Abstract: The present disclosure relates to example table connection methods, devices, and systems. In one example method, data that is sent by a coordinator node and that is in a first target column in a first data table is stored by a data node in a local memory. The data node receives a table connection request. When first data in the first target column is the same as second data in a second target column, the data node connects data in a row in which the first data is located to data in a row in which the second data is located. The data node sends a connection result to the coordinator node.

Abstract: An approach for conversion between database formats (e.g., from a relational database format to a hash table or a “big table” database format) based on user data access patterns in a networked computing environment is provided. A first set of database tables having a first format is identified based on a set of access patterns stored in a computer storage device. A second set of database tables having a second database format corresponding to the first set of database tables may then be provided (e.g., accessed, augmented, and/or generated). A mapping between the first set of database tables and the second set of database tables may then be created. A column set may then be generated based on at least one condition of the set of queries. The column set may then be used as a key for the second set of database tables.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating and providing stacked attribution distributions within a stacked attribution user interface. For example, the disclosed systems can utilize attribution models to generate stacked attribution distributions as breakdowns of other attribution distributions. The disclosed systems can further provide a stacked attribution user interface that includes selectable elements for identifying event categories, dimensions, and attribution models for generating stacked attribution distributions. Based on user interaction with these selectable elements, the disclosed systems can dynamically generate, provide, and modify attribution breakdowns via the stacked attribution interface.

Abstract: Techniques for searching using metadata indexing. In some implementations, a computing device receives data indicating a search request from a client device. The computing device analyzes the received data indicating the search request to determine content of the search request. The computing device receives one or more dossiers based on the content of the search query. The computing device identifies metadata and one or more index templates corresponding to each of the one or more retrieved dossiers. The computing device determines one or more matches between the data indicating the search query to the metadata and the one or more index templates corresponding to each of the one or more retrieved dossiers. The computing device generates search results that include the one or more matches based on characteristics of a type of match and weight values applied to each of the one or more matches based on the characteristics of the type of the match.

Abstract: A method for electronically mining intellectual property using an associative discovery process may include determining a set of documents containing keywords and/or phrases associated with an industry trend of interest. The method may also include determining a feedback score for each document in the set, determining an optimal weighing scheme for the determined keywords and/or phrases using a statistical learning model and the feedback scores, ranking all documents in the set of documents according to the optimal weighing scheme, and providing results of the associative discovery process to a user.

Abstract: Described herein are technologies that are configured to assist a user in recollection information about people, places, and things. Computer-readable data is captured, and contextual data that temporally corresponds to the computer-readable data is also captured. In a database, the computer-readable data is indexed by the contextual data. Thus, when a query is received that references the contextual data, the computer-readable data is retrieved.

Abstract: Recommendation information is associated with an information classification label by a server of an online interaction platform, and a correspondence between the recommendation information and the information classification label is stored in a feature label database. The recommendation information associated with the information classification label is delivered to a user. Upon triggering of the recommendation information by a user, the information classification label associated with the recommendation information and an unique identifier associated with the user are obtained. By using the unique identifier, a user feature database is queried to determine whether a correspondence between the information classification label and the unique identifier has been established. If it is determining that the correspondence is not established, the correspondence between the information classification label and the unique identifier is established in the user feature database.

Abstract: A computer-implemented method according to one embodiment includes identifying data to be stored in one or more tables on a bucket, where the bucket is an allocation of a partitioned storage in a node of one or more nodes of a swarm database, the bucket having at least one replica, and where no two identical bucket replicas reside on a single node, assigning an identifier and a data storage hierarchical level to the data, mapping the data to an index and storing the data in accordance with the index and the data storage hierarchical level, the storing including writing the data to a row in one of the one or more tables on the bucket and recording a write operation into a transaction log of the node, receiving a plurality of write operations, and combining a plurality of write tasks of the bucket for a predetermined time period.

Abstract: A method and apparatus of a device that grows and/or shrinks a table that is shared between a writer and a plurality of readers is described. In an exemplary embodiment, a device receives an entry to be added to the shared table. In response to receiving the entry, the device remaps shared table to add a new storage segment to the shared table. The device further adds the entry to the shared table, where the entry is stored in the new storage segment. In addition, the device updates a shared table characteristic to indicate that the shared table has changed. The device further shrinks the shared table by remapping the table to remove a segment of the table.

Abstract: Computer implemented systems and methods resolve data entries across multiple lists. The lists may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying a direct field match between two lists, determining updated lists based on the remaining data entries, executing a comparison of the remaining data entries, determining a scoring metric based on the comparison, and determining whether the scoring metric exceeds a threshold. The systems and methods further comprise generating a data distribution curve based on the matched and unmatched data records and adjusting the threshold based on the data distribution curve for the next iteration of comparisons executed on the remaining unresolved entities.

Abstract: In an embodiment, a method for generating a search query for a graph database includes displaying a list of vertex properties on a user interface; receiving, via the user interface, a selection of one or more of the displayed vertex properties; forming a graph database query based on selection; and displaying a report containing a result of the query.

Abstract: In some embodiments, a computer system may buffer, in a local storage buffer, data to be stored at the cloud and upload the data to the cloud storage from the local storage buffer. Upon receipt of an acknowledgement, from the cloud storage, that the data was successfully uploaded, the computer system may delete the data from the local storage buffer. The computer system may provide a ghost file representation of the uploaded data through the computer system, through which the data uploaded to the cloud storage may be accessed. In some embodiments, the computer system may access multiple cloud storage accounts, each corresponding to a file folder on the computer system, allowing the user to easily access different cloud storage accounts. The computer system may recover data that was deleted from either local persistent storage or the cloud storage.

Abstract: The present disclosure provides method and system to facilitate definition, tuning and visualization of a geo-fence at a computer system. The method comprises receiving an application program interface (API) call from the computer system, and in response to the API call, enabling the computer system to display a user interface (UI) on a display screen of the second computer system. The UI includes a first region and a second region, the first region including a plurality of screen areas for receiving input parameters for defining the geo-fence via a user input device of the computer system, and a second region is configured to display the geo-fence over a map of a geographical region around a location specified in the input parameters. The method further comprises, in response to receiving user inputs in the second region, generating the geo-fence based on the input parameters and mobile device events data stored in an electronic storage.

Abstract: Methods for identifying visual portions of visual media files that are responsive to at least one visual media input file submitted as a search query are provided. In one aspect, a method includes generating an index of visual portions of a plurality of visual media files from a collection of media files, and receiving from a user a search query, for the collection, including at least one visual media input file. The method also includes analyzing the index to identify at least one responsive visual media file from the collection that includes a visual portion associated with a visual similarity score, to the at least one visual media input file, which exceeds a similarity threshold value, and providing, in response to the search query, an identifier of the at least one responsive visual media file for display as responsive to the search query. Systems and machine-readable media are also provided.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for a crowd sourced indexing and/or searching of content. An embodiment operates by receiving one or more requests for content from one or more media devices, each request comprising content identifier information that identifies the content, determining whether crowd sourced content index information has been generated for the content, transmitting a response to the one or more media devices of the one or more media devices, in response to the one or more requests, the response comprising content location information and a content indexing request, and receiving content index information for the content identified by the content identifier information from the one or more media devices.

Abstract: An apparatus and method for simultaneously displaying both record names and the associated files responsive to a user's search over a database. A user conducts a routine search query over a database or group of databases of records containing, for example, text documents, or alphabetical concordances thereof. The search engine returns a list of records responsive to the user's query. In contrast to the standard list of record identifiers, the apparatus displays both the identifiers and selected portions of those records or other useful information, as defined by the user, facilitating quick review. The user is able to sort the list of these responsive records in a variety of ways, either before the search, or within the list of results, to expedite review. The apparatus identifies records that have been reviewed previously by marking them as “viewed” links.

Abstract: As received, a data value of an expected input set of received data values is missing from user input. A subset of known data with data values similar to a subset of the received data values is determined. A data sample average for the missing data value is determined from data values within the subset of the known data. An initial estimate of the missing data value is initialized using the data sample average. Boundary data clusters near the initial estimate of the missing data value are identified within the subset of the known data. A data harvesting region encapsulated according to the boundary clusters is defined. Data support clusters within at least one subset of the known data inside the data harvesting region are selected. The initial estimate of the missing data value is updated based upon data of the boundary clusters and the data support clusters.

Abstract: Techniques are described herein for hybrid parallelization of in-memory table scans. Work for an in-memory scan is divided into granules based on a degree of parallelism. The granules are assigned to one or more processes. The work for each granule is further parallelized by dividing the work granule into one or more tasks. The tasks are assigned to one or more threads, the number of which can be dynamically adjusted.

Abstract: The disclosed embodiments provide a system for processing queries of a graph database. During operation, the system stores intermediate results of a query in a structure comprising rows in a set of tables. Next, the system applies one or more operations to existing rows in the structure to generate additional rows in additional tables of the structure. The system also tracks inputs and outputs associated with the one or more operations in a set of relationships between rows of different tables in the structure. Finally, the system uses the rows and the set of relationships to generate a final result of the query and provides the final result in a response to the query.

Abstract: An approach for transforming a large dataset using user interface-based transformations applied to a sample of the dataset is disclosed. The sample of the large dataset has the same or similar format as the large dataset. A user can quickly apply transformations to the sample dataset using UI-based instructions. The UI-based instructions can be used to create a transformation job that can be configured to run on a backed database, such as a distributed database, to apply the transformations to the large dataset.