Abstract: In some embodiments, the disclosed subject matter involves a server query optimizer for parametric query optimization (PQO) to address the problem of finding and reusing a relatively small number of query plans that can achieve good plan quality across multiple instances of a parameterized query. An embodiment processes query instances on-line and ensures (a) tight, bounded cost sub-optimality for each instance, (b) low optimization overheads, and (c) only a small number of plans need to be stored. A plan re-costing based approach is disclosed to provide good performance on all three metrics. Other embodiments are described and claimed.

Abstract: An online system selects a number of content items and presents the selected content items through a feed to a target user, where each selected candidate content item is likely to cause the target user to post his/her new content in response to the selected candidate content item within a short period of time. The online system selects the candidate content items for presentation through the feed using a trained post session prediction model. A ranking score for a candidate content item is determined based on a probability value indicating likelihood that the candidate content item causes the target user to post new content. The probability value is determined by applying a trained model to user features of the target user and content features of the candidate content item. The online system ranks the candidate content items based on their ranking scores and present the feed to the target user.

Abstract: A method, computer program product, computing system, and system for backing up a virtual machine using a snapshot with memory are described. The method may include receiving a selection of a virtual machine to be backed up, wherein the virtual machine reads from a source virtual disk. The method may further include creating a non-quiesced snapshot with memory of the virtual machine that captures a state of the virtual machine. The method may also include creating a linked clone of the virtual machine and reverting the linked clone back to the state of the virtual machine using the non-quiesced snapshot with memory. Additionally, the method may include gracefully shutting down the linked clone of the virtual machine such that the linked clone is in a consistent state. Moreover, the method may include reading data from one or more virtual disks associated with the linked clone and saving the data.

Abstract: Datasets are annotated with metadata including categories. Each category corresponds to one or more fields. A hierarchy mapping is generated to indicate a hierarchical relationship between different categories. A natural language query specifies a first granularity level indicating a particular category and one or more field values corresponding to the particular category. Based on the hierarchy mapping, one or more categories that are hierarchically related to the particular category are identified. Based on the metadata, two or more datasets that include at least one hierarchically related category is selected. Based on the first granularity level, one or more dataset filters are generated. The one or more dataset filters are translated to a second granularity level corresponding to the at least one hierarchically related category. The translated filters are applied to at least one of the selected datasets. The two or more datasets are joined to generate a composite dataset.

Abstract: A method for dynamic event detection based on content from a set of social networking systems including receiving content from the set of social networking systems, identifying a plurality of content associated with a geofence, the content that was generated within a predetermined time period, determining feature values from the plurality of content for each of a set of features, determining an event probability for the geofence based on the feature values, and detecting an event within the geofence in response to the event probability exceeding a threshold event probability.

Abstract: A user interaction with a computer device is monitored, the user interaction comprising at least user consuming material via the computer device. Content of the material the user is consuming is identified. Physiological pattern generated by the user while consuming the content is captured via at a sensor device. Responsive to detecting that the physiological pattern represents an outlier, a term in the content is determined for which additional information is to be provided. The term may be determined from the content based on user knowledge, frequency of the term appearing in previous content consumed by the user and popularity of the term. A search query is executed with the determined term. Result of the search query may be filtered based on the user's knowledge. The filtered result and at least one of the previous content containing the term the user has previously consumed is presented.

Abstract: A system, a method, and a non-transitory computer readable for generating a profile of one or more data objects comprising determining a format of the at least one data object and selecting a data transformation policy based on the format of the at least one data object and generating a model descriptive of the non-structured data contained in the at least one data object based on the data transformation policy and selecting at least a portion of the model indicative of a portion of the non-structured data and generating a profile of the portion of the non-structured data contained in all of the one or more data objects.

Abstract: An information processing system, a computer readable storage medium, and a method of managing a query to find a set of JSON documents in a multi-schema JSON document store. A query engine receives a first query to find at least one JSON document in a plurality of sets of JSON documents stored in the JSON document store, each set of JSON documents being organized in a unique JSON schema version related to a unique JSON schema version of each other set of JSON documents by at least one schema change. The first query is organized in a first unique JSON schema version. A query translator translates the first query into a plurality of queries based on the plurality of schema changes. The first and the plurality of queries are executed to provide a collective set of query results.

Abstract: Systems, methods and/or software for identifying relevancy and trending among multiple messages in a social networking context. Topics that are of interest and/or relevant to a user are classified based on factors including frequency and trending behavior. Alert indicators, such as color-coded “sparklines” are generated and displayed close to the associated messages, to attract appropriate levels of attention from the user. The alert indicators are regularly updated to reflect trending changes, in near real time, as they occur.

Abstract: Disclosed herein is a system and method for identifying a spam email message. To identify a spam message a similarity measurement hash and a sender hash is generated for each email message. Two or more previously received email messages are compared with an incoming email message. The incoming email message is identified as a spam message when the similarity measurement hash between incoming message and one of the received messages matches and the corresponding sender hash does not match. The system may integrate with other email servers through a DNS to identify spam emails across different organizations and locations. The system and method may further apply rules to particular match to whitelist a potential spam email.

Abstract: Methods and apparatus for processing images are provided. The image processing method includes obtaining an image using an electronic device; associating first metadata corresponding to the image with a first layer of a hierarchical data structure, wherein the hierarchical data structure includes a plurality of layers, including the first layer and a second layer; associating second metadata with the second layer, wherein the second metadata corresponds to one or more of a plurality of blocks into which the image is divided; and storing the hierarchical data structure in association with the image in a storage unit operatively coupled to the electronic device.

Abstract: A method includes identifying a first table including data. The first table has associated metadata, an associated replication state, an associated replication log file including replication logs logging mutations of the first table, and an associated replication configuration file including a first association that associates the first table with a replication family. The method includes inserting a second association in the replication configuration file that associates a second table having a non-loadable state with the replication family. The association of the second table with the replication family causes persistence of any replication logs in the replication log file that correspond to any mutations of the first table during the existence of the second table. The method further includes generating a third table from the first table, the metadata associated with the first table, and the associated replication state of the first table.

Abstract: In one embodiment, a method includes identifying a trending topic on an online social network, accessing a plurality of content objects posted to the online social network, wherein each content object is associated with the trending topic, and categorizing each content object into clusters based on a natural-language analysis of the content objects. The method may further include calculating a quality score for each cluster, wherein the quality score for each cluster is based at least on a measure of recency of one or more publication dates of the content objects within the cluster, select the cluster with the highest quality score as a trending cluster, and generating a trending-topic interface that includes a headline and description of the trending topic, wherein the headline and description are extracted from one or more of the content objects within the trending cluster.

Abstract: Bias identification in social network posts. A method performs a semantic comparison of social network posts by a user of a social network to identify a group of social network posts by the user about a specific topical content category. The method determines a respective semantic sense of each social network post of the group. The method also ascertains a semantic sense pattern among social network posts in the group of social network posts about the specific topical content category. The method identifies a bias in at least one social network post of the group of social network posts based on identifying that the respective semantic sense in each of the at least one social network post deviates from the ascertained sematic sense pattern. The method uses the identified bias to predict bias in one or more other social network posts made by the user on the topical content category.

Abstract: A clinical data aggregation system and method, comprising ingesting, transforming and storing data in a clinical data lake. The present invention uses an Extract Load and Transform (ELT) rather than traditional Extract Transform and Load (ETL) design principle. The data hub platform leverages modern noSQL databases which makes the platform highly flexible to configure studies with any design complexity with relative ease.

Abstract: Sorting an array consisting of large number of elements. The present invention provides an apparatus for executing a multiway merging process which generates one output sequence from N input sequences on an array consisting of a large number of elements. The apparatus includes: an input sequence production unit configured to produce an input sequence by pairing a key from an element for use in a comparison during sorting with an index identifying the element for each element or sorted array of elements; an execution unit configured to execute the multiway merging process on N input sequences without rearranging the elements based on which input sequences have been produced; and a generation unit configured to rearrange the elements constituting the input sequences according to an output sequence that has been generated by the multiway merging process in the execution unit so as to generate a sorted array of elements.

Abstract: A method and system for restoring a database are described. An identification of a restoration point of the database is received. Using a processor, metadata of a plurality of backups are analyzed to identify from the plurality of backups a reduced dataset required to restore the database to the restoration point. The reduced dataset is provided for use in restoring the database to the restoration point.

Abstract: Systems and method of the present invention are directed to data transfer systems and methods. Embodiments enable a user to access an electronic file to ascertain certain attribute data associated with one or more files, and allow the user to modify certain elements of the subject attributes file during the course of transferring the one or more files from a source location to a target or destination location.

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: A system and method are disclosed for the collection and aggregation of data from contributing members of a community, such as health-related, personal, genomic, medical, and other data of interest for individuals and populations. Contributors become members of a community upon creation of an account and providing of data or files. The data is received and processed, such as to analyze, structure, perform quality control, and curate the data. Value or shares in one or more community databases are computed and attributed to each contributing member. The data is controlled to avoid identification or personalization. Steps are taken to determine incompleteness and incorrectness of the data, and the data may be improved or completed automatically, based upon interaction with members, additional contributions of data, and so forth.