Abstract: An embodiment establishes a designated attribute value as a semantic criterion for grouping records in a bucket, identifies a first set of records having attribute values that satisfy the semantic criterion, and adds the first set of records to the bucket. The embodiment detects that the first set of records represent a first series of events that occurred in succession at respective times. The embodiment derives a temporal attribute value representative of a time pattern formed by the times of the first series of events and designates the temporal attribute value as a temporal criterion for grouping records in the bucket. The embodiment identifies a second set of records that represent a second series of events and satisfy the temporal criterion and adds the second set of records to the bucket based at least in part on the second set of records satisfying the temporal criterion.

Abstract: Disclosed are techniques for recovering power from remote vehicles near a landing surface. Air turbulence from a remote vehicle near a landing surface is detected and measured. When the air turbulence exceeds a threshold, a subset of landing surface components corresponding to sections of the landing surface with attached wind power generators are determined for wind power generation from the detected air turbulence. The wind power generators of the subset of landing surface components are exposed from their protective coverings, and the subset of landing surface components are reoriented towards the source of the air turbulence, tracking the remote vehicle generating the air turbulence. Power generated by the wind power generators can be stored and used to recharge remote vehicles that land at the landing surface.

Abstract: Configuring a data management system by receiving user interaction data associated with search results associated with a first system configuration, identifying a usage pattern in the user interaction data using a first machine learning model, and altering the first system configuration according to the usage pattern.

Abstract: An apparatus for a wearable device with expandable display strips, the apparatus includes a first layer with a first display panel coupled to a second layer with a second display panel, where the first display panel can extend and retract over a top surface of the second display panel. The apparatus also includes a first gear and rack mechanism coupled to the top surface of the second display panel and a bottom surface of the first display panel, where the first gear and rack mechanism is configured to extend and retrack the second layer with the second display relative to the first layer with the first display. Furthermore, the first layer and the second layer are arranged in a concentric manner.

Abstract: Computer system for performing biometric matching in a way that balances accuracy level required in the biometric matching against computing resources (for example, processor cycles) that will be needed to match authentication requesters with profiles of authorized users. In some embodiments, this is achieved by controlling the number of clusters and/or the number of clusters to be searched pursuant to an authentication request.

Abstract: An approach is provided for providing optimized identification of duplicate data in a networked computing environment. An aggregate feature vector is created that is specific to an attribute of the data (e.g., a field that holds specific informational content). The aggregate feature vector has a set of dimensions that each define a specific comparison function used to test for similarity between data entries in the attribute. Each dimension in the aggregate feature vector is assigned an effectiveness, and a cost is computed for each dimension. Based on these two, a subset of dimensions is selected to form an optimized feature vector. This optimized feature vector can then be used to analyze a dataset to find matching data.

Abstract: A method, a structure, and a computer system for mapping data fields. The exemplary embodiments may include, based on determining that a first data set and a second data set contain homogenous data, mapping at least one column of the first data set to at least one column of the second data set based on comparing at least one of relative column position and unique value sets. Based on determining that the first data set and the second data set contain heterogeneous data, the exemplary embodiments may include mapping the at least one column of the first data set to the at least one column of the second data set based on a difference between distribution signatures of unique value sets within each of the first data set and the second data set being less than a threshold.

Abstract: A method, a structure, and a computer system for event-based record matching. The exemplary embodiments may include extracting one or more events from a first record and a second record, as well as calculating an event-based score based on comparing the one or more events extracted from the first record with the one or more events extracted from the second record. The exemplary embodiments may further include matching the first record to the second record based on the event-based score exceeding a threshold.

Abstract: An approach is provided for providing optimized identification of duplicate data in a networked computing environment. An aggregate feature vector is created that is specific to an attribute of the data (e.g., a field that holds specific informational content). The aggregate feature vector has a set of dimensions that each define a specific comparison function used to test for similarity between data entries in the attribute. Each dimension in the aggregate feature vector is assigned an effectiveness, and a cost is computed for each dimension. Based on these two, a subset of dimensions is selected to form an optimized feature vector. This optimized feature vector can then be used to analyze a dataset to find matching data.

Abstract: A method for recording a plurality of augmented reality (AR) sessions between a set of user(s) and an AR computer system, receiving first user input, through the AR computer system and from a first user, identifying a first AR session of the plurality of AR sessions, and presenting at least a portion of the recording of the first AR session on the AR computer system for the first user.

Abstract: A method, system, and computer program product for workflow-based dynamic screen sharing in a multi-screen presentation environment are provided. The method identifies a presentation schema for a multi-screen presentation. A set of presenters are identified for the multi-screen presentation. The method determines a presentation rate of the multi-screen presentation during the multi-screen presentation. A workflow visualization is generated for the multi-screen presentation based on the presentation schema and the presentation rate. The method dynamically transitions between presenters of the set of presenters during the multi-screen presentation based on the presentation schema, the presentation rate, and the workflow visualization.

Abstract: A method for receiving an additional dataset including a plurality of additional data records; determining a record type using classifiers and an internal domain knowledge corpus; dividing the plurality of additional data records into a plurality of indexing groups; assigning the given additional data record to a match set based on completeness and similarity of natures of attributes of the given additional data record; and assigning the given additional data record to and a comparison group based on completeness and similarity of natures of attributes of the given additional data record.

Abstract: Configuring a data management system by receiving user interaction data associated with search results associated with a first system configuration, identifying a usage pattern in the user interaction data using a first machine learning model, and altering the first system configuration according to the usage pattern.

Abstract: An approach for tuning a data management system is provided. A processor retrieves one or more samples pairs of record data. A processor determines an error rate regarding the performance of a matching operation of a data management system based on the one or more sample pairs. In response to the error rate being above a value, a processor adjusts at least one threshold value associated with the matching operation of the data management system.

Abstract: A multilevel clustered data set for multidimensional vectors is created by defining a plurality of clusters based on each of the signed dimensions of the vectors, each dimension functioning as an axis. Vectors are assigned to each cluster by measuring cosine similarity between a vector and each axis. Sub-clusters are defined as ranges of cosine similarity values within a cluster, and each vector is assigned into the appropriate range based on their cosine similarity value with the axis of the cluster. Searching for a matching vector to a new vector is efficiently achieved in near-constant time by measuring cosine similarity for the new vector with each axis to identify the closest cluster, reusing the cosine similarity of the new vector and axis to determine which sub-cluster corresponds to the appropriate range of values, and then comparing each vector within the sub-cluster until a match is found or ruled out.

Abstract: A method, a computer system, and a computer program product for data validation in a microservice environment is provided. Embodiments of the present invention may include receiving a request based on an application configuration validation. Embodiments of the present invention may include determining a schema is not defined based on the request. Embodiments of the present invention may include generating the schema using machine learning. Embodiments of the present invention may include using the generated schema for a plurality of validations.

Abstract: A voice command can be received from a user. One or more voice command devices (VCDs) that the voice command is targeting can be determined. A visual indicator of each of the one or more targeted VCDs can be displayed on an XR device worn by the user, wherein each visual indicator visually indicates a respective targeted VCD the voice command is directed to on the XR device.

Abstract: Indexing and matching records in a data management system by defining entity indexing attributes associated with system records, receiving an incoming data entity, selecting a set of entity candidates according to the entity indexing attributes, matching the incoming entity to an entity candidate, generating an analysis of the entity candidate selection according to entity attribute effectiveness, and revising the entity indexing attributes according to the analysis.

Abstract: Matching records in an entity resolution system by defining entity attribute feature vectors, determining an entity attribute matching score according to a distance between two entity attribute feature vectors, assigning a statistical weight to an entity attribute matching score, adjusting the entity attribute matching score according to the statistical weight and an entity attribute frequency of occurrence, and determining an aggregate entity attribute matching score.

Abstract: A computer-implemented method includes determining, by a computer device, composite view rules for combining first data from a first data record and second data from a second data record to create a composite view of an entity in a master data management system; receiving, by the computer device, the first data; receiving, by the computer device, the second data; creating, by the computer device, the composite view from the first data and the second data based on the composite view rules; physically materializing the composite view on a storage device; preserving, by the computer device, the first data record; and preserving, by the computer device, the second data record.