Abstract: Systems and methods of automating the generation of a logical model defining one or more tables of a data source are provided. The logical model definitions of the tables can be exposed to a platform that can access and obtain data from multiple heterogeneous data sources based on a unified and normalized format. Tables of a data source can be analyzed to determine key characteristics, and based on the key characteristics, converted into dimension and fact table representations, objects, and operations that comport with the unified and normalized format. Default rules for generating the dimension and fact table representations, objects, and operations can be followed, or user-defined customizations can be implemented.

Abstract: The system for backing up data comprises an input interface configured to receive an input set of files. The system for backing up data additionally comprises a processor configured to add modified objects to a list of modified objects in the set of files, and, in the event it is determined to provide the list of modified objects to a backup process, provide the list to the backup process.

Abstract: The efficiency of a container location database (“CLDB”) that is used for retrieving location information of data containers stored on nodes in a cluster is improved by decreasing the number of key-value store transactions performed during snapshot creation and deletion, thereby decreasing both disk I/O and computing cycles. The CLDB is made more scalable by improving the deletion and creation time of snapshots, allowing one to create and delete more snapshots during a given interval of time. CLDB resilience is improved by decreasing the time required to resync a CLDB node. CLDB data is reduced to decrease IO operations, improve resync times, and to cache most of the data in memory.

Abstract: A method, apparatus and computer program product determine weather-related information for a respective tile associated with a geographical region. In the context of a method, at least one of weather data or radar data is received and caused to be stored in a data structure. For a respective tile, the method retrieves the at least one of the weather data or radar data from the data structure. The respective tile is one of a plurality of tiles. Each tile is associated with a respective geographical region. The method also determines weather-related information for the respective tile based upon the at least one of the weather data or radar data that was retrieved from the data structure.

Abstract: An equality determination unit obtains [ei] in which ei=(ei,1, . . . , ei,N) is concealed, ei in which ei,j=a1 is established when xi,j is kj and ei,j=a0 is established when xi,j is not kj, by secure computation using a concealed search target word [xi] and a concealed search word [k]. A wildcard determination unit obtains [w] in which w=(w1, . . . , wN) is concealed, w in which wj=b1 is established when kj is a wildcard character and wj=b0 is established when kj is not a wildcard character, by secure computation using [k]. An OR operation unit obtains [yi] in which yi=(yi,1, . . . , yi,N) is concealed, yi in which yi,j=d1 is established when at least one of ei,j=a1 and wj=b1 is satisfied and yi,j=d0 is established when at least one of ei,j=a1 and wj=b1 is not satisfied, by secure computation using [ei] and [w].

Abstract: A relevant factoid(s) related to multimedia data is generated by splitting a multimedia item into a media component and a text component. Text information is retrieved relevant to text data from the text component using a query. The text information is summarized into a factoid. Source data is checked for an image based on the multimedia component. A current state image is generated from the image. The factoid and the current state image are combined into a combined factoid, and the combined factoid is stored for sending to a media outlet for presentation on a media format.

Abstract: Methods and systems for enriching an information system containing information about companies with additional competitor information. The information system, which could be a database, a knowledge base, or a knowledge graph, is assumed to contain information about a plurality of single companies, the information comprising data such as industry codes, competitors, and possibly also keywords for each company. The disclosed methods determine new competitor pairs by combining (i) the generation of new competitor candidate pairs by inference from existing competitors and other company-specific knowledge with (ii) the validation of such competitor candidates pairs by checking for joint occurrence in documents of a document repository.

Abstract: With regard to a platform device (100) placed on a web-site and networked with a plurality of ID-detectable users or participants for the purpose of collecting and processing items of information stored on a plurality of in each case code-identifiable and in each case theme-dependent storage sites (110) of a platform by said users or participants, there is achieved modifiability of the stored information by the network participants according to strictly predefined processing criteria and with the creation of swarm knowledge in that the storage sites (110) formed on the platform are subdivided into a plurality of themes and are in each case formed by a dual unit (DuU), said dual unit (DuU) comprising in each case a first storage site 111 provided with initial information assigned to a predefined theme and formulated by an initial participant and adapted so as to be non-editable by any other individual user-participant and a second storage site (112) which is assigned to the first storage site (111) and which i

Abstract: Implementations relate to techniques for providing context-dependent search results. The techniques can include receiving a query and background audio. The techniques can also include identifying the background audio, establishing concepts related to the background audio and obtaining terms related to the concepts related to the background audio. The techniques can also include obtaining search results based on the query and on at least one of the terms. The techniques can also include providing the search results.

Abstract: To increase the applicability of group-by placement (GBP) transformations, according to embodiments described herein, database objects referred to in the aggregate function expression of a query are analyzed to determine whether any of these database objects are referred to exclusively within a condition check portion of the aggregate function expression. Such database objects may be dealt with differently (i.e., with respect to inclusion in GBP views) than the rest of the database objects referred to in aggregate function expressions of the query. This distinction between (a) aggregation-condition database objects exclusively found in condition check portions of an aggregate function expression and (b) aggregation-source database objects within an aggregate function expression allows application of GBP transformation to a wider variety of queries and also increases the possible GBP states that can be costed for GBP transformation-eligible queries.

Abstract: Generating semantic names for a data set is described. An example method can include retrieving data from a data set, the data organized in a plurality of columns. The method may also include generating one or more candidate semantic categories for that column, wherein each of the one or more candidate semantic categories has a corresponding probability for each of the columns. The method may also further include creating a feature vector for each column from the one or more column candidate semantic categories and the corresponding probabilities. Additionally, the method may also include selecting, for each column, a column semantic category from the one or more candidate semantic categories using at least the feature vector and a trained machine learning model.

Abstract: Methods, systems, and apparatus, including computer program products, for processing search query suggestions. In one aspect, a search service provides query suggestions responsive to a query suggestion request from a client device, and determines if a prediction criterion is met. The prediction criterion is independent of a user selection of a query suggestion provided in response to one or more query suggestion requests. In response to determining that the prediction criterion is met, the search system provides search results to the client device. The search results are responsive to one of the query suggestions provided in response to the query suggestion request or one or more previous query suggestion requests.

Abstract: Disclosed is an approach that applies a fuzzy logic model that may involve fuzzy-matching a plurality of address fields to determine a common physical address, and determining a number of communiques directed to that address with reference to a threshold that may determine an excessive number of communiques. The plurality of address fields may also be fuzzy-matched to information in a fraud-risk database which may comprise a fraud-risk address. One or more matches may be presented to a user who may adjust the views of the various matches, track various trends within the data, and harmonize the various address fields relating to a physical address.

Abstract: Systems and methods of automating the generation of a logical model defining one or more tables of a data source are provided. The logical model definitions of the tables can be exposed to a platform that can access and obtain data from multiple heterogeneous data sources based on a unified and normalized format. Tables of a data source can be analyzed to determine key characteristics, and based on the key characteristics, converted into dimension and fact table representations, objects, and operations that comport with the unified and normalized format. Default rules for generating the dimension and fact table representations, objects, and operations can be followed, or user-defined customizations can be implemented.

Abstract: A relational database management system (RDBMS) accepts a workload comprised of one or more queries against a relational database. The RDBMS evolves a default cost profile into a plurality of cost profiles using fixed or dynamic evolution, wherein each of the cost profiles captures one or more cost parameters for the workload. The cost profiles are represented by a multi-dimensional matrix that has one or more dimensions, and each of the dimensions represents one of the cost parameters. The RDBMS dynamically determines which of the cost profiles is an optimal cost profile for the workload by mapping the cost profiles to the workload using a random walk scoring algorithm or a biased walk scoring algorithm that searches the multi-dimensional matrix to identify the optimal cost profile. The RDBMS selects and performs one or more query execution plans for the workload based on the optimal cost profile for the workload.

Abstract: An example operation may include one or more of generating a snapshot of a state of a permissioned blockchain, generating a unique identifier of the state snapshot that distinguishes the state snapshot from other state snapshots of the permissioned blockchain, storing the state snapshot in a data store, and storing proof of the state snapshot including the unique identifier and a storage location of the state snapshot on a public blockchain.

Abstract: A computer generates and displays a data visualization in a data visualization user interface according to placement of data fields, from a data source. The data visualization includes visual data marks representing data from the data source. The computer detects a user input to select a visual data mark. In response to detecting the user input, the computer obtains a data model encoding the data source as a tree of logical tables. The computer identifies one or more aggregated data values for the visual data mark, each of the aggregated data values corresponding to a respective data field in the data model. For each of the aggregated data values, the computer retrieves a respective disaggregated set of data rows from a respective logical table containing the respective data field. The computer displays a summary grid, with a respective tab corresponding to each of the retrieved disaggregated sets of data rows.

Abstract: A backup method is provided for a file system for managing hierarchical storage including one or more storage media on a computer system including one or more computers. Each of the one or more storage media includes a data part which is separated from an index and on which updated information is appended and kept. Each of a plurality of pieces of data within the file system is managed to be migrated to at least any of the one or more storage media. The backup method includes backing up metadata of the plurality of pieces of data migrated within the file system; and backing up the index of each of the one or more storage media to which the plurality of pieces of data have been migrated, substantially at the same time point as the metadata.

Abstract: Methods and apparatus to estimate audience sizes using deduplication based on vector of counts sketch data are disclosed. An example apparatus to determine an audience size for media based on vector of counts sketch data includes: a coefficient analyzer to determine coefficient values of a polynomial based on variances, a covariance, and cardinalities corresponding to a first vector of counts from a first database and a second vector of counts from a second database; an overlap analyzer to determine a real root of the polynomial, the real root corresponding to an estimate of an overlap between the first vector of counts and the second vector of counts; and a report generator to estimate the audience size based on the estimate of the overlap and the cardinalities of the first vector of counts and the second vector of counts.

Abstract: A system for optimizing data requests in an electronic data storage environment may be configured to receive and identify data requests to perform operations on data stored in a data storage environment. The system may further to implement tuning algorithms on the data requests upon identifying that the data requests are causing the data storage environment to perform below optimal performance. The present invention may be implemented as a system, a computer program product, or a computer-implemented method.