Abstract: Improved technological solutions are introduced for providing a secure and effective and enhanced clustering/grouping solution that is useful, for example, in an online dating forum as well as any number of other industries. The ability to attend live events in person or remotely is coupled with presence location and automatic verification of user devices and identities. This allows secured communication between participants without having to disclose actual contact information of the participants or their device addresses. An improved algorithm that groups members/items effectively based on a variety of matching criteria, with lowered possibilities of errors and more efficient use of processing power, is now introduced.

Abstract: In some examples, a system may determine a mountpoint included in a first filesystem for mounting a userspace filesystem. For instance, the userspace filesystem may be executable in a userspace provided by an operating system. The system may determine a bind mount path for a mount path corresponding to the mountpoint. The system may bind mount, to the determined bind mount path, at least a portion of a second filesystem associated with the mount path corresponding to the mountpoint. In addition, the system may mount the userspace filesystem at the mountpoint, and may incorporate data from the second filesystem into the userspace filesystem through the bind mount path.

Abstract: Systems and methods for automated data curation and presentation are disclosed herein. The system can include a memory including a structured database and a plurality of storage bins. The system can include at least one server that can receive a packetized data file generated from a data file. This packetized data file can include a first packet generated from a content file of the data file, a second packet generated from metadata of the data file, and a third packet generated from a payload of the data file. The at least one server can automatically generate at least one tag for the packetized data file, which at least one tag is automatically generated based at least one key phrase identified in at least the targeted portion of the content file.

Abstract: An apparatus comprises a processing platform implementing a data set discovery engine and a data set valuation engine. The data set discovery engine is configured to generate data set similarity measures each relating a corresponding one of a plurality of data sets to one or more other ones of the plurality of data sets. The data set valuation engine is coupled to the data set discovery engine and configured to generate valuation measures for respective ones of at least a subset of the plurality of data sets based at least in part on respective ones of the data set similarity measures generated by the data set discovery engine. For example, the data set valuation engine may generate the valuation measure for a given data set as a function of valuation measures previously generated for respective other data sets determined to exhibit at least a threshold similarity to the given data set.

Abstract: An intelligent method of handling incremental backups concurrent with load balancing movement. The file system uses placement tags, incremental backup requests and capacity balancing data movement to make intelligent decision to avoid affecting any backup windows for clients or backup apps. The file system tracks capacity balancing file movements inside the cluster. When switching locations of files in a cluster from one node to another, it is performed as an atomic change of switching inode attributes by the file system after the contents of the file have been copied over to the new node. During the file movement for capacity balancing, the file system handles requests for full backups differently than requests for incremental backups. The file system continues to handle virtual systhesis and fastcopy requests on the node that hosts the previous backup to ensure that the incremental backup succeeds with the expected smaller backup window from the client.

Abstract: Systems and methods are described for processing ingested data, detecting anomalies in the ingested data, and providing explanations of a possible cause of the detected anomalies as the data is being ingested. For example, a token or field in the ingested data may have an anomalous value. Tokens or fields from another portion of the ingested data can be extracted and analyzed to determine whether there is any correlation between the values of the extracted tokens or fields and the anomalous token or field having an anomalous value. If a correlation is detected, this information can be surfaced to a user.

Abstract: A system, method, and machine-readable storage medium for forming a community based on a common set of attributes are provided. In some embodiments, the method includes creating a list of entities associated with a plurality of users, each entity included in the list of entities being accessed by a user of the plurality of users. The method also includes identifying a first entity accessed by a group of users of the plurality of users. The method further includes determining a first set of entities accessed by each user of the group of users, the first set of entities being included in the list of entities. The method also includes removing the first entity and the first set of entities from the list of entities. The method further includes forming a first community including the group of users, the first entity, and the first set of entities.

Abstract: Disclosed herein are system, method, and computer program product embodiments for using a data statistic as a dynamic data integrity constraint. An embodiment operates by defining a data statistic for a column or a set of columns of a partition of a plurality of partitions of a database table. The embodiment creates a constraint data statistics object based on the data statistic. The embodiment receives a query for the database table. The embodiment determines the constraint data statistics object is consistent with a data state of the partition. The embodiment derives an implied constraint based on the constraint data statistics object. The embodiment processes the query for the partition based on the implied constraint.

Abstract: This disclosure relates to an account filtering method and apparatus.

Abstract: A system, method, and machine-readable storage medium for resolving a candidate community are provided. In some embodiments, a method includes obtaining a candidate community and a neighbor set for the candidate community, the neighbor set including zero or more stable communities. The method also includes resolving the candidate community as being a new stable community if the neighbor set is empty. The method further includes resolving the candidate community as being part of a matching stable community if a hash value of the candidate community matches a hash value of one or more stable communities included in the neighbor set. The method also includes resolving the candidate community as being a new stable community if an entropy value is greater than a threshold, the entropy value being based on the candidate community and the neighbor set.

Abstract: A method and a corresponding system for deploying changes in a computer system, in particular an industrial computer system, includes a database and an old version of the system to be updated. The method includes providing a new version of the system and providing a merge view capable of reading data from the database and furnishing the data to the new version. The database contains at least an old table readable by the old version and the merge view can read data from the old table and furnish them to the new version.

Abstract: The subject technology provides information, corresponding to properties of a build side of a join operation, to a bloom filter. The subject technology, based at least in part on the information from the bloom filter, determines, during executing of a query plan, at least one property of the join operation to determine whether to switch an aggregation operator to a pass through mode, the at least one property comprising at least a reduction rate. The subject technology, switches, in response to the reduction rate being below a threshold value, the aggregation operator to the pass through mode during runtime of the query plan and, while the aggregation operator is in the pass through mode, an input stream of data goes through the aggregation operator without being analyzed and the input stream of data matches an output stream of data flowing out of the aggregation operator.

Abstract: Disclosed herein are system, method, and computer program product embodiments for determining a constraint data statistics object is consistent. An embodiment operates by receiving a query for a database table. The embodiment determines a constraint data statistic object associated with a partition of the database table. The embodiment determines the constraint data statistics object is consistent with a data state of the partition of the database table based on consistency metadata of the constraint data statistics object. The embodiment processes the query for the database table based on the determining the constraint data statistics object is consistent with the data state of the partition of the database table.

Abstract: This disclosure provides a knowledge base system and method for curating both factual and logical knowledge while using a common data storage repository. According to an exemplary embodiment, a knowledge base stores complied Boolean information which represents factual knowledge and logic for interpreting the factual knowledge. Combining the knowledge base, i.e., functional logic knowledge (FLK) repository, with a logic evaluator creates a knowledge abstraction layer.

Abstract: The computerized method is shown and includes obtaining input at a local electronic device, generating a first result by processing the input according to a first rule set, wherein the first result provides a current status or a predicted status of the electronic device and transmitting the first result or indicia thereof to a remote server computer system. The computerized method additionally includes receiving a communication from the remote server computer system, wherein the communication includes an instruction to enable a second rule set, responsive to receiving the communication, enabling the second rule set, obtaining subsequent input at the local electronic device, and processing the subsequent input according to the second rule set. The computerized method may further include performing a statistical analysis on the input, and generating a predicated status of the electronic device based on an extrapolation process using a result of the statistical analysis.

Abstract: The present teaching relates to a method and system generating a data sketch. A plurality of local data sketches are generated, wherein for each local data sketch, it is determined whether a propagation condition is satisfied. In response to the condition being satisfied, the local data sketch is processed when a synchronization parameter satisfies a criterion. The synchronization parameter is set to a predetermined value to enable propagation of the local data sketch to the data sketch. Upon the local data sketch being propagated to the data sketch, the above steps are repeated.

Abstract: Content items queued for synchronization between a client device and a content management system can be automatically prioritized to improve the sharing process. That is, the content items can be prioritized based on whether a share link has been created to the content item. A share link can enable a user to access the shared content item from a content management system. Content items that have been shared using a share link can be given higher priority to be synchronized prior to content items that have not been shared. The queued content items can be synchronized in the synchronization order resulting from the prioritization. Further, multiple shared content items queued for synchronization can be sub-prioritized based on one or more sub-prioritization criteria.

Abstract: A system and method for aggregating account data, and more specifically, a system and method for aggregation of financial account data that provides enhanced privacy and security protections to a user by enabling the user to maintain custody of his or her login credentials. A syncing agent in coordination with a system add-on coordinates log-in to a remote system and storage of session information. Syncing agent utilizes the session agent to retrieve additional information on behalf of the user or perform other tasks on the remote server.

Abstract: A garbage collection assisted deduplication process determines whether or not data segments should be deduplicated or not based on the liveness of segment data in a region, and the number of segments subject to deduplication in the region. Ingested data is divided into a plurality of segments, and a fingerprint is calculated for each segment. An index table entry maps a fingerprint to a region and container ID, and a perfect hash vector is setup for this mapping. A percentage of live segments in the region relative to a liveness threshold is determined, as is a number of segments in the region subject to deduplication relative to a deduplication threshold. If a region is sufficiently live, deduplication is performed, but if the region is dead, deduplication is not performed. For a live region, if the number of deduplicated segments is too low, deduplication is not performed.

Abstract: The present teaching relates to a system and method for providing a response to a query related to a data sketch. A local data sketch is obtained in response to a synchronization parameter being set to a first value. The data sketch is updated based on the obtained local data sketch. The synchronization parameter is set to a second value that is different than the first value and thereafter propagated. A response to a query is generated based on the updated data sketch.