regardless of the number of rows in the grid, and regardless of the number of rows selected. Memory usage can be proportional to the number of discontinuous spans of rows selected by the user. Structures in memory can be consolidated, replaced, or eliminated dynamically as the user changes row selections and pattern criteria.

Abstract: Performing replicated data integrity, including: generating, at a first computer system, a local hash of a local dataset; replicating the local dataset; receiving, at the first computer system from a second computer system, a remote hash of a remote dataset generated from the local dataset replicated from the first computer system; and determining, based at least on a comparison of the local hash of the local dataset with the remote hash of the remote dataset, validity of the remote dataset generated from the local dataset replicated from the first computer system.

Abstract: A method of summarizing data files includes implementing, at a server, a storage event for a data file, analyzing the data file and creating a summary of the data file, and storing the summary linked to the data file.

Abstract: A method is provided for dynamic ingestion of data. The method includes detecting presence of data sets in an input queue, each data set belonging to a group. The method additionally includes fetching the data sets from each group utilizing a parallel computation engine including multiple partitioned processors, wherein each group is assigned to a partition of one of the multiple partitioned processors for processing. The method further includes processing the data sets for each group utilizing a group level process of the multiple partitioned processors to obtain resultant data sets and transmitting the resultant data sets for each group to a business logic processor pool in order to process the data sets in accordance with existing rules in order to generate a final data set.

Abstract: A file system includes: an application programming interface (API) configured to provide a file system access to an application running on a host computer; a key value file system configured to represent a file or a directory as an inode including one or more key-value pairs; a virtual file system configured to direct a file system call received from the application to the key value file system; and a key value API configured to provide the file system access to data stored in a data storage device. Each key-value pair contained in the inode includes a name of the file or the directory as a key and an identifier of a container that is associated with the file or the directory as a value. The data of the file is stored in the data storage device as being divided into one or more data blocks of a fixed size, and each of the one or more data blocks associated with the data of the file is accessible within the key value file system using the one or more key-value pairs.

Abstract: One or more embodiments of the disclosure include a character management system that determines and utilizes contextual meaning with regard to standardized image characters. In particular, the character management system determines contextual meaning with regard to standardized characters based on the manner in which the standardized characters are utilized in a repository of electronic documents. Moreover, the character management system can utilize the contextual meaning to search, recommend, analyze, and translate with regard to the use of standardized image characters.

Abstract: A memory stores a query template that describes a look-up condition for searching a database, by using a parameter to which identification information of a reference entity is assigned, and a reference point condition indicating a condition of an entity usable as the reference entity. A processor accepts designation of a first entity among a plurality of entities, detects a second entity that is reachable from the first entity via one or more links and satisfies the reference point condition, from among the plurality of entities, when the first entity does not satisfy the reference point condition, generates a query based on the detection result of the second entity and the query template, and retrieves data to be used in display processing from the database by using the query.

Abstract: Systems and methods are disclosed to implement, in a database system, global table management operations for global tables or objects that are replicated across multiple locations. In embodiments, for a regional replica of a global table, a requested change to a metadata property of the replica (e.g., an attribute data type, a write throughput limit, or a time-to-live setting) is propagated to other replicas of the global table at other locations. In embodiments, before performing the requested management operation, the database system may first verify that the operation can be successfully performed in all locations. In embodiments, the operation may be performed optimistically without verification, and rolled back if it cannot be performed everywhere. In embodiments, to serialize management operations on a global table, the database system may check for other pending management operations via a shared control object, and proceed when any pending operations are finished.

Abstract: Portions of a multidimensional index for a database table may be selectively scanned for processing queries. A query may be received for a database table with a multidimensional index. A range of the multidimensional index may be identified for processing the query. Items mapped to different portions of the query may be scanned to apply the query. Some portions adjacent to a scanned portion may be skipped upon a determination that the adjacent portion does not include items that can satisfy the query. A result based on the scan operations can be provided in response to the query.

Abstract: Data classification includes tracking classification of columns of data into data classes of a collection of classes available for classifying the columns, obtaining a target column of data, of a target dataset, to be classified into a data class of the collection of candidate classes, and classifying the target column of data into a data class of the collection of classes based on historical data classification characteristics provided by the tracking. The classifying includes selecting a group of candidate data classes of the collection of classes to compare to value(s) of the target column, the selecting excludes at least some candidate data classes of the collection from comparison to the value(s), and establishing a priority between the candidate data classes of the group of candidate classes in comparing the value(s) of the target column of data to the selected group of candidate classes.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable storage media for migrating content items from a source user account to a target user account. A user can specify content items in the source user account to be migrated to an existing or new target user account. A new content entry including an account identifier of the target account and a pointer to the content item can be created for each migrated content item. Further, a determination can be made as to whether a sharing link to each content item exists, and if so, the content pointer of the old content entry is modified to forward or redirect to the new content entry. An active flag associated with the old content entry can be set to false or 0 to indicate that the old content entry is no longer active.

Abstract: A determination is made, by a first device, that data in a first database is modified. The first database is associated with the first device. A notification is generated by the first device. The notification includes information associated with the data modification in the first database. The notification is transmitted by the first device to at least one second device. At least one second database is associated with the at least one second device.

Abstract: A replica database may receive a replication instruction from a master. The replica may maintain a version of a collection of data in database pages stored on a storage device. A replication thread may process the instruction. The replication thread may determine that an item affected by the instruction is located in a page that is both loaded into a memory buffer and subject to contention. The page may be modified with information indicating that the instruction has not been processed. A subsequent reader thread may, while processing a request to access the page, apply the instruction and complete processing of the request.

Abstract: A system includes acquisition of data from a first data source, identification of logical entities of a first data model of the first data source based on the data of the first data source, identification, for one or more of the logical entities of the first data model, of a respective knowledge vault entity described by first metadata, and generation of second metadata describing a plurality of semantic layer entities, the second metadata describing a semantic layer entity comprising at least one semantic attribute of a knowledge vault entity corresponding to the semantic layer entity.

Abstract: A data classification apparatus capable of quickly determining an emotion of a driver includes an input device in which a target emotion and an accuracy expectation value of the target emotion are inputted, and a controller rearranging a pre-stored data structure based on the target emotion and the accuracy expectation value of the target emotion, wherein the controller rearranges the data structure so that an accuracy value of the target emotion is secured as much as the accuracy expectation value.

Abstract: In some examples, a computing device refines feature information of query text. The device repeatedly determines attention information based at least in part on feature information of the image and the feature information of the query text, and modifies the feature information of the query text based at least in part on the attention information. The device selects at least one of a predetermined plurality of outputs based at least in part on the refined feature information of the query text. In some examples, the device operates a convolutional computational model to determine feature information of the image. The device network computational models (NCMs) to determine feature information of the query and to determine attention information based at least in part on the feature information of the image and the feature information of the query. Examples include a microphone to detect audio corresponding to the query text.

Abstract: A historian system enables the creation, storage, and retrieval of extended metadata properties. A tag metadata database module of the historian system stores tag metadata received over a network connection in a tag metadata database and retrieves tag metadata in response to requests received over the network and from within the historian system. An extended property database module creates extended properties associated with a tag metadata instance in response to requests, stores the created extended properties, and retrieves the stored extended properties in response to requests. The extended property search index module indexes extended properties as they are created, searches the indexed extended properties in response to requests, and provides the indexes of extended properties to enable location of the extended properties in the extended property database.

Abstract: A computer-implemented method includes: acquiring question information and question area information from a questioner terminal; acquiring pieces of answer area information from an answerer database; selecting one or more answerer terminals from among terminals based on the pieces of answer area information and the question area information; transmitting the question information to the answerer terminals; acquiring at least one piece of answer information from at least one of the answerer terminals; and transmitting the at least one piece of answer information to the questioner terminal.

Abstract: In one embodiment, a theme may be obtained. A search query may be executed to identify a plurality of search results pertaining to the theme. A plurality of topics pertaining to the theme may be identified from the search results. Search log data pertaining to the plurality of topics may be ascertained from a search log. The plurality of topics may be ranked based, at least in part, upon the search log data. At least a portion of the plurality of topics may be provided according to the ranking.

Abstract: A visual analytics method and system is disclosed for visualizing an operation of an image classification model having at least one convolutional neural network layer. The image classification model classifies sample images into one of a predefined set of possible classes. The visual analytics method determines a unified ordering of the predefined set of possible classes based on a similarity hierarchy such that classes that are similar to one another are clustered together in the unified ordering. The visual analytics method displays various graphical depictions, including a class hierarchy viewer, a confusion matrix, and a response map. In each case, the elements of the graphical depictions are arranged in accordance with the unified ordering. Using the method, a user a better able to understand the training process of the model, diagnose the separation power of the different feature detectors of the model, and improve the architecture of the model.