Abstract: Time-series data indicating a temporal variation of an index, which indicates a usage state of each of resources that are used by multiple processes, is acquired, and an operation-data matrix including vectors is generated based on the time-series data such that each of the vectors indicates the time-series data at a predetermined time interval and includes as an element the index indicating the usage state of one of the resources at the predetermined time interval. A basis matrix including a predetermined number of basis vectors is generated by performing nonnegative matrix factorization on the operation-data matrix. Component values, which respectively correspond to the resources, indicated by each of the predetermined number of the basis vectors are extracted, and information on the extracted component values is output as usage states of the resources that are used by each of the multiple processes.

Abstract: A record system provides improved capabilities in healthcare organizations and other enterprises. The record system provides a natural language, flat field record management and file system that defines, integrates and operates using records that reflect best practices. The system further operates to establish collaborative peer networks and to evolve records which reflect best practices of the organization.

Abstract: A method includes receiving a request to perform a shuffle operation on a data stream; receiving at least a portion of the data stream including a plurality of records, each including a key; storing each of the plurality of records in a persistent storage location assigned to a key range corresponding to keys included in the plurality of records; receiving a request from a consumer for a subset of the plurality of records including a range of keys; and upon receiving the request from the consumer, providing the subset of the plurality of records including the range of keys from the one or more persistent storage locations.

Abstract: The subject matter of this specification generally relates to reconciling conflicts between replicas of data. In one aspect, a system obtains a first document that includes a first replica of an object used by an application at a first device and a second document that includes a second replica of the object used by the application at a second device. The system generates a merged document from the first document and the second document. The system determines that the first value for the first key was modified at the first device at a later time than the first value for the first key was modified at the second device. In response, the system includes, in the merged document, the first value for the first key in the first document and, for each descendant element of the first element, a value for the descendant element's key in the first document.

Abstract: In a transaction processing method performed by a database server, the server receives a transaction request to perform an operation on multiple data partitions of the database. The server obtains data snapshots of the multiple data partitions, and confirms that the data snapshots meet a consistency requirement. The Server performs the operation of the first transaction on the data snapshots, and then write the data of the data snapshots after the operation to the multiple data partitions.

Abstract: In accordance with an embodiment, described herein are systems and methods for implementing a distributed ledger a blockchain cloud service. The blockchain cloud service can include nodes of the distributed ledger and a REST proxy service component. The REST proxy service uses a service development kit for the distributed ledger to communicate with the distributed ledger, and can provide REST APIs for use by client applications to query through chaincodes, synchronously or asynchronously invoke transactions through the chaincodes, get transaction statuses, and get BCS proxy versions. The REST proxy service component can authenticate REST calls, and translate the REST calls into remote procedural calls, for use in interfacing with the distributed ledger. The REST proxy service component can further provide REST APIs that support the same functions which are provided by the BCS management console component, and provide a user interface for client applications to consume the BCS instance.

Abstract: The present disclosure relates to a method for enforcing constraints on data in a data processing system. The method comprises providing a set of constraints on the data. A first data update request may be received at the transactional engine and executes on the first dataset. A second data update request associated with the received data update request is determined and sent by the transactional engine to the analytical engine. The analytical engine executes the second data, resulting in a set of changes in the second dataset. The transactional engine commits the update of the first dataset before or after receiving the results of the checking of the set of constraints. The update on the first dataset is aborted by the transactional engine in response to receiving the results of the checking of the set of constraints, wherein the results indicate that the set of constraints are not met.

Abstract: Disclosed herein is a method and apparatus including a server (100) comprising: (i) a data store (110) comprising a plurality of stored metrics, each associated with a corresponding one of a plurality of facilities; and a processor (120) coupled to the data store (110). The server (100) is configured to receive a metric message comprising metric data associated with an identified one of the plurality of facilities. The processor (120) is configured to provide an update of the stored metric for the identified facility based on the stored metric and the metric data, such that more recent metric data contributes more to the updated metric than less recent metric data. The server 100 is configured to respond to a request message from a User Equipment (“UE”) 301,302,303 by sending, to the UE 301,302,303, a facility message indicating a degree of prioritisation for the facilities based on the updated metrics.

Abstract: Various embodiments provide a so-called companion experience in which content consumed on a primary screen can serve as a source for an automatic search that returns related content that can be presented on an auxiliary screen. The companion experience can be considered to reside in a layer that can be moved across different screens. The different screens can include different physical screens, such as those associated with different computing devices, or the same physical screen in which the companion experience would be rendered in a frame or sub-window.

Abstract: A method for generating a query of a genomic data store includes receiving, by a query generator executing on a computing device, from a graphical user interface, an identification of a first entity of a first entity class for inclusion in a resource description framework (RDF) query. The method includes receiving from the graphical user interface, an identification of a second entity of the first entity class, the second entity having a bi-directional relationship with the first entity. The method includes automatically generating an RDF query based upon the received identification of the first entity and the received identification of the second entity. The method includes executing the RDF query to select, from a plurality of genomic data sets, at least one genomic data set for at least one patient cohort. The method includes providing a listing of genomic data sets resulting from executing the RDF query.

Abstract: Systems and methods are disclosed herein for providing anticipatory search results for a query. The disclosed systems and methods comprise a search engine that receives a first search query and a second query that is a follow-on alteration of the first. If the two queries match initial queries in a previously stored chain of queries, results for the final query of the previously stored chain are returned instead of results for the second query.

Abstract: Knowledge graph systems are disclosed for enhancing a knowledge graph by generating a new node. The knowledge graph system converts a knowledge graph into an embedding space, and selects a region of interest from within the embedding space. The knowledge graph system further identifies, from the region of interest, one or more gap regions, and calculates a center for each gap region. A node is generated for each gap region, and the information represented by the node is added to the original knowledge graph to generate an updated knowledge graph.

Abstract: A computer system includes a first computer and a second computer. The second computer includes, a minimum analysis dataset in which a data item serving as an analysis target and a repetition unit are defined in advance for each analysis target and an agent. The agent receives an analysis target data fetching designation including the minimum analysis dataset, a repetition range of repeating acquisition of data, and a repetition unit. The agent generates a first process that acquires data from the first computer and a first instance that executes processing within the first process on the basis of the repetition range and the repetition unit and activate the first instance to acquire the accumulated data from the first computer. When the processing of the first instance is completed, the agent generates a second process that executes analysis processing and a second instance that executes processing within the second process.

Abstract: A query that is frequently processed to access an object storage is identified. Results from the query returned from the object storage is transformed into a relational database format as a materialized view. When the query is submitted a subsequent time, updated results are managed from the materialized view, other materialized views, and/or the object storage when needed.

Abstract: A method for querying data is provided. The method may include determining a characteristic value of a selected feature dimension among feature values of the selected feature dimension of plurality of entities and establishing a corresponding relationship between the characteristic value and the selected feature dimension. The method may also include caching the corresponding feature value into a cache memory for each entity having a feature value of the selected feature dimension being unequal to the characteristic value, and leaving the corresponding feature value without caching for each entity having a feature value of the selected feature dimension being equal to the characteristic value. The method may further include performing a first search in the cache memory to produce a first search result in response to a query request related to the plurality of entities, and generating a query result based on the corresponding relationship and the first search result.

Abstract: The system and methods described herein can classify electronic activities based on sender and recipient information. The system can determine a relationship between a sender of an electronic activity and at least one recipient of the electronic activity using a sender node profile and a recipient node profile. The system can assign a tag to the electronic activity based on the relationship between the sender and one or more recipients of the electronic activity. The system can process the electronic activity based on the assigned tag.

Abstract: A computer processing device for determining whether to allow or deny access to a database associated with the device is provided. The device is configured to determine the origin of data signed with a first key by comparing the key to one or more keys stored in a further database to identify the source of the data; search the database to determine one or more access rules associated with the source of the data, wherein the access rules define whether write access to the database is allowed or denied for the data; and allow or deny write access to the database based on the determined rule or rules.

Abstract: This disclosure relates to methods and systems for processing of sequencing data streams. The system receives sequences from a sequencer and stores them as data records on a database. The sequences are associated with a counter indicative of a number of times the associated sequence has been sequenced. The system progressively receives a further sequence as streaming data from the sequence. While receiving the further sequence, the system matches the streaming data against the stored sequences to determine a matching score. Upon the matching score exceeding a matching threshold for one of the multiple sequences in the database, the system selects the one of the sequences in the database based on the matching score and stores the further sequence on non-volatile memory where the counter value associated with the selected sequence is below a saturation threshold. The system also terminates the receiving where the counter value is above the saturation threshold.

Abstract: Various embodiments are generally directed to a dynamic, flexible acronym decoder. A user may submit a query via one of a plurality of user interfaces. Information describing the user may be received to generate a context vector for the user. The query may be processed against a database of terms using the context vector, a machine learning model, and content tags applied to terms in the database. Processing the queries against the database may return a result set, and the ML model may be used to compute a score for each result. The results may be ordered based on the scores and returned as responsive to the query.

Abstract: A method and a system for generating a digital content recommendation is disclosed. The method comprises receiving a request for the digital content recommendation. Based on the request, a set of candidate content items comprising a first content item and a second content item is generated, each content item being assigned a ranking score. A system specific popularity score and a web popularity value is determined for the first content item. Based on the system specific popularity score and the web popularity value, a popularity adjustment score is assigned to the first content item. An adjusted set of candidate content item is generated based on the popularity adjustment score. The adjusted set of candidate content items is transmitted to the electronic device for displaying thereon.

Abstract: Implementations generally relate to a method of adding asynchronous validation and conversion capabilities to web components by adding an attribute to an existing web component accessed through, for example, a GUI interface. Such attribute will specify what type of validation or formatting conversion is expected. The web component may provide feedback on errors or changes in an interactive fashion for the user based on web service data. Feedback may be provided to the user asynchronously, without waiting for all user inputs to be validated or converted before displaying the errors or changes to the user. The web component remains completely interactive to the user even while validation or conversion is in progress on the server. Furthermore, the web component will handle multiple user inputs and only display the validation or conversion results from the last user input.

Abstract: The described technology is directed towards a data transformation pipeline architecture of a data service that processes generalized datasets into datasets (e.g., video data or graph nodes) customized for a particular client device. Described herein is maintaining a set of data transformation models at a data service, and upon receiving a client request for data, selecting a relevant subset of the transformation models and arranging the subset into a data transformation pipeline. In general, the pipeline of transformation models transforms the generalized data into the format and shape that each client device expects. The subset may be selected based upon device type, device class and/or software version information (and possibly state data) sent with each data request. The transformation models may be maintained in a hierarchical data store such as files in a file system to facilitate retrieval by searching the hierarchy for appropriate transformation models.

Abstract: An Application Programming Interface (API) processes object storage requests in an object storage format that are received from client applications. A mapper maps the object storage formatted requests into database statements and executes the statements within a database management system. Results returned from the statements are mapped by the mapper to object-storage constructs and provided to the API in object storage format. The object storage formatted requests are provided from the API to the client applications to satisfy the original client applications' requests.

Abstract: A multipath explorer may allow a user to quickly visualize an entire population of data hierarchically in a tree-like structure. For example, a user can select a first filter to be applied to a data set, and the multipath explorer can display data in the data set that satisfies the first filter requirements and data in the data set that does not satisfy the first filter requirements. A second filter can be applied to the data in the data set, and the multipath explorer can display data in the data set that satisfies the first and second filter requirements, data in the data set that satisfies the first filter requirements and not the second filter requirements, data in the data set that satisfies the second filter requirements and not the first filter requirements, and data in the data set that does not satisfy the first or second filter requirements.

Abstract: Methods, systems, and computer program products for software-defined database replication for a plurality of databases. Labels are applied to each of the plurality of databases and linking rules including conditions relating to the labels are used to define database replication links.

Abstract: A database server includes a database manager and a synchronization processing unit. When the database server is in a first state in which the database server receives requests from a client, the database manager updates a database in accordance with a request from the client and registers both update data for causing another database server included in the plurality of database servers to update a database of the other database server and management information of the update data for each data management unit in a memory on the basis of the request. When the database server is in the first state, the synchronization processing unit transmits the update data registered in the memory to the other database.

Abstract: A system for providing an artificially-intelligent graph database is disclosed. The graph database has significant graph computing capabilities, which are facilitated through the integration of artificial intelligence into the graph database. The capabilities are enabled through the use of unique artificially-intelligent agents that are each responsible for a subgraph of a graph of the graph database. Each artificially-intelligent agent performs computations on the graph-structured data in each subgraph that each agent is responsible for managing. The artificially-intelligent agents may work cohesively together to provide artificial intelligence capabilities to the entire graph database. The graph database may optimize itself through intelligent local management by using the agents.

Abstract: A single storage allocation unit of a distributed storage is mapped to multiple different data temperature metric values (metric value), and each metric value calculated and produced by a data temperature generator. Each generator is designed to provide a metric value used to optimize performance of a specific data management feature for the storage subsystem. At any given point in time, the storage allocation unit has multiple up-to-date metric values available for managing the underlying data of the storage allocation unit by storage subsystems and storage management processes. Based on changing performance characteristics associated with the underlying data, a current metric value being used to manage the storage allocation unit can be dynamically switched to a different up-to-date metric value. This automatically causes the underlying storage subsystems/storage management processes to optimize arrangement and organization of the underlying data for a desired data management feature.

Abstract: A method, system, and computer program for processing records is disclosed. In some aspects, a method includes associating, on at least one of the plurality of processors, each record with a record set of a plurality of record sets. Each record set is assigned to a sub-database based on the record set. A cache is associated with each sub-database, and each sub-database and its associated cache is associated with a processor set. An affinity is created between each database cache and the associated processor set, and records are processed with the processor sets according to the associations.

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that, upon identifying a set of distribution contacts, generate clusters of distribution contacts from a sampled subset of distribution contacts and assign remaining distribution contacts from the set to the generated clusters for visualization in a user interface. By clustering a representative sample of such distribution contacts, the disclosed methods, non-transitory computer readable media, and systems can quickly analyze and identify contact characteristics in clusters of distribution contacts, including common contact characteristics exhibited by a given cluster's contacts. The disclosed methods, non-transitory computer readable media, and systems can accordingly respond to user requests for a cluster analysis by expeditiously generating cluster visualizations identifying contact characteristics of clustered distribution contacts.

Abstract: A database manager is disclosed that retrieves database records having binary encoded data from a database and instantiating objects in an in-memory database. Binary encoding compresses data, allowing many subrecords to be stored a single blob field of a database record. Retrieving chunks from storage reduces transfer time by reducing the size of data and the number of operations needed to retrieve all the subrecords. The database manager receives database access requests from a database application. Changes made to the database objects and committed by the application are written back to the persistent database as versioned delta records. In a subsequent session, loading the database from storage includes first loading the most recent snapshot record, then applying changes to the data stored in delta records. The changes stored in the delta records are applied to the data in the snapshot record in the order in which they were made.

Abstract: A relative atlas may be used to lay out elements in a digital map used in the control of an autonomous vehicle. A vehicle pose for the autonomous vehicle within a geographical area may be determined, and the relative atlas may be accessed to identify elements in the geographical area and to determine relative poses between those elements. The elements may then be laid out within the digital map using the determined relative poses, e.g., for use in planning vehicle trajectories, for estimating the states of traffic controls, or for tracking and/or identifying dynamic objects, among other purposes.

Abstract: An context-based encoding mechanism uses a predetermined number of bytes in a previous segment of a file to determine a context for the current segment. The current segment is encoded using a dictionary that corresponds to the determined context. An example method includes determining, for a first segment in a data file, a first context state based on a first context segment within the data file that precedes the first segment, identifying a first indexed dictionary from a plurality of indexed dictionaries based on the first context state, and encoding the first segment using the identified first indexed dictionary.

Abstract: An e-commerce voice response determination system is provided and generally includes a server and a customer computing device. The server may determine, based on a user query, a plurality of product descriptions. The server may determine a similarity value between the user query and each of the product descriptions based on the similarity between each word of the user query and each word of the product descriptions. The server may determine the product description with the most similarity to the user query, and provide a response to the customer computing device based on that product description. In some embodiments, the server may determine whether the user query matches a predefined query. If the user query matches the predefined query, the server provides a response to the customer computing device based on a predefined response to the predefined query.

Abstract: A machine learning (ML) based automated search system receives an entity information document including a plurality of entities and identifies new entities that are similar to the plurality of entities which are not included in the entity information document via automated searches. Entity intelligence reports are generated for the plurality of entities which are further used to extract search terms. The search terms are used for executing automatic searches for documents with relevant portions. The documents are further analyzed to identify other, new entities which are not included in the entity information document. Entity intelligence reports including information regarding the new entities are also generated. Significant attributes are determined for the entities. The significant attributes are further employed in ranking the new entities so that top ranked new entities are identified. Alerts can be generated based on the information regarding the new entities.

Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.

Abstract: Systems and methods enable intelligent online user classification and cohort detection within an electronic communications environment includes accessing electronic communication data exchanged between a plurality of online users; processing the electronic communication data by (i) extracting cohort data features from the electronic communication data; (ii) allowing the extracted cohort data features, as input, into a cohort grouping circuit; (iii) identifying, by the cohort grouping circuit, at least one cohort grouping comprising a subset of online users of the plurality of online users based on an output of the cohort grouping circuit; wherein the cohort grouping circuit uses the extracted cohort data features to generate a cohort network mapping that illustrates connections between the subset of online users defining the at least one cohort grouping.

Abstract: Systems and methods for enabling digital content aggregation and distribution are disclosed. In some aspects, the system comprises a user computing device and digital content information stores each communicatively coupled to a control circuit. The computing device comprising a display configured to render a digital content UI. The digital content information stores each comprising digital content items and associated with a unique content platform. The control circuit configured to: receive authentication data; receive a query for a digital content item of interest; access the digital content information stores; determine the presence of digital content item of interest in at least one of the digital content information stores; and transmit the digital content item of interest to the digital content UI for rendering via the display when the digital content item of interest is determined to be present in one of the digital content information stores.

Abstract: Systems and methods are provided for personalizing new song suggestions for a user. A plurality of users provides thumbs up and thumbs down ratings for a pair of songs (song A and B). A first aggregate rating for song B is calculated based on ratings given to song A by all of the users that gave a like rating to song A. Similarly, a second aggregate rating is calculated for song B based on ratings given to song B by all users that gave a dislike rating to song A. Then a user that has not previously rated song B, supplies a rating for song A. A prediction is performed of how the user will rate song B based on the user's rating of song A. For example, the first aggregate rating for song B is used if the user rated song A positively.

Abstract: A method may include directing display of a dataset menu listing datasets representative of graphs. The method may include identifying features in the datasets as corresponding to nodes and edges. The method may include selecting local or global mapping to map categorical feature values to numeric values. Local mapping may be selected in response to a distribution of feature values not corresponding across different graphs. Global mapping may be selected in response to a distribution of the feature values corresponding across different graphs. The method may include directing display of configuration settings that indicate the selection between local and global mapping for training a classification model. The method may include obtaining selected configuration settings. The method may include providing the selected configuration settings and datasets to a machine learning backend, which may utilize the machine learning algorithm, datasets, and selected configuration settings to train the classification model.

Abstract: A method and apparatus of a device that transforms data is described. In an exemplary embodiment, the device receives data from the plurality of data sources, wherein the plurality of data sources has different data formats. In addition, for each of the plurality of data sources, the device selects a first set of columns for transformation for that data source and expands the selected first set of columns into a set of rows, wherein each of the rows has an identical data format. Furthermore, the device combines the plurality of sets of rows having an identical data format into a transformed data set.

Abstract: A technique for managing a graph database provides a metamodel as a schema for a data model. The metamodel resides in the graph database and includes a set of nodes, which define respective classes of nodes that may exist in the data model. Users may operate a user interface to create new nodes in the data model as instances of the node classes defined in the metamodel.

Abstract: A method and system of graph feature extraction and graph classification based on adjacency matrix is provided. The invention first concentrates the connection information elements in the adjacency matrix into a specific diagonal region of the adjacency matrix which reduces the non-connection information elements in advance. Then the subgraph structure of the graph is further extracted along the diagonal direction using the filter matrix. Further, it uses a stacked convolutional neural network to extract a larger subgraph structure. On one hand, it greatly reduces the amount of computation and complexity, getting rid of the limitations caused by computational complexity and window size. On the other hand, it can capture large subgraph structure through a small window, as well as deep features from the implicit correlation structures at both vertex and edge level, which improves speed and accuracy of graph classification.

Abstract: The present disclosure provides a search method and apparatus and a non-temporary computer-readable storage medium. The method includes: determining at least one first search policy matching a to-be-searched query text, where each first search policy corresponds to at least one first text index field and a search weight matching the first text index field; performing a search operation for the query text based on each first text index field corresponding to each first search policy and a search weight matching the first text index field; and merging and outputting search results of all the search operations.

Abstract: A computing device displays a data visualization interface and receives user selection of a data source and a natural language command directed to the data source. The device forms a first intermediate expression according to a context-free grammar and a semantic model of data fields in the data source. In accordance with a determination that the first intermediate expression omits sufficient information for generating a data visualization, the device infers the omitted information associated with the data source using one or more inferencing rules based on syntactic and semantic constraints imposed by the context-free grammar. The device forms an updated intermediate expression, and translates the updated intermediate expression into database queries. It executes the database queries to retrieve data sets from the data source, then generates and displays a data visualization of the retrieved data sets.

Abstract: An object is to efficiently generate a list of data elements that complement a given key element. A computer includes a memory and a controller, wherein the memory stores data, and the controller performs: selection processing of selecting data elements in vicinity of a predetermined data element as cooccurrence data elements; calculation processing of calculating a degree of importance of each cooccurrence data element; and presentation processing of presenting the cooccurrence data elements.

Abstract: A system and method for controlling a headless browser automation (an automation that does not render web pages or involve direct user input), where the web portals accessed by the browser automation employ a rule system for generating web content and the rules can result in the dynamic presentation of new response elements that could not be a priori determined from existing content already encountered, or the history of interaction with the web portal. The control system has the capability to pause the headless browser automation in place, collect the new information being requested by the web portal, present the requested new information to a remote user, capture the information from the remote user, feed the information collected to the portal automation, and restart the automation from the point that it left off.

Abstract: The present invention includes systems and methods for retrieving information via a flexible and consistent targeted search model that employs interactive multi-prefix, multi-tier and dynamic menu information retrieval techniques (including predictive text techniques to facilitate the generation of targeted ads) that provide context-specific functionality tailored to particular information channels, as well as to records within or across such channels, and other known state information. Users are presented with a consistent search interface among multiple tiers across and within a large domain of information sources, and need not learn different or special search syntax. A thin-client server-controlled architecture enables users of resource-constrained computing devices to locate targeted information more quickly by entering fewer keystrokes and performing fewer query iterations and web page refreshes, which in turn reduces required network bandwidth.

Abstract: A method and server for estimating interaction data are disclosed. A user and a digital content item that the user has interacted with form an occurred pair. The method includes retrieving (i) interaction data of a first type associated with respective ones of the occurred pairs, and (ii) interaction data of a second type associated with respective ones of the occurred pairs. The first type is distinct from the second type. The method also includes (i) applying a first model to the interaction data of the first type, thereby estimating interaction data of the first type for non-occurred pairs, and (ii) applying a second model to the interaction data of the second type, thereby estimating interaction data of the second type for the non-occurred pairs. The interaction data is estimated such that the non-occurred pairs are associated with respective estimated interaction data of the first type and second type.

Abstract: An e-commerce voice representation system is provided and generally includes a server, a database, and a customer computing device. The server may generate a hierarchical ontology to semantically represent user queries generated by the customer computing device. The server may receive from the customer computing device data representing an e-commerce user query. The server may parse the e-commerce user query based on syntactic dependencies between the words in the e-commerce user query and translating those dependencies into semantic relations between the words. The received e-commerce user query may be tagged with actions, entities, and properties of the hierarchical ontology. Identified products may be linked to conceptual classes of the hierarchical ontology. Syntactic dependencies between words of the e-commerce user query may then be determined, and a semantic representation of the e-commerce user query may be generated based on the syntactic dependencies and mapping rules.