Abstract: A method, system and computer-usable medium are disclosed for using travel-related cognitive graph vectors.

Abstract: Embodiments for a method performing data migration such as backups and restores in a network by identifying characteristics of data in a data saveset to separate the data into defined types based on respective characteristics, assigning a data label to each defined type, defining migration rules for each data label, discovering assigned labels during a migration operation; and applying respective migration rules to labeled data in the data saveset. The migration rules can dictate storage location, access rights, replication periods, retention periods, and similar parameters.

Abstract: A mediating method may include: preparing at least two lists that respectively correspond to different values of a specific feature and that each of which includes at least one item; receiving first information about a first terminal or a user of the first terminal from the first terminal; deriving a value corresponding to the specific feature using the received first information; selecting a first list from among the at least two lists using the derived value; determining whether a first item matching the user of the first terminal is present in the at least one item included in the first list using the first information; and when it is determined that the first item is present in the first list, transmitting second information corresponding to the first item to the first terminal, or transmitting third information corresponding to the first terminal to a second terminal corresponding to the first item.

Abstract: A method executes at a computing device that includes a display, one or more processors, and memory. The method includes receiving user input to specify a data source. The method includes receiving a first user input in a first region of a graphical user interface to specify a natural language command related to the data source. The device determines, based on the first user input, that the natural language command includes a table calculation expression. In accordance with the determination, the method identifies a second data field in the data source, Values of the first data field are aggregated for each of the time periods in a range of dates according to the second data field. A respective difference between the aggregated values for each consecutive pair of time periods is computed. A data visualization is generated and displayed.

Abstract: Various embodiments of systems and methods for attention models with random features for multi-layered graph embeddings are disclosed.

Abstract: Methods and systems for data backup are described. According to some embodiments, the method includes in response to receiving a request for database instance discovery, retrieving backup history information. The method further includes filtering the backup history information to obtain selected backup information. The method further includes sending an instance discovery response that includes the selected backup information. The method further includes generating one or more protection policies based on the selected backup information.

Abstract: A system for multi-tier visual recognition comprises a processor and a memory. The processor is configured to calculate a rank for each of a plurality of object models. The plurality of object models are used for visual recognition. Each of the plurality of object models has a size. The processor is configured to divide the plurality of object models into a plurality of sets based at least in part on the rank for each of the plurality of object models, and provide a first set of the plurality of sets to a first tier and a second set of the plurality of sets to a second tier. The memory coupled to the processor and configured to provide the processor with instructions.

Abstract: Systems and methods of the present disclosure enable distributed network request permissioning receiving, from a first node associated with a token storage, a transfer event request for a movement of a requested token amount relative to the token storage via a distributed network. A pending transfer event log is accessed that includes a total pending token amount associated with pending tokens of pending transfer event requests with respect to the token storage, and a total available token amount associated with available tokens in the first token storage. A permission is determined based on the total available token amount exceeding a sum of the total pending token amount and the requested token amount. An updated total pending token amount is determined by adding the transfer event request record to the pending transfer event log, and the transfer event request is transmitted to the distributed network to perform the movement.

Abstract: Systems and methods of the present disclosure enable distributed network request permissioning by receiving, from a first node associated with a token storage, a transfer event request for a movement of a requested token amount relative to the token storage via a distributed network and accessing a pending transfer event log recorded in an event record database, the pending transfer event log including other transfer event request records associated with other transfer event requests. A denial rejecting the transfer event request is determined based on the pending transfer event log. The transfer event request and the denial are transmitted to an approver node having supervisory permissions to approve or disapprove of event requests. A permission is received from the second node to approve the transfer event request, and a transfer event write permission determination is received by the distributed network that causes the movement to be performed.

Abstract: A computer-implemented method of associating digital tags with digital files comprises storing a plurality of digital files having embedded therein content data and metadata including tags; receiving, via a user interface device of a client device, a first tag label containing alphanumeric text created and inputted by a user of the client device; modifying, using a controller device, a selected first one of the tags of the metadata in a first of the digital files to include the first tag label; receiving, via the user interface device or another user interface device, an instruction to search for all of the digital files having at least the first tag label; responsive to receiving the instruction, automatically searching for all of the digital files having at least the first tag label; and displaying, on a video display device associated with the client device, a first indication of the first tag label.

Abstract: Systems and methods for snapshot isolation in a distributed storage system M are provided. In some examples, a method can include receiving a request for data from a data store comprising a plurality of storage nodes, the request comprising a key associated with the data and a request timestamp, identifying a storage node in the plurality of storage nodes from which to read the data based on the key and a mapping of keys to storage nodes, determining that the request is associated with a transaction comprising operations associated with at least one other storage node in the plurality of storage nodes, determining a status of the entry for the key in the key-value table based on a lookup of a transaction table using the transaction identifier, and providing the data when the status of the entry for the key indicates the data is ready to be read.

Abstract: In some examples, a system performs data deduplication using a deduplication fingerprint index in a hash data structure comprising a plurality of blocks, wherein the hash data structure is stored in persistent storage, and a block of the plurality of blocks comprises fingerprints computed based on content of respective data units. The system uses an indirect block in a memory to access a given block of the plurality of blocks in the hash data structure, the indirect block containing references to blocks of the hash data structure containing the deduplication fingerprint index, and the references indicating storage locations of the plurality of blocks in the persistent storage.

Abstract: Embodiments of goal-directed semantic search allow a user to discover how one or more entities (organizations, people, events, places, etc.) are related without having to explicitly define multiple queries to discover those relationships. In those cases in which more than one structure could be used, separate hypotheses are generated, one for each such structure or relationship. Hypotheses are scored during the process.

Abstract: Provided are embodiments of electronic document processing that include a workflow engine executing a workflow that includes verifying material data of an electronic document, providing a verified copy of the electronic document to a reviewer for review and, in response to receiving approval of the electronic document from the reviewer, obtaining a digital signature of material data of the electronic document from the reviewer. The workflow may include a similar process for multiple reviewers, and providing the electronic document to a processor for processing.

Abstract: A system comprises an interface configured to receive an identifier, a processor configured to determine a grouping associated with the identifier, wherein the grouping is determined using a first clustering, wherein the first clustering is based at least in part on a language processing system, determine a sub-grouping of the grouping associated with the identifier, wherein the sub-grouping is determined using a second clustering, determine a final identifier based at least in part on the identifier and the sub-grouping, determine a resource based at least in part on the final identifier, and store the final identifier associated with the resource, and a memory coupled to the processor and configured to provide the processor with instructions.

Abstract: Described herein is a system and method for a user accessible log of object storage change-events system. A change is detected within a cloud storage based on an unstructured storage object stored in the cloud storage. Contextual attributes of the change are identified from an updated state of the log file that stores information about the unstructured storage object. An output is provided based, at least in part, upon the detected change and at least some of the contextual attributes, wherein the output is an immutable, read-only log of change events.

Abstract: A method of determining an uncertainty estimate of an estimated velocity of an object includes, determining the uncertainty with respect to a first estimated coefficient and a second estimated coefficient of the velocity profile equation of the object. The first estimated coefficient being assigned to a first spatial dimension of the estimated velocity and the second estimated coefficient being assigned to a second spatial dimension of the estimated velocity. The velocity profile equation represents the estimated velocity in dependence of the first estimated coefficient and the second estimated coefficient. The method also includes determining the uncertainty with respect to an angular velocity of the object, a first coordinate of the object in the second spatial dimension, and a second coordinate of the object in the first spatial dimension.

Abstract: A method may include determining whether a first item description matches at least a second item description stored in a database. If the first item description matches the second item description, an ontology of the database may be updated by storing, in the database, the first item description including a first association between the first item description and a first headword associated with the second item description. Alternatively, if the first item description does not match any item descriptions in the database, a second headword for the first item description may be determined based on user inputs. Moreover, the ontology of the database may be updated by storing, in the database, the first item description including a second association between the first item description and the second headword. Related systems and articles of manufacture, including computer program products, are also provided.

Abstract: Systems and methods are disclosed for domain specific predictive model for entity assessment and valuation. In one implementation, evaluation criteria are identified. Historical data is collected with respect to one or more entities. Based on the one or more evaluation criteria and the historical data, one or more scores are reverse engineered with respect to the one or more entities. Linear regression analysis is performed on the one or more scores to build a predictive model. Analyze a new entity using the same scoring system with pre-prescribed parameters. Using the predictive model, a valuation of an entity is computed. One or more aspects of the computed valuation are presented within an interactive interface using a sensitivity analysis approach.

Abstract: A method, computer program product and computer system is disclosed that generates a set of distributed representation vectors from a dataset of textual and non-text data. In one method, a computer system receives a dataset, cleans the received dataset, parses the cleaned dataset to identify known classes of data, extracts data elements from the dataset based on the known classes of data, organizes the extracted data elements into one or more records, compiles a dictionary of unique data elements and associated codes from the one or more records, creates a set of training pairs using permutations of the codes that correspond to data elements within each record, and computes a distributed representation vector for each of the data elements in the dictionary using the set of training pairs.