Abstract: A server computing device receives user input from a presenter to initiate a live webinar presentation comprising a plurality of slides. Responsive to receiving the user input to initiate the live webinar presentation, the server computing device monitors slide transitions triggered by the presenter and logs time stamp data for each slide transition, generates attendee participation data, and stores the live webinar presentation as a webinar presentation video, the time stamp data, and the attendee participation data. The server computing device obtains a request from a client device to view the stored webinar presentation video and partitions the webinar presentation video into slides based on the time stamp data.

Abstract: A computer implemented system for genomic data sorting, comprising alignment and position mapping. The system maps each read to a position on the reference genome with which the read is associated, followed by sorting these reads by their mapped positions.

Abstract: A real-time data processing system is provided comprising a memory device with computer-readable program code stored thereon, a communication device in communication with a network, and a processing device operatively coupled to the memory device and the communication device. The system establishes an operable communication linkage with a first entity system and a second entity system, the first entity system and the second entity system sharing access to a resource repository stored on the second entity system. The system generates a repository image of the resource repository and tracks an interaction with the resource repository in real-time. Based on the tracked interaction, the system synchronizes the repository image with the resource repository, wherein synchronizing the repository image comprises mirroring the interaction on the repository image and updating the first entity system based on the repository image.

Abstract: Computer-implemented systems and methods are provided for analyzing and responding to a query from a user. Consistent with certain embodiments, systems and methods are provided for receiving a query from the user and dividing the query into query segments based on a set of grammar rules. Further, systems and methods are provided for selecting a first segment from the query segments, receiving at least one tuple stored in association with the user, selecting a second segment from the at least one tuple. Additionally, systems and methods are provided for receiving information related to the first and second segments, and generating a response to the query based on the received information. In addition, systems and methods are provided for transmitting information to a display device for presenting the response to the user.

Abstract: A data storage system includes a column store and a row store. The data storage system may generate a query summary. The data storage system determines query summary fields comprised of a subset of fields from a schema used to store data in the row store. The data storage system searches the column store or the row store for query results in the query summary fields. A query summary field is generated from the query results in the query summary fields.

Abstract: A search apparatus includes a character string acquisition unit that acquires a character string recognized by a character recognition device, a search unit that sends to an information source the character sting as a search key and retrieves search result information responsive to the search key out of information stored on the information source, a determining unit that determines whether an error factor including at least one of a cause for an erroneous search and an erroneous search result is present, and a job switching unit that requests a manual input job to be performed to input a search key that is to replace the character string if the determining unit has determined that the error factor is present, and requests a verification job to be performed on the search result information if the determining unit has determined that the error factor is not present.

Abstract: A method of determining a requirements characterization profile for an entity is disclosed. The method comprises the steps of receiving classification parameters defining a requirement for an entity and selecting, in dependence on the classification parameters, a set of entities from a database of previously assessed entities. The method further comprises retrieving from the database characterization parameters of the selected set of entities, and constructing, in dependence on the characterization parameters, a requirements characterization profile for the entity. An apparatus is provided that comprised means for performing such a method.

Abstract: Facet-based query refinement based on multiple query interpretations is provider through a process that includes receiving a query for querying documents, of a whole document set, that deviate by one or more facet values. The process generates different query interpretations from query text of the query. The process executes the different query interpretations to obtain resulting document sets. For each different query interpretation, the executing executes the query interpretation to obtain a resulting document set corresponding to that query interpretation, and identifies facet values represented in the resulting document set. The process builds and presents to a user a query refinement interface, presenting the different query interpretations and properties of the resulting document sets, as well as, for each of the one or more facet values, and relative to each other, facet value representation of the facet value in each of the resulting document sets.

Abstract: A processor may initiate a first verification event. The first verification event may be triggered when a mobile device begins generating new data at a first time. The processor may determine, in response to the first verification event, that the mobile device is above a threshold limit of available storage. The processor may analyze one or more applications on the mobile device. The processor may automatically remove a first re-downloadable portion of a first application binary interface associated with a first application from the mobile device. The processor may store the generated new data on the mobile device.

Abstract: The present invention relates, in an embodiment, to a system for automatically ingesting data into a data lake. In an embodiment of the present invention, the system comprises computer readable memory having recorded thereon instructions for execution by a processor having an ingestion engine and a metadata model. In an embodiment of the present invention, the instructions are configured to determine, via the metadata model, a type of metadata the ingested data contains; to generate guidelines for processing and transforming the ingested data based on the determined metadata; to apply the guidelines at the ingestion engine for how the ingestion engine processes and transforms the ingested data based on the determined metadata; and to store the transformed ingested data to a storage repository.

Abstract: The present disclosure provides novel techniques to derive characteristic of mobile entities based signals from mobile devices associated with these mobile entities. In certain embodiments, a data file is built for each mobile entity to transform originally extremely high dimensional raw data derived from mobile devices communicating with a network into structured data characterizing associated mobile entities. The data file are structured for filtering and searching with respect to location and non-location features. A plurality of filters for a behavioral segment are applied to the data files of a large number of mobile entities. The plurality of filters including a preset hard constraint (HC) filter, a preset soft constraint (SC) filter, and an extended constraint (EC) filter built using location features in data files that have passed through the HC filter and/or the SC filter.

Abstract: A system comprising a database containing user data, an interface engine that communicates with the database and parses the data, an application server that communicates with the interface engine, a user device that receives and displays the parsed data, receives user-provided information, and sends the user-provided information to the application server, wherein the application server automatically updates the user device display with the parsed data, receives user-provided information from said user device, and provides the user-provided information to the interface engine for updating the database.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for context development. For instance, a first method may include obtaining first micro-application actor information associated with a first micro-application actor. The first micro-application actor information may include information for workflow rules, and the workflow rules may include data set rules, extract, transform, load (ETL) rules, and functional expressions. The first method may further include obtaining data from data sources based on the data set rules; applying the ETL rules to the obtained data to generate processed data; applying the functional expressions to the processed data to obtain an output; and performing at least one processing action based on the output. A second method may include generating a system component corresponding to a blueprint based on a user request; associating the system component with a domain of a user account; and performing processes associated the system component.

Abstract: Systems and methods are disclosed for enabling any number of users to share data across any number of web site, mobile, and/or desktop applications (Apps), via an autonomous interdependent repositories (AIR) database. An example method includes grouping data in a plurality of Repositories of the AIR database. The plurality of Repositories may be shared with the user and other users. The method also includes maintaining a plurality of Repository records for the plurality of Repositories. Any number of Applications from any number of different publishers use the AIR database by providing schemas to the AIR databases.

Abstract: Systems and methods to manage database data are provided. A particular method includes automatically identifying a plurality of storage devices. The storage devices include a first device of a first type and a second device of a second type. The first type includes a solid state memory device. The method may further identify a high priority data set of the database. A rebalancing operation is conducted that includes moving the high priority data set to the solid state memory device and substantially evening distribution of other data of the database among the storage devices.

Abstract: An online system accesses a content item containing a link to an external landing page. When an opportunity to present content to a viewing user occurs, the system determines a quality metric for the content item. The system further determines, based on the attributes of the external page, a quality metric for the external page. The quality metric for the external page is adjusted based on the quality metric of the content item. The system computes a value score for the content item based on the quality metrics for the content item and the external page. The content item is ranked against other content items for presentation in the opportunity. Content items are selected by the system and sent for presentation to the viewing user.

Abstract: Systems, methods, and other embodiments are disclosed for performing data mining. In one embodiment, transaction records are read one at a time. Each transaction record represents a transaction for at least one item and includes an item identifier and a metric value for the item. The number-of-occurrences of at least one candidate item set in the transaction records are counted to generate a total count for the candidate item set. The candidate item set includes one or more items. As the counting proceeds, at least one aggregate metric value associated with the candidate item set is accumulated by summing metric values across the number-of-occurrences for each item represented in the candidate item set. A determination is made as to whether the candidate item set is a frequent item set in the transaction records by comparing the total count to a threshold value.

Abstract: One-to-one join is widely used in machine learning and business intelligent applications. Disclosed herein is an efficient method for one-to-one join to reduce memory usage and thus disk I/O accesses with limited memory. Disclosed method outputs and removes a pair of tuples immediately when they are matched to each other to allow join results to be generated without reading entire tables. Meanwhile, disclosed method increases matching rate for in memory blocks through the predication of data distribution patterns based on both statistics and history block matching information.

Abstract: Given a local distance metric for geospatial features, a binning is produced that is guaranteed to label features within a given distance threshold with the same bin, while labeling a minimum number of features separated by a distance that is greater than the threshold with the same bin.

Abstract: A method for operating a data processing system to identify documents in a library includes a plurality of documents and a plurality of concepts exemplified by the plurality of documents and computer readable media that stores instructions for causing a data processing system to execute that method are disclosed. The method includes causing the data processing system to identify candidate documents matching a user provided search keyword from the library, causing the data processing system to generate a topical graph relating concepts contained in the candidate documents to one another, and clustering the candidate documents based on the topical graph. For each cluster, the data processing system displays a summary of the candidate documents in that cluster together with a cluster name that characterizes that cluster.