Abstract: In some examples, dark web content analysis and identification may include ascertaining data that includes text and images, and analyzing the data by performing deep learning based text and image processing to extract text embedded in the images, and deep embedded clustering to generate clusters. Clusters that are to be monitored may be ascertained from the generated clusters. A determination may be made as to whether the ascertained data is sufficient for classification. If so, a deep convolutional generative adversarial networks (DCGAN) based detector may be utilized to analyze further data with respect to the ascertained clusters, and alternatively, a convolutional neural network (CNN) based detector may be utilized to analyze the further data with respect to the ascertained clusters. Based on the analysis of the further data, an operation associated with a website related to the further data may be controlled.

Abstract: A text deduplication method and apparatus, and a storage medium are provided. The method includes: obtaining a text set, the text set including a plurality of to-be-deduplicated texts; capturing, for each to-be-deduplicated text, a corresponding subtext string from the to-be-deduplicated text; and determining, in the text set, to-be-deduplicated texts having a same subtext string, to obtain text subsets. Each subtext string corresponds to a text subset, and each text subset includes one or more to-be-deduplicated texts that have the corresponding subtext string. The method also includes performing text deduplication processing on the text subset corresponding to each subtext string, to obtain a deduplicated text set corresponding to each subtext string; and obtaining, according to the deduplicated text set corresponding to each subtext string, a result text set of the text set after the deduplication.

Abstract: Predictive queue flushing for real-time synchronization of data sets between two data stores, comprising a data synchronization software module that interfaces with each data store, and uses a queue monitor to record and store changes to data on each data store and calculate velocity and acceleration of event arrivals, and a policy manager to manage synchronization, and a query generator to incorporate policies from the policy manager and measurements from the queue monitor to direct the data synchronization software module, flushing the change queue in accordance with the established synchronization policy, yielding synchronized shared data sets.

Abstract: A method and system for data retrieval in an enterprise portal application. The method and system include receiving, in a data access layer, a request for object data from a business logic layer. The method and system further includes validating, by a schema layer in communication with the data access layer, that cache data of a cache and data of one or more databases of the enterprise portal application are synchronized. The cache data may include table data and index data of the one or more databases of the enterprise portal application. The method and system further include retrieving, if the cache is validated, table data from the cache, and returning the object data to the business logic layer, the object data corresponding to the retrieved table data.

Abstract: In an in-memory database management system, non-volatile random access memories (NVRAMs) are used to store database data and control data. Because this data is stored in NVRAM, the data survives system failures. Recovery from a system failure may be accomplished more quickly by, at least in part, modifying the surviving data in NVRAM, rather than loading an entire checkpoint image and applying uncheckpointed transactions needed to synchronize the database. Because in this form of recovery the database state that serves as the starting point for applying change records is the database as stored in the NVRAM, this form of recovery is referred to herein as in-memory-based recovery. Recovery, where the database state that serves as the starting point for applying change records is a checkpoint image, is referred to herein as checkpointed-based recovery. In-memory-based recovery eliminates or reduces the need to perform certain operations that are performed for checkpointed-based recovery.

Abstract: A system and method for performing a dynamic rollover of source and target latency in a replication environment. One or more tables of a source data store being replicated to a target data store are parked, wherein any subsequent changes for the parked tables are not replicated to the target data store. Open transactions are identified where the parked tables affect the source and target latency, wherein the open transactions are in-progress and not completed. The source and target latency are then calculated for the identified open transactions.

Abstract: A bias compensation method, system, and computer program product include modifying a behavior of a first analytic engine service with a second analytic engine service, where the first service accepts user submitted data and communicates an assessment of the data in a form of a label associated with the corresponding submitted data, where the second service accepts an input and communicates an assessment in a form of a label associated with the corresponding input, and where a behavior model of the first service and the second service includes a discrepancy between the output labels by each service with respect to true labels of data accepted, further including composing a new analytic engine service from the first service and the second service to optimize a service bias in terms of a test dataset based on the behavior model and the known true assessments.

Abstract: Techniques to configure media packages are described. In one embodiment, an apparatus may comprise a client support component operative to receive search term information from a client device at a server device; and configure the client device with a selected one or more high-priority media items; a media server search component operative to transmit the search term information to a plurality of media servers; receive a plurality of media items from the plurality of media servers in response to the transmitting of the search term information to the plurality of media servers; and select the one or more high-priority media items from the plurality of media items based on priority weights; and a media item evaluation component operative to assign the priority weights to each of the plurality of media items. Other embodiments are described and claimed.

Abstract: Predictive execution of query flows in an application aware database environment. A repository of previously received and registered database queries along with at least corresponding metadata having information about database query flows generating the database queries is maintained. Application metadata corresponding to a subsequent database query is received. The repository is checked to determine if the application metadata matches one of the previously received and registered database query flows. One or more queries corresponding to the query flow from the repository is/are retrieved if a match is determined. Execution of the retrieved one or more database queries is started prior to receiving the query from outside the repository.

Abstract: The present enhancement leaves production systems undisturbed while a remote application (“testbed application”) executes elsewhere (“testbed host”). An intermediary computing device hosts an enhanced pseudo-disk driver, pseudo-disks, and an enhanced media agent. The enhanced pseudo-disk driver creates the pseudo-disks, each one representing an associated point-in-time backup image residing in secondary storage. A network, e.g., an Internet Protocol (IP) network or a Fibre Channel (FC) Storage Area Network (SAN), connects the intermediary device with the testbed host, and the enhanced media agent exposes pseudo-disks over the network using iSCSI or FC protocol, respectively. The testbed application uses an exposed pseudo-disk as its recovery data source, such that pseudo-disk resources provide data on an as-needed basis sufficient for the testbed application to operate, yet (a) without restoring the entire associated backup image from secondary storage and (b) without impacting the production environment.

Abstract: A search request for content can be initiated by a user, and the content that is relevant to the search request can be identified and presented in a manner that indicates the content's trustworthiness or relevancy. The identified content can be ranked based on the number of times the content has been referenced as well as by source that referenced the content. The relevant identified content can then be displayed in an ordered list that is ordered based on the number of times the content has been referenced. In some cases, the order may be modified by the authority of the source.

Abstract: Systems and methods are described for providing an implementation of the MapReduce programming model utilizing tasks executing on an on-demand code execution system, utilizing a stream data processing system as an intermediary between map and reduce function. A map task implementing a map function can process portions of a data set, to generate outputs associated with different values for a measured attribute of the data set. Executions of the map task can publish outputs to a data stream on the stream data processing system, which stream is configured to utilize the measured attribute as a partition key for the stream. Based on the partition key, the stream data processing system can divide the stream into sub-streams, each containing a relevant subset of the outputs. The on-demand code execution system can execute a reduce task to apply the reduce function to the outputs of each sub-stream, thereby completing the MapReduce process.

Abstract: Creating a summary of a plurality of texts includes tokenizing each of a plurality of texts to obtain tokens; generating a vector space using a first set of vectors having one or more obtained feature scores equal to or larger than a predefined value; executing non-hierarchical clustering using the vector space to generate a first plurality of clusters; choosing a first representative text in each of the plurality of clusters; generating a second set of vectors from each of the arrays generated based on a number of characters included in tokens of the representative texts; executing hierarchical clustering using the second set of vectors to generate a second plurality of clusters; and in response to a determining a number of clusters included in the second plurality of clusters, determining a second representative text for each of the clusters included in the second plurality of clusters.

Abstract: The disclosure generally describes methods, software, and systems for performing automatic backups to the cloud. Application code in a database system updates rows and columns in the database for an updated object, and automatically performs a backup of database information to the cloud. Performing the backup includes directly executing a REST call to the cloud storage solution to which the backup of the database information is performed. Performing the backup includes: sending a request, using a REST call, to create a new object in the cloud storage solution; in response to receiving an acknowledgement of a successful creation of the new object, sending, to the cloud storage solution, REST PUT calls that include contents of the object for the cloud storage solution to store into the created new object; receiving, from the cloud storage solution, a specific key identifying the backup; and locally storing the specific key.

Abstract: Author-created digital agents and content corpora for electronic documents are described. A content corpora service can include application programming interfaces such as for adding content to a corpus, attaching a corpus to a document, retrieving corpora associated with an author, and searching content of a corpus. An author-created digital agent can receive a request from a consumer of a document, determine corpora associated with the document, formulate a query based on the request, and search content associated with the corpora associated with the document.

Abstract: Embodiments for a mostly unique file selection process for a deduplication backup system are described. The process assigns tags to files. A tag serves as a hint about the similarity of files in a deduplication file system. It is expected that files from the same client machine will be assigned the same tag. The tag is the smallest unit of migration and serves as a hint of the similarity of the files. The MUFS process measures the uniqueness using a u-index that is a function of the total unique size of a tag relative to the total size of the tag. A load balancer then selects the most unique tags for migration to free the maximum space. It uses the u-index to measure the uniqueness percentage of a tag, so that tags with the highest u-index are selected for migration to free up maximum space on the source node.

Abstract: A method for archiving data relative to a user equipped with an electronic apparatus and having a user account on a server including a database, the method including: transmitting the data relative to the user from an electronic device to the server; storing the data relative to the user in a first container of the database of the server; generating, by the server, a temporary reference associated with the first container of the database; transmitting the temporary reference from the server to the electronic apparatus; accessing the data relative to the user from the electronic apparatus, a connection between the electronic apparatus and the server having been established previously.

Abstract: The present disclosure relates to methods for ranking location data to increase processing efficiency and user-interface usability. A method includes receiving from a client a query that defines an area, subdividing the area into a plurality of grid areas, and determining a set of locations that are disposed in the area. The method includes dividing the set of locations into a plurality of groups based on the grid area that corresponds to each respective location. Within each group, the method includes scoring and sorting the locations according to a set of criteria, and assigning a respective rank to each of the locations according to the relative position of each of the locations in the group. The method further includes recombining the locations of plurality of groups and sorting by rank to yield a grid-ranked set of locations, and sending to the client the grid-ranked set of locations.

Abstract: A method and an apparatus for updating data for a distributed database system are disclosed.

Abstract: A computer-implemented method for recording file dependencies. A non-limiting example of the computer-implemented method includes creating, by the processor, a new inter-dependencies object in an inter-dependencies registry and writing, by the processor, an inter-dependency relationship between a first file and a second file from which the first file depends to the inter-dependency object in the inter-dependencies registry. The computer-implemented method further provides, by the processor, the inter-dependencies registry to a system upon receiving a call to backup the system.