Abstract: Provided are systems and methods for implementing a database notification and statistics framework. In one example, the method may include receiving a message published by a database, the message including information about a database event performed by the database, determining a publication type of the message from among a plurality of publication types based on attributes included in the message, identifying one or more database components that have subscribed to the identified publication type of the message, and transferring the information about the database event included in the message to the one or more identified database components that have subscribed to the publication type of the message.

Abstract: A log management system includes a computing system that executes a set of instructions to receive one or more search terms from a database, and identify one or more element records that match the search terms. The element records are associated with the elements of a distributed computing environment. For each matched element record, the instructions obtain any of multiple log messages associated with the matched element record from a log message database, and facilitates the display of the one or more identified element records and their associated log messages on a display.

Abstract: A computer-implemented method for unambiguously identifying entities in a database system may be provided. The method comprises storing data items as records with different attributes in a table of a database, storing naming rules for selected combinations of the attributes of the data items, and prioritizing the naming rules. The method also comprises determining a hash value for each of the selected combinations of the attributes of the data items, and identifying duplicate data items using the determined hash values and the prioritized naming rules.

Abstract: Provided is a system and method in which configuration content from central system is repackaged and distributed to applications on a host platform. In one example, the method may include receiving, via a host platform, configuration content from a central system, the configuration content comprising one or more configuration objects of a tenant, identifying an application of the tenant on the host platform which uses the one or more configuration objects based on a configuration object to application mapping, and distributing the one or more configuration objects to the identified application of the tenant on the host platform.

Abstract: According to one embodiment, a first phrase having one or more keywords is received to be added to a phrase blacklist, where the first phrase has been determined to be related to unwanted content. An analysis is performed on the keywords of the first phrase to identifying a set of one or more related phrases that are related to the first phrase. The first phrase and the set of related phrases are added in the phrase blacklist. The phrase blacklist contains a plurality of phrases that have been determined to be related to unwanted content. The phrase blacklist is utilized to prevent a content item from appearing in a search result, in response to a search query having a phrase matching at least one of the phrases in the phrase backlist.

Abstract: Provided are a computer program product, system, and method for dynamic determination of retention periods for digital content. Metadata is generated for instances of digital content including an access pattern of the digital content by a user of the computing device, attributes of the digital content, and a retention period during which the digital content stored is retained in the storage. A machine learning module is trained with input comprising the metadata for instances of the digital content to produce the retention period of the digital content. Input, comprising metadata determined from digital content, received after training the machine learning module, is provided to the machine learning module to produce an output retention period for the digital content received after the training. The output retention period is used to determine when to delete the digital received after the training content from the storage.

Abstract: A system is configured for automatic recognition of data store architecture and tracking dynamic changes and evolution in data store architecture. The system ef is a complementary system, which can be added onto an existing data store system using the existing interfaces or can be integrated with a data store system. The system comprises three main components that are configured to compose an approximation of the data store architecture. The first of these components is adapted to execute an analysis of the architecture of the data store; the second of the components is adapted to collect and compile statistics from said data store; and the third of the components is adapted to compose an approximation of the architecture of said data store.

Abstract: Systems and methods are provided for a supply knowledge portal. The supply knowledge portal provides a new metric dashboard that delivers real-time information on the status and health of the hospital supply chain. The new dashboard is driven by the transactional data generated from system point of use devices and allows end users to view data at various levels starting at the facility level and moving down to filter for specific areas, devices and, at the lowest level, items.

Abstract: Documents needing to be analyzed for various reasons, such as financial crimes, are ranked by examining the topicality and sentiment present in each document for a given subject of interest. In one approach a given document is classified to determine its category, and entity recognition is used to identify the subject of interest. Passages from the document that relate to the entity are grouped and analyzed for sentiment to generate a sentiment score. Documents are then ranked based on the sentiment scores. In another approach, a classification probability score is computed for each passage representing a likelihood that the passage relates to a category of interest, and the document is ranked based on the sentiment scores and the classification probability scores. The category classification uses an ensemble of natural language text classifiers. One of the classifiers is a naïve Bayes classifier with feature vectors generated using Word2Vec modeling.

Abstract: An engineering system for an industrial process automation system, wherein components of the industrial process automation system are each represented by a computer-based object within the engineering system and are continuously stored in an engineering database, where functions of the engineering system are made available as services via a standard service interface, process sequences and states for retrieving or processing objects stored in the engineering database are stored in an order database that is separate from the engineering database, and access to process sequences and states that are stored in the order database occurs via an order interface that is separate from the standard service interface.

Abstract: A computerized anonymous permission-based communications system is provided, including a computing device configured to display in a primary GUI network-addressable content served by a server and to receive, via an alignment GUI, a user input indicating a catalog intention for the content. The catalog intention is transmitted to a micro-catalog server to create a user micro-catalog entry. The user micro-catalog entry is indexed by an index value of the content, and includes a programmatically selected subset of content associated with the content. The computing device is further configured to receive, via the alignment GUI, user inputted permissions associated with the user micro-catalog entry. The permissions define permissible third-party communications associated with the user micro-catalog entry. The computing device is further configured to display, in the alignment GUI, the user micro-catalog entry, and present, via the alignment GUI, a third-party communication authorized by the permissions.

Abstract: The invention discloses a processing method for process changing time-series database table structure, wherein comprising following steps: an application side generates a data table containing a table name ID, a schema version, and a column ID; when a data column is increased, the application side modifies a schema of the data table, increases the schema version, assigns a new column ID number to a newly increased column incrementally, and assigns a default value to the newly increased column; according to a data insertion request of the application side, a data node receives data of a schema version carrying a data table from the application side and writes the received data, wherein writing the received data comprises: storing the schema version of the data table carried by data from the application side by the data node, and writing the received data, and writing the received data; when the data node receives new data from the application side, comparing the schema version of the data table carried by the

Abstract: A set of unstructured data is analyzed to infer structural elements from the unstructured data, and quantized data quality levels, indicative of data quality in the structural elements, are assigned to the structural elements. A set of structured data is generated to include the structural elements inferred from the unstructured data and associations between respective ones of the structural elements in the set of structured data and the corresponding quantized quality levels assigned to the structural elements. The set of structured data, including the associations between respective ones of the structural elements and the corresponding quantized quality levels assigned to the structural elements, is provided to a user interface application to enable the user interface application to visually display varying data qualities in the set of structured data.

Abstract: The electronic device includes a display, a memory, and a processor operatively coupled to the display and the memory. The processor is configured to identify a residual level of a storage space of the memory, in response to the residual level of the storage space of the memory being less than a predefined threshold value, control the display to display a file converting scheme list including a plurality of file converting schemes, select one file converting scheme among the plurality of file converting schemes, based on a received input, and perform file converting, based on the selected file converting scheme.

Abstract: In one approach, filesets to be backed up are divided into partitions and snapshots are pulled for each partition. In one architecture, a data management and storage (DMS) cluster includes a plurality of peer DMS nodes and a distributed data store implemented across the peer DMS nodes. One of the peer DMS nodes receives fileset metadata for the fileset and defines a plurality of partitions for the fileset based on the fileset metadata. The peer DMS nodes operate autonomously to execute jobs to pull snapshots for each of the partitions and to store the snapshots of the partitions in the distributed data store.

Abstract: In response to a folder event received for a first folder, a first work item is dequeued from an ID queue and metadata of the first folder, and immediate children of the first folder, is fetched and enqueued as work items in a metadata queue. If further first folder children remain to be scanned, the first work item is updated with child IDs for each immediate child of the first folder that is a folder, and it is inserted into the ID queue. In a second pass, a child ID is dequeued and metadata of immediate children of the folder associated with the child ID is fetched and enqueued as work items in the metadata queue. The second pass is repeated for all child IDs in the updated work item. This process is repeated for each generation of children of the first folder or until a specified limit is met.

Abstract: A device may transmit questionnaires to a set of client devices, wherein the questionnaires include a set of questions that relate to an internal entity experience attribute and/or an external entity experience attribute. The device may receive a set of questionnaire responses and correlate the set of questionnaire responses with contextual data relating to an entity. The device may process, using a machine learning model trained based on data relating to one or more other entities, the set of questionnaire responses and the contextual data to identify a set of features and a set of feature ranks. The device may select a subset of features based on the set of feature ranks and a set of influence thresholds. The device may generate a set of recommendations associated with the subset of features and communicate with one or more other devices to implement the set of recommendations.

Abstract: Methods, systems, and computer-readable media for auto-scaling using temporal splits in a time-series database are disclosed. One or more stream processors of a time-series database write time-series data of a plurality of time series into a plurality of two-dimensional tiles, including an individual tile representing spatial boundaries and temporal boundaries. The heat of time-series data written to the individual tile exceeds a threshold. The current time is compared to the temporal boundaries, and the comparison indicates that the current time is beyond a threshold point within the temporal boundaries. Based at least in part on the comparison, a split is performed of the individual tile into a first new tile and a second new tile. The first new tile represents the spatial boundaries and a first portion of the temporal boundaries, and the second new tile represents the spatial boundaries and a second portion of the temporal boundaries.

Abstract: Methods, systems and computer readable storage medium for updating a search engine (SE) version of a repository, the SE version of the repository maintained by a search engine system and corresponding to an SCM version of the repository maintained by an SCM system.

Abstract: Aspects of the present invention disclose a method for detecting textual inputs of a user of a social media application and derives personality characteristic insights of a user. The method includes one or more processors identifying a textual data entry to an interactive internet-based application. The method further includes determining a tone of the textual data entry. The method further includes identifying a posting account corresponding to the textual data entry. The method further includes generating a personality profile corresponding to the posting account based on the textual data entry associated with the posting account. The method further includes determining a context of the textual data entry based on semantic features of the textual data entry. The method further includes classifying the personality profile corresponding to the posting account.