Abstract: A legal spend management solution is described herein, a solution that utilizes improved machine learning algorithms to match lines of a legal invoice to lines in a receipt from a set of receipts. The matching uses cosine similarity algorithms and Levenshtein distances to determine whether there is a match between the receipt and the invoice lines. The machine learning results are displayed using a novel set of icons that present the confidence score with a set of three squares below a document icon.

Abstract: Systems and methods for automated techniques that generate queryable database table ownership attribution information in real-time. In addition to generating ownership attribution information, system and methods provide a novel framework for creating bi-partite graphs and generating insightful graph data.

Abstract: An electronic device and method for providing a user interface for a cognitive search in content is provided. The electronic device controls a display device to render an application interface that includes UI elements. The UI elements include a UI element to select media items, a UI element to select input data to be used for search inside content of each media item, and interactive UI elements to configure parameters that control the search inside the content or a metasearch within results of the search. The electronic device receives an input via the UI elements and transmits a search request to a search engine system. The electronic device receives a search result that identifies, from within the content or associated metadata, content elements that match the input data and satisfy the parameters. The display device is controlled to render the search result onto the application interface.

Abstract: At an artificial intelligence system, during a labeling feedback session, a visualization data set is presented via a programmatic interface. The visualization data set comprises a representation of data items for which labeling feedback is requested for generating a training set of a classifier. At least one of the data items is selected based on an estimated rank with respect to a metric associated with including the data item in a training set. During the session, respective labels for the data items and a filter criterion to be used to select additional data items are obtained. A classifier trained using the labels is stored.

Abstract: Systems, computer program products, and methods are described herein for authorizing a database model using distributed ledger technology. The present invention is configured to receive, from a computing device of a user, a physical database model; determine one or more data sources; initiate a second machine learning model on the one or more data sources and the physical database model; determine at least one data source that is likely to be triggered when populating a database created using the physical database model; generate a new transaction object for the physical database model; broadcast the new transaction object for the physical database model to the at least one data source in a distributed ledger for validation; receive a validation of the physical database model; and authorize a generation of a database using the physical database model based on at least receiving the validation.

Abstract: According to the embodiments of the present disclosure, there is provided a method and device of detecting fault in production, and a computer readable storage medium. The method includes: determining whether a plurality of production paths in a production line are faultless in one or more production batches, based on production record data; and determining at least one of the plurality of production paths to be faulty, at least partially based on whether the plurality of production paths are faultless in the one or more production batches.

Abstract: Embodiments of the present invention provide a data management technology. An OSD receives a strip write request sent by a client server, where the strip write request carries a to-be-written strip, a version number of the to-be-written strip, an offset of the to-be-written strip, and an object ID of the to-be-written strip; and the OSD writes the to-be-written strip into a storage location determined by using the object ID, the version number of the to-be-written strip, and the offset of the to-be-written strip. By applying the present invention, a quantity of object IDs can be reduced.

Abstract: A method and system for dynamically determining a minimum support for automation mining is provided. The method and system include modifying the minimum support pattern such that the minimum support can result pattern mining algorithms finding a sufficient number of patterns in a practical duration.

Abstract: Disclosed are methods and systems for Semantics Node functions which provide semantics support in machine-to-machine systems. In an example, a Semantic node may manage semantics resources capable of being discovered, retrieved, or validated by other devices. In another example, the Semantics Node may be discovered by other nodes, and semantics resources may be discovered with subscription mechanisms.

Abstract: Methods, systems, and programming for retrieving content items for a search are described herein. In a non-limiting embodiment, a query including a plurality of terms may be received. For each of the plurality of terms, a posting list of one or more content items may be obtained. The posting list may include a ranked list of term scores corresponding to the one or more content items, each of the term scores being indicative of a level of relevance of a corresponding content item to a term associated with the posting list. A list of relevant content items for the query may be determined based on the term scores in each posting list for the one or more content items identified with respect to each term. At least one of the relevant content items may be provided as a response to the query.

Abstract: A method, apparatus, and system for managing file level restore agents is provided. The operations comprising: determining a computing resource usage level at a data protection appliance; determining whether the computing resource usage level at the data protection appliance is below a first threshold; in response to determining that the computing resource usage level at the data protection appliance is below a first threshold, assigning a new file level restore-associated job to a first tier file level restore agent for performance; and in response to determining that the computing resource usage level at the data protection appliance is not below a first threshold, assigning the new file level restore-associated job to a second tier file level restore agent for performance.

Abstract: Content items are rearranged within a digital collaboration space (e.g., a digital whiteboard) based on category metadata determined for the content items using one or more learning models. The content items are added to the digital collaboration space by one or more users. For each of the content items, category metadata is determined using a learning model that processes information associated with the content item. A rearrangement of the content items is determined based on the category metadata determined for each of the content items. The content items, rearranged according to the rearrangement, are then output to a layer of the digital collaboration space. Other rearrangements of the content items can be determined based on non-category metadata associated with the content items, and the content items, rearranged according to those other rearrangements, can be output to other layers of the digital collaboration space.

Abstract: Methods, systems, and computer program products for optimization of query processing in a data federation system using priority queuing techniques are provided. Priority queuing techniques may include generating a query vector corresponding to a query, comparing the query vector to historical query vectors to determine similarity, determining an expected processing time for the query based on the determined similarity, and inserting the query into a priority ordered queue at a particular position based on the expected processing time.

Abstract: Some embodiments improve object accessibility within a user interface based on a set of access patterns associated with the object. Improving accessibility for an object may include positioning a shortcut for the object to allow for quick access to the object. Another example includes executing commands to traverse a user interface, without receiving user input, to display a screen for accessing the object. Another example includes establishing a connection for accessing the object prior to receiving a request to access the object. A trigger for improving the accessibility for the object may be programmed based on a set of conditions detected when the object was previously accessed. Thereafter, detection of the same set of conditions triggers an improvement in the accessibility for the object. When the set of conditions corresponding to the trigger is no longer detected, the system may revert back to the default accessibility for the object.

Abstract: A system includes a processor and a memory storing multiple records in a key-value data structure and processor executable instructions for managing access to records in the key-value data structure. The instructions are executable to perform operations including managing a shared atomic epoch counter and thread epoch counters, determining a maximal safe epoch as a function of the shared atomic epoch counter and the thread epoch counters, maintaining a drain list of trigger actions, and triggering the trigger actions in the drain list as a function of an update of the shared atomic epoch counter and the maximal safe epoch.

Abstract: System generates data structure based on unique identifiers of objects in storages and sets indicators in positions corresponding to hashes of unique identifiers of objects. The system copies active objects from one storage to another, if number of active objects in storage does not satisfy threshold, and resets indicators in positions in data structure corresponding to hashes of unique identifiers of active objects copied to the other storage. The system generates another data structure based on unique identifiers created while generating data structure, positions in other data structure corresponding to hashes of the unique identifiers. System sets indicators in positions in the other data structure corresponding to hashes of unique identifiers of data objects in active storages while generating data structure. System resets indicators in positions in data structure corresponding to hashes of the unique identifiers corresponding to indicators set in positions of the other data structure.

Abstract: The claimed subject matter includes techniques for offline evaluation of ranking functions. An example system includes a first module configured to receive production log data, the first module to pre-process the production log data to generate an exploration data set. The example system also includes a second module configured to perform offline estimation of online metrics for ranking functions using the exploration data set. The example system also includes a third module to evaluate a proposed ranking function by comparing the estimated online metrics to a set of baseline metrics of a baseline ranking function and detecting that the estimated online metrics of the proposed ranking function exceed, are lower than, or are within a predetermined range of the baseline metrics.

Abstract: A cardinality of a query is estimated by creating a join plan for the query. The join plan is converted to a graph representation. A subtree graph kernel matrix is generated for the graph representation of the join plan. The subtree graph kernel matrix is submitted to a trained model for cardinality prediction which produces a predicted cardinality of the query.

Abstract: Methods and systems are provided for enhanced data loss prevention. The enhanced data loss prevention may be applied to data that is structured and/or semi-structured data, with the data comprising a plurality of records and a plurality of categories, with each record comprising a plurality of fields, each of which being associated with a different one of the plurality of categories. The enhanced data loss prevention may comprise selecting a subset of records of the data, with the selected subset comprising at least two records having between then one or more records not included in the subset. The fields of the selected subset may be scanned for sensitive information, and a likelihood to contain the sensitive information may be computed for each category based on the scanning. A subset of categories may be selected based on the computed likelihoods, and the sensitive information in the selected subset may be searched.

Abstract: A system and method are presented in which known genetic attributes associated with a condition are used to seed the determination of additional attributes which are associated with the condition. Based on the learning, the additional attributes (genetic, behavioral, or both) provide for an increased correlation between the combined attributes and the condition. For behavioral attributes, a measure of the impact of the behavioral attribute on the risk of the condition can be transmitted to another device or system.