Abstract: A computer-implemented method for sharing access to a database of records relating to clinical trial investigators amongst a number of users is disclosed. Each record includes a number of data fields associated with a clinical trial investigator and has associated metadata indicating a record owner. The method comprises: a) receiving a database query from a first user; b) resolving the query using a first subset of the records in the database including only those records for which the associated metadata indicates that the record owner is the first user and those records for which the associated metadata indicates that the record owner is another user which has registered a sharing rule in respect of the first user, whereby the first user is granted permission to access its records; and c) generating a result set including only those records used to resolve the query that satisfy the query.

Abstract: A method and a system for efficient data archiving and retrieval in a distributed search and analytics environment are disclosed. The method includes ingesting a real-time data stream from at least one data source. The method further includes segmenting the ingested data stream into at least one segment and storing each of the at least one segment across a set of nodes in at least one search engine cluster. The method further includes capturing and storing a set of resiliency snapshots of the at least one segment within the at least one search engine cluster after a first predefined time period. Thereafter the method includes creating at least one index snapshot based on the stored set of resiliency snapshots through a clone API after a second predefined time period and mounting the at least one index snapshot onto an archival search engine cluster using a mount option.

Abstract: A system and method prioritizes and presents heterogenous medical data. The method includes retrieving medical data of a patient, the medical data including data from multiple data sources. The method includes phenotyping the medical data to generate a reasoning trail and reasoning outcome including one or more codes, the reasoning trail including a basis for which the reasoning outcome is determined. The method includes assigning a relevance score to each of the one or more codes. The method includes ranking the codes based on the relevance score of each of the one or more codes. The method includes displaying the codes in rank order.

Abstract: Embodiments of the present disclosure provide systems and methods for matching data entities across disparate datasets. One method may include generating a reference numeric vector for a reference data object and generating a plurality of match candidate numeric vectors for a plurality of match candidate data objects. The method may also include identifying a subset of match candidate data objects from the plurality of match candidate data objects and generating a plurality of data features based on a comparison between one or more reference object attributes corresponding to the reference data object and one or more matching object attributes corresponding to the subset of match candidate data objects. The method may also include identifying a match between the reference data object and a match candidate data object of the subset of match candidate data objects based on the plurality of data features.

Abstract: Embodiments are directed to managing file systems. Update information associated with a change of a metric associated with a target object may be provided. A journal that includes a base bin that includes base records that associate the metric with each object in the file system. Records that include the change of the metric associated with the ancestors of target object may be generated. Another record that includes the change of the metric associated with the target object may be generated. A level bin associated with the base bin of the journal may be provided based on the update information. The records may be stored in the level bin using a sort order based on the ordering of the base bin records. In response a query, the journal may be employed to reduce latency in generating query results.

Abstract: Techniques for contextual search on multimedia content are provided. An example method includes extracting entities associated with multimedia content, wherein the entities include values characterizing one or more objects represented in the multimedia content, generating one or more query rewrite candidates based on the extracted entities and one or more terms in a query related to the multimedia content, providing the one or more query rewrite candidates to a search engine, scoring the one or more query rewrite candidates, ranking the scored one or more query rewrite candidates based on their respective scores, rewriting the query related to the multimedia content based on a particular ranked query rewrite candidate and providing for display, responsive to the query related to the multimedia content, a result set from the search engine based on the rewritten query.

Abstract: A method includes detecting, by at least one hardware processor, a change request for a table of a database, the table comprising a plurality of micro-partitions. A transaction associated with the change request is executed at a first timestamp. The transaction causes replacement of a first micro-partition of the plurality of micro-partitions with a second micro-partition. A change tracking column is generated in the second micro-partition. The change tracking column comprises metadata for the transaction. A delta for the table between the first timestamp and a second timestamp is generated using the metadata in the change tracking column. The delta indicates changes made to one or more rows of the table between the first time stamp and the second timestamp.

Abstract: A computer-implemented method, according to one approach, includes: receiving a request to create a new node in a clustered filesystem. In response to receiving the request, a copy of details is retrieved, the copy of details being associated with an established singleton cluster preconfigured to access the clustered filesystem. The retrieved copy of details are further applied to a new node in the clustered filesystem. Moreover, data structures of the new node are modified according to the received request. Other systems, methods, and computer program products are described in additional approaches herein.

Abstract: A method for using a compiler to modify prompts for MLMs used to generate database queries includes receiving, at a query compiler, a first query of a database. The first query is at least in part generated by an MLM. The method includes determining, by the query compiler, whether the first query comprises an uncorrectable error. The method includes, responsive to determining that the first query comprises an uncorrectable error, generating a prompt element that describes the uncorrectable error and that is structured for inclusion in a prompt requesting the MLM to generate a modified first query that corrects the uncorrectable error. The method may include generating the prompt for the MLM, providing the prompt to the MLM, and responsive to providing the prompt, receiving, at the database query compiler, the modified first query that corrects the uncorrectable error.

Abstract: In an embodiment, a set of data instances associated with a domain is received. A set of simplification rules is applied on the received set of data instances. A set of simplified representations associated with the received set of data instances is determined. A set of transformation rules on the is applied received set of data instances. A set of graph representations associated with the received set of data instances is determined. A set of first lambda functions is executed on a set of representations. The set of representations includes at least one of the determined set of simplified representations or the determined set of graph representations. A set of instance properties associated with the set of representations is determined. The set of representations is analyzed. First information associated with the set of representations is rendered based on the analysis of the set of representations.

Abstract: Systems, computer program products, and methods are described herein for combinatorial data outlier detection via database query statement generation. A table comprising rows and columns is received, wherein each column comprises records and a corresponding data element. A datatype to be assigned to each data element is determined, based on each column and using a first machine learning model. Conditions are generated for columns corresponding to each data element. The conditions are combined into a predetermined number of condition combinations, wherein the condition combinations comprise combinatorial sequencing of the conditions. A query statement is generated for each of the condition combinations. The table in queried with each query statement to determine query results. A data element quantity and a record quantity in the query results are determined for each query statement.

Abstract: A method for controlling an artificial intelligence (AI) device can include obtaining, via a processor in the AI device, a knowledge base including a plurality of nodes, and flattening, via the processor, the knowledge base by transforming the knowledge base into a first plurality of documents, each of the first plurality of documents identifying a node within the knowledge base. Also, the method can further include receiving, via the processor, a user query, performing, via the processor, matching based on the user query and the first plurality of documents to generate a ranked results list, reducing, via the processor, the ranked results list based on a reducing operation to generate a reduced list, and outputting, via the processor, linked entities based on the reduced list.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for capturing snapshots of digital content displayed on a client device and searching through the captured content. The disclosed systems provide a search function for effectively traveling back in time to identify digital content previously displayed on a client device. The disclosed systems provide options for capturing snapshots of content displayed on a display screen, extracting data from the snapshots, and storing the snapshots for use when populating search results. The disclosed systems utilize machine learning models to extract text and/or to generate text versions of snapshots including extracted text, descriptions of images, transcripts of videos, and/or textual summaries from displayed documents or webpages. In response to a search query, the disclosed systems can produce search results that include digital videos including captured snapshots of content displayed by a client device over time.

Abstract: A container prioritization process helps schedule backups of containerized data based on defined attributes and historical data. Containers are classified using a KNN-based classifier based on attributes. A tagger component assigns a priority tag to each container. Containers are backed up by a backup server through a schedule based on the priority tags of the containers. New containers are automatically classified and tagged within the prioritization schedule using the KNN-based classifier.

Abstract: A computing threat detection rule method and system for performing the method. The method includes determining identifiers for data points. One or more terms for each of the data points are determined to determine terms respectively associated with the identifiers. Collections of identifiers respectively associated with the terms are determined, the number of identifiers in each of the collections of identifiers limited to a threshold number. Conditions of a rule are determined. The conditions of the rule are compared to the terms to determine matching terms respectively associated with corresponding collections of identifiers. An intersection of the corresponding collections of identifiers is determined, and a number of the data points covered by the rule is determined based on the intersection of the corresponding collections of identifiers. A transmission is performed based on the number of the data points covered by the rule.

Abstract: A request to query sampled data of a database is obtained. Based on the request, a determination is made as to whether access to the sampled data of the database is to be allowed. To determine whether access to the sampled data of the database is to be allowed, a query domain defined for the query is checked with a data domain defined for the sampled data. Based on determining that access is to be allowed, access to the sampled data, via the query, is allowed.

Abstract: Creating an object is disclosed. An instance of a sharable type is created. An instance of a lightweight type is created. The sharable type is designated as a parent of the lightweight type. The instance of the sharable type is designated as a parent of the instance of the lightweight type. The instance of the sharable type is shared by one or more other instances of the lightweight type.

Abstract: Data backup, restore, and synchronization methods for multiple devices are provided. The data backup method applied for a local device of the multiple devices includes 1) sending a querying packet including a group identifier to at least one of the multiple devices to search for at least one backup provider; 2) receiving at least one response packet including the group identifier to make a backup plan; 3) preparing a data block and setting at a shared memory of at least one backup service provider based on the backup plan to generate a data packet including the group identifier and the data block; and 4) sending the data packet to the at least one backup service provider to back up the data block to the shared memory.

Abstract: A system and method of processing a search request is provided. Identification of a desired content item is based on comparing a topic of the search request to previous user input. The method includes providing access to a set of content items with metadata that describes the corresponding content items and providing information about previous searches. The method further includes receiving a present input from the user and determining a relatedness measure between the information about the previous searches and an element of the present input. If the relatedness measure is high, the method also includes selecting a subset of content items based on comparing the present input and information about the previous searches with the metadata that describes the subset of content items. Otherwise, the method includes selecting a subset of content items based on comparing the present input with the metadata that describes the subset of content items.

Abstract: A system and method of processing a search request is provided. Identification of a desired content item is based on comparing a topic of the search request to previous user input. The method includes providing access to a set of content items with metadata that describes the corresponding content items and providing information about previous searches. The method further includes receiving a present input from the user and determining a relatedness measure between the information about the previous searches and an element of the present input. If the relatedness measure is high, the method also includes selecting a subset of content items based on comparing the present input and information about the previous searches with the metadata that describes the subset of content items. Otherwise, the method includes selecting a subset of content items based on comparing the present input with the metadata that describes the subset of content items.