Abstract: The technology disclosed relates to a system. The system comprises a trained multi-label support vector machine running a one-vs-the-rest classifier. The trained multi-label support vector machine running a one-vs-the-rest classifier is configured with trained parameters. The trained parameters are learned from training the trained multi-label support vector machine running the one-vs-the-rest classifier on document features of documents belonging to a plurality of label classes, and hyperplane determinations on label classes in the plurality of label classes. The trained parameters include distributions of distances between the label classes and the hyperplanes.

Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for facilitating data transformations, according to embodiments of the present invention. In one embodiment, a set of example values including example input values that indicate data values to be transformed and example output values that indicate a desired form in which to transform data. Based on the set of example values, a data transformation function that is relevant to the set of example values is identified. The data transformation function is used to generate a transformation program to transform the example input values to the desired form in which to transform data. A suggestion of the transformation program can be provided to a user device, wherein selection of the transformation program suggestion results in a data transformation.

Abstract: Disclosed are embodiments for generating metadata files for composite datasets. In one embodiment, a method is disclosed comprising generating a tree representing a plurality of datasets; parsing the tree into an algebraic representation of the tree; identifying a plurality of terms in the algebraic representation, each term in the terms comprising at least two factors, each of the two factors associated with a dataset in the plurality of datasets; generating a metadata object of the plurality of terms; serializing the metadata object to generate serialized terms; and storing the serialized terms in a metadata file associated with the plurality of datasets.

Abstract: Example aspects include techniques for ordering operations in a file system having a hierarchical namespace including determining, by a first service that manages file system operations for a first entity in the hierarchical namespace, to perform a file system operation for the first entity, generating, by the first service, a first counter record for the file system operation, obtaining, based on determining to perform the file system operation and from a second service that manages file system operations on a second entity that is a parent of the entity in the hierarchical namespace, a second counter record for a last file system operation performed on the second entity, wherein the second counter record is generated by the second service, and storing, in a change feed, an indication of the file system operation along with the first counter record and the second counter record.

Abstract: A technique of managing geospatial data includes receiving, by a SaaS (Software as a Service) application hosted from a server, a search query from a client, the search query specifying a geographical range. In response to receiving the search query, the technique further includes identifying multiple search results corresponding to the specified geographical range, the search results including a set of still images of the specified geographical range, a set of full-motion videos of the specified geographical range, and a set of GIS (Geographical Information System) data that pertains to the specified geographical range. In response to a request from the client, the technique further includes storing at least some of the search results in a workspace of the SaaS application, the workspace shared among multiple users of the SaaS application and enabling online collaboration among the users to accomplish geospatial exploitation workflows that fuse multiple data sources.

Abstract: A method comprises receiving a request to configure a temporary cache associated with at least one storage array and configuring the temporary cache in response to the request. In the method, the temporary cache is exposed to a tiering software portion of a tiering appliance for a designated time period, and a portion of data from one or more cloud storage platforms is stored in the temporary cache. The method also includes retrieving the portion of the data from the temporary cache in response to one or more read requests from one or more user devices, and removing the temporary cache in response to expiration of the designated time period.

Abstract: A data loading and processing system, and a method therefor are disclosed. In the present invention, a collection server confirms the state of target resources before collecting data, determines a data collecting and loading method for the corresponding resources on the basis of the confirmed state of the resources, transmits a data collection request to a data server, collects the data from the data server through the determined data collecting and loading method, and loads the collected data in a big data platform so as to collect and load data by an optimum data collecting and loading method according to the current state of objects to be collected and objects to be loaded, and thus can increase overall system operation efficiency.

Abstract: Garbage collection for a log-structured file system can be offloaded from a processor to an internal controller of a storage device, such as a solid-state drive. For example, an internal controller of a storage device can determine characteristics of a log-structured file system hosted by a processor that is external to the storage device. The characteristics can indicate how data is arranged in the log-structured file system. The internal controller can then execute, based on the characteristics, a garbage collection process with respect to the data of the log-structured file system on behalf of the processor.

Abstract: An event limited field picker for a search user interface is described. In one or more implementations, a service may operate to collect and store data as events each of which includes a portion of the data correlated with a point in time. Clients may use a search user interface perform searches by input of search criteria. Responsive to receiving search criteria, the service may operate to apply a late binding schema to extract events that match the search criteria and provide search results for display via the search user interface. The search user interface exposes an event limited field picker operable to make selections of fields with respect to individual events in a view of the search results. In response to receiving an indication of a fields selected via the picker, visibility of selected fields may be updated to control which field and values are included in different views.

Abstract: A method for generating categorical and criterion-based search results from a search query including receiving the search query, generating one or more query fragments, determining a category corresponding to the search query, determining one or more filters applicable to the search query and one or more core search terms applicable to the search query based at least in part on the determined category and the one or more query fragments, generating at least one custom query for at least one target database in the one or more target databases based at least in part on the one or more filters, the one or more core search terms, the determined category, and one or more attributes of the at least one target database, and executing the at least one custom query on the at least one target database to generate a set of search results.

Abstract: A processor may receive data and generate a quantified representation of the data by processing the data using at least one machine learning (ML) algorithm, the quantified representation of the data indicating a sentiment of content of the data. The processor may automatically revise the content of the communications data. The revising may include determining a reaction to the content of the communications data, generating a quantified representation of the reaction, determining a difference between the quantified representation of the reaction and the quantified representation of the communications data, identifying, based on the difference, a portion of the content having an unintended sentiment, and replacing the portion of the content with different content.

Abstract: An illustrative computing system generates, based on a plurality of point-of-interest data records each including data representative of a distinct set of features for a distinct point-of-interest associated with a distinct geographic location, a graph data structure that includes the plurality of point-of-interest data records and a plurality of weighted feature relationships interconnecting the plurality of point-of-interest data records. The computing system generates one or more merged point-of-interest data records based on the graph data structure and provides the one or more merged point-of-interest data records to a mapping system to indicate one or more points-of-interest on a user interface map of a geographic area.

Abstract: The present invention relates to a management system, a search method, and a browsing method of a unified data object using a tag object. A unified data object management system and method may efficiently access and manage the data object by storing and managing the unified data objects including a file, non-file data, or dynamic data on the basis of the tag object and then providing a search result based on the tag object when a search command is entered by a user.

Abstract: Techniques are disclosed relating to managing distributed storage of data for various entities according to classifications for these entities. A database node of a distributed storage system may receive, from a first entity of a plurality of entities, a request to store a set of data. The database node may further obtain metadata associated with the first entity, wherein the metadata specifies one of a plurality of classifications for the entities. The database node may provide the set of data to one or more of a plurality of caches for storage. The caches may be located in two or more availability zones and are configured to store the set of data based on the classification for the first entity identified in the metadata associated with the first entity. The database node may also store the set of data in a shared object storage coupled to the database node.

Abstract: A method and system of providing material based on a user-initiated request utilizing an electronic database includes receiving search keywords to conduct a search and accessing a first database having previously stored contact information for the particular user in an initial table record. The method includes transforming data in the fields of the record for the particular user in the initial table to generate a record in a sanitized table, accessing a second electronic database having previously stored data structures corresponding to businesses, where each data structure maps selected keyword combinations to corresponding icons, and to particular material corresponding to each keyword combination, and displaying icons associated with search results having corresponding selected keywords near associated result items on an electronic display.

Abstract: A system and method enable anticipatory and robust storage, access, and processing of information for electronic devices in mobile and stationary environments providing an intelligent user environment hierarchy with user-customizable interfaces.

Abstract: A versioned file storage system (VFS) and method for operating and using the same is disclosed. In an aspect, a mechanism is provided wherein a first VFS interface unit coupling the VFS to a local data storage system is replaced with a second VFS interface unit in a coordinated procedure for taking the first unit offline, making a reliable snapshot of its data and cache structure in the VFS, and loading the same data and cache structure into the second VFS interface brought online. The first and second VFS interfaces transfer the necessary data to achieve the switch through respective side-loading daemons running in each interface. Clients in the local data storage system experience minimal interruption of services in the VFS.

Abstract: Certain implementations of the disclosed technology may include methods and computing systems for performing high-density data compression, particularly on numerical data that demonstrates various patterns, and patterns of patters. According to an example implementation, a method is provided. The method may include extracting a data sample from a data set, compressing the data sample using a first compression filter configuration, and calculating a compression ratio associated with the first compression filter configuration. The method may also include compressing the data sample using a second compression filter configuration and calculating a compression ratio associated with the second compression filter configuration.

Abstract: A compact data structure generation engine can be used to generate a compact data structure that represents performance data for high-scale networks. The compact data structure representing the performance data can be used to monitor the operation performed on or by a computer system to identify potentially anomalous conditions. In response, a corrective action can be taken to address the issue. This can be useful, for example, in improving the efficiency, effectiveness, and reliability of the computer system during operation.

Abstract: A data storage management approach is disclosed that performs backup operations flexibly, based on a dynamic scheme of monitoring block changes occurring in production data. The illustrative system monitors block changes based on certain block-change thresholds and triggers block-level backups of the changed blocks when a threshold is passed. Block changes may be monitored in reference to particular files based on a reverse lookup mechanism. The illustrative system also collects and stores historical information on block changes, which may be used for reporting and predictive analysis.