Abstract: Techniques for detecting anomalies in streaming graph data are described. For example, an embedding technique of generating a multi-dimensional vector of summations of each weighted edge found in both a random source bounding proper subset and a random destination bounding proper subset associated with a dimension of the epoch graph is detailed. Anomaly detection is performed on the generated multi-dimensional vectors.

Abstract: Computer-implemented methods and systems are provided for managing databases. Consistent with disclosed embodiments, a database system can serve configuration requests received from administration systems using an active cluster of at least two geographically separated computing clusters. Serving configuration request can include updating an active configuration database of the active cluster based on the configuration request. The system can also serve search requests received from user devices that specify a search criterion using a closest one of the geographically separated computing clusters by retrieving items satisfying the search criterion from local copies of a cache replicated across the geographically separated computing clusters. Furthermore, the system can serve transaction requests received from the user devices using the active cluster by updating an active local copy of the cache replicated in the active cluster.

Abstract: The MULTI-SOURCE, MULTI-DIMENSIONAL, CROSS-ENTITY, MULTIMEDIA CENTRALIZED PERSONAL INFORMATION DATABASE PLATFORM APPARATUSES, METHODS AND SYSTEMS (“CPDB”) transform data aggregated from various computer resources using CPDB components into updated entity profiles and/or social graphs. In one implementation, the CPDB aggregates data records including search results, purchase transaction data, service usage data, service enrollment data, and social data. The CPDB identifies data field types within the data records and their associated data values. From the data field types and their associated data values, the CPDB identifies an entity. The CPDB generates correlations of the entity to other entities identifiable from the data field types and their associated data values. The CPDB also associates attributes to the entity by drawing inferences related to the entity from the data field types and their associated data values.

Abstract: A machine-learning framework uses partial-click feedback to generate an optimal diverse set of items. An example method includes estimating a preference vector for a user based on diverse cascade statistics for the user, the diverse cascade statistics including previously observed responses and previously observed topic gains. The method also includes generating an ordered set of items from the item repository, the items in the ordered set having highest topic gain weighted by similarity with the preference vector, providing the ordered set for presentation to the user, and receiving feedback from the user on the ordered set. The method also includes, responsive to the feedback indicating a selected item, updating the diverse cascade statistics for observed items, wherein the updating results in penalizing the topic gain for items of the observed items that are not the selected item and promoting the topic gain for the selected item.

Abstract: A schema consistency mechanism monitors data ingested by a data intake and query system for changes to the structure, or data schema, associated with the data. A schema consistency monitor obtains data from a data source (or, more generally, from any number of separate data sources) at a plurality of points in time. The data is analyzed to determine whether a first portion of the data received at a first point in time conforms to a first data schema and that a second portion of the data received at a second point in time conforms to a second data schema that is different from the first data schema (thereby indicating a change to the associated data schema). A graphical user interface (GUI) can be generated that includes indications of identified changes to one or more data schemas associated with data.

Abstract: In some embodiments, the present invention provides for an exemplary computer system which includes at least: a graphical user interface client; a dedicated application server; the dedicated application server is configured to connect to the graphical user interface client and an electronic source with electronic data records; where the electronic data records include real identification identifiers of real individuals; where the graphical user interface client is configured to generate at a graphical user interface that is configured to receive user authenticating credential information and to conduct a real-time electronic negotiation querying session between the user and the dedicated application server to generate a plurality of non-reversible synthetic electronic data records of a plurality of synthetic individuals, by utilizing at least one statistical technique so that the plurality of non-reversible synthetic electronic data records cannot be used to identify any real individual in the plurality of el

Abstract: A computer-implemented method according to one embodiment includes receiving data, storing chunks of the data in fixed size blocks in physical storage, and deduplicating a copy of the data. The storing includes splitting some of the data chunks into portions for filling the fixed size blocks. Metadata is stored with the data chunks for chaining the associated portions of the split data chunks together. The deduplicating including creating a pointer to a first of the data chunks. A computer program product for utilizing free space in physical storage, according to another embodiment includes a computer readable storage medium having program instructions embodied therewith. The computer readable storage medium is not a transitory signal per se. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method.

Abstract: Mechanisms, in a system comprising a host system and at least one accelerator device, for performing a concept analysis operation are provided. The host system extracts a set of one or more concepts from an information source and provides the set of one or more concepts to the accelerator device. The host system also provides at least one matrix representation data structure representing a graph of concepts and relationships between concepts in a corpus. The accelerator device executes the concept analysis operation internal to the accelerator device to generate an output vector identifying concepts in the corpus, identified in the at least one matrix representation data structure, related to the set of one or more concepts extracted from the information source. The accelerator device outputs the output vector to the host system which utilizes the output vector to respond to a request submitted to the host system associated with the information source.

Abstract: A method for providing visualization of data objects in a relational database is provided. The method comprises: (a) bringing an electronic device of a user in communication with a server comprising the non-hierarchical relational database, (b) generating and displaying a graph comprising visual graphical elements including a first node representing a first class encompassing a first subset of the data objects, a second node representing a second class encompassing a second subset of the data objects, and a link representing a relationship between the first class and the second class, (c) receiving a request via the user interface of the electronic device to perform a task directed to at least a subset of the data objects, (d) generating one or more filtering operations for the task and, upon execution, producing a graphical result comprising a filtered data set, and (e) automatically displaying the graphical result on the user interface.

Abstract: Various methods and systems for in-place unformatting of disks are provided. The system includes a preparation component configured for creating a backup file on the disk and a preformatting component for using the backup file to occupy a predetermined location that defines a backup zone on the disk. The backup file is a space-holder such that the preformatting component copies primal data and file table data to the backup zone. The system further includes a formatting component for formatting the disk storing the primal data and the file table and an unformatting component that copies the primal data and file table data from the backup zone back to their original locations to unformat the disk to a preformat configuration. A safeguard component may also be implemented to ensure that the preformat component is invoked before the format component if the preparation component was executed on a volume.

Abstract: A crime analysis system, method, and apparatus comprising at least one processor and a storage device communicatively coupled to the at least one processor, the storage device storing instructions which, when executed by the at least one processor, cause the processor to perform operations comprising receiving information provided by one or more data collection source, storing the information, wherein the stored information is formatted, processing the information to generate crime clustering data associated with at least one region and at least one crime, processing the crime clustering data associated with at least one region and at least one crime to generate benchmarking of the at least one region with at least one other region, and providing crime clustering data associated with at least one region and at least one crime, and benchmarking of the at least one region with at least one other region for presentation through a user interface.

Abstract: Database queries may be performed using resources based on a determined size of the database query. Database query size may be dynamically determined for a database query when the query is received. The database query may be assigned to resources used for database queries of the determined size. In some embodiments, timeouts may be applied to reassign database queries to different resources if the performance of the database query exceeds a timeout threshold.

Abstract: Method, system, and computer program product are provided to guarantee no tuple loss and/or corruption in a real-time data streaming environment. In some embodiments, a stream of tuples is sent from an entry operator to downstream operator(s), and, at the entry operator, a mark is placed on each tuple in the stream of tuples. In an embodiment where the stream of tuples includes first, second, and subsequent tuple(s), for example, the mark may comprise a tuple-unique number and a tuple-data hash of data contained in the tuple, and the mark on the second and each subsequent tuple may further comprise a link-back hash associated with the immediately preceding tuple in the stream of tuples. In some embodiments, the link-back hash is used to check whether a tuple is lost or received out of order, and the tuple-data hash is used to check whether a received tuple is corrupt.

Abstract: Provided are systems, methods, and computer-readable medium for operating a content delivery system. In various examples, the content delivery system can transmit a series of queries to a computing device for display in an application executing on the computing device. The content delivery service can receive a set of responses, and determine from the responses scores for each of a set of drivers associated with a plurality of content sessions. The content delivery service can also select particular content sessions using the scores. The content delivery service can also determine an order and schedule for presenting the particular content sessions and output a customized content program according to the order and schedule.

Abstract: Implementations describe ranking communities based on members. A method includes receiving input of data entered into a search field, predicting a search term based on the data, determining communities associated with a social network that satisfy a content match rule directed to a match between the predicted search term and information identifying the communities, the determined communities having scores that are based on results of the content match rule as applied to the communities, determining levels of reputations of the members of the determined communities that satisfy the content match rule, modifying the scores for the determined communities based on the determined levels of the reputations of the members, ranking the determined communities based on the modified scores, and providing identification of the predicted search term and the determined communities, where the determined communities are presented in a ranked order in accordance with the ranking.

Abstract: A system and method can be provided to facilitate the comparison of different data sets associated with different organizations. A first data set belonging to a first organization and a second data set belonging to a second organization can be provided. Permissions can be set such that users associated with the first organization cannot view the data contained in the second data set and vice versa. The data sets can be compared based on selected data categories to generate a third data set of match results. The comparison can comprise the use of fuzzy logic. Unmatched data can be excluded from the third data set to protect sensitive data of each organization. The third data set can then be shared between the first and second organization.

Abstract: The present disclosure relates to a method for generating a group node profile based on member nodes. Member node profiles may be maintained. A subset of member node profiles may be identified. Each member node profile of the subset may correspond to a group entity. A set of member node fields to populate values for a group node profile of the group entity may be identified. A corresponding group node field of the group node profile may be updated in accordance with a group node population policy. A field value of the member node field to the group node field may be added. An entry to a value data structure of the field value of the group node field may be added.

Abstract: Techniques for implementing logical queries in a distributed stream processing system using automatic branching and joins. An exemplary technique includes determining a query is a logical query. The logical query includes two or more summaries based on different groups configured to execute in a single query stage of a stream analytics application. The technique further includes converting the logical query into one or more physical queries. The one or more physical queries are separated into individual query stages, and each of the query stages includes a summary from the two or more summaries that is based on an associated group. The technique further includes generating a directed acyclic graph for the one or more physical queries. The directed acyclic graph includes a physical query transformation for each of the individual query stages.

Abstract: A method, system, and computer program product for managing evidence. An evidence management system comprises a computer system that stores information about an incident in evidence records for a witness zones. The evidence records are associated with witness zones for storing evidence for the incident. The witness zones are areas from which the evidence is collected. The computer system collects the evidence for the incident from client devices in the witness zones based on the evidence records. The computer system analyzes the evidence collected for the incident in the evidence records based on the witness zones from which the evidence was collected, enabling the computer system to reduce an amount of time to collect the evidence for the incident.

Abstract: A method and system for facilitating context based information is disclosed. A collection of user information generated from an application in a computing device of a user is received. The collection of user information includes information generated by a plurality of sensing modules associated with the application. A context based information from the collection of user information is determined. The context based information is generated based at least on a learning profile of the user. The context based information in an augmented reality view through a User Interface (UI) of the computing device in the application is provisioned.