Abstract: Methods, systems, and computer-readable media for transforming validated user interface layouts using inter-platform design mapping data are presented. A computing device may load source mockup data defining a first user interface layout that includes first user interface elements that each comply with a first plurality of rules. In addition, each of the first user interface elements has a parent-child relationship with at least one different one of the first user interface elements. The computing device may load interface mapping data defining a plurality of mapping data. The computing device may produce target mockup data by using the interface mapping data to convert each of the first user interface elements into a corresponding second user interface element of a second user interface layout, while maintaining each of the parent-child relationships in the first user interface layout. The computing device may store the target mockup data defining the second user interface layout.

Abstract: Techniques for identifying and processing graymail are disclosed. An electronic message store is accessed. A determination is made that a first message included in the electronic message store represents graymail, including by accessing a profile associated with an addressee of the first message. A remedial action is taken in response to determining that the first message represents graymail.

Abstract: A back-end application computer server may access a potential metadata entries data store containing a set of potential metadata entries, each entry including at least a data element name and a data element definition. A metadata collection system may be executed to automatically populate a metadata template based on the set of potential metadata entries. The system may update entries in the metadata template using a translation tool and validate the updated entries in the metadata template to ensure that required data elements are present. The system may also certify the validated entries load the set of certified metadata entries, including the certified data element names and certified data element definitions, into an enterprise metadata repository data store. Electronic messages may be exchanged to support at least one interactive user interface display associated with certification of the metadata template.

Abstract: An intuitive interface that allows a non-technical person to search a computer database without having to understand the underlining database software or its structure by assembling a graphical database query.

Abstract: Aspects of the present disclosure relate to systems and methods for dynamically adjusting queries based on data protection configurations. In one example, a request for data is received from an application. The data is indexed in at least one of a first index database, a second index database and a third index database. A first key notification indicating a protection status of a personal device is received. A query is sent to each of the first index database, the second index database and the third index database for the requested data based on the protection status of the personal device. The requested data is loaded into the application. A second key notification indicating a change in the protection status of the personal device is received. At least some of the loaded data is removed from the application based on the change in the protection status of the personal device.

Abstract: A system and method for identifying a user is described. The system identifies collaboration metrics based on user interaction data of users of an application from an enterprise. The system accesses enterprise organizational data of the enterprise and identifies topic data from the user interaction data and the enterprise organizational data. The system trains a machine learning model based on the collaboration metrics, the enterprise organizational data, and the topic data.

Abstract: In one embodiment, an analytics tracking system is disclosed that comprises an interface in electronic communication with one or more consumer devices configured to enable a corresponding consumer to access the interface via a mobile application. The system further comprises a consumer data store comprising data regarding at least one consumer, a movement data store comprising data regarding locations and/or movement of the at least one consumer, and an online behavior data (OBD) data store comprising data associated with browsing and/or application data histories of the at least one consumer. The system further comprises a dynamic analysis system configured to analyze data from the consumer data store, the movement data store, and the OBD data store to generate at least one of custom information for the at least one consumer or identify a location for presentation of information to the at least one consumer.

Abstract: System and methods for presenting updated data using persisting views is disclosed. An example method comprises: identifying a first dataset and a second dataset; tracking updates to rows in each of the first dataset and the second dataset using a first local marker and a second local marker, respectively; performing a join between the first dataset and the second dataset; creating a materialized view using the join; identifying updates to one or more rows of the first dataset and the second dataset; identifying rows in the materialized view corresponding to the one or more rows of the first dataset and the second dataset with the identified updates, and updating, by one or more processing devices, the identified rows in the materialized view based on the identified updates to the one or more rows of the first dataset and the second dataset.

Abstract: The present disclosure describes systems and methods for processing schemas to generate set representations thereof. Schema set representations can be used to generate schema coverage notifications. Set operations can be performed on schemas to compare schemas and identify whether any support changes have been made thereto.

Abstract: A device may receive a merchant query including first merchant data associated with a first merchant. The first merchant data may be provided, as input, to a merchant matching model associated with a merchant data structure, the merchant matching model having been trained to determine a measure of confidence that input merchant data corresponds to an existing merchant in the merchant data structure. The device may receive, as output from the merchant matching model, a measure of confidence that the first merchant data corresponds to a second merchant, the second merchant being associated with second merchant data stored in the merchant data structure. The device may also determine, based on the measure of confidence, that the first merchant corresponds to the second merchant. Based on the determination, the device may obtain the second merchant data from the merchant data structure and perform an action based on the second merchant data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adaptive educational activities are disclosed. In one aspect, a computer-implemented method includes receiving, by a computing device that is configured to grant a given user access to a first group of activity modules based on a classification of the given user, user data and classification data. The method includes granting the user access to a first activity module and a second activity module, and preventing the user from accessing a third activity module. The method includes receiving interaction data based on the user interacting with the first activity module, and determining that the interaction data indicates an improper classification of the user. Based on the interaction data, the method includes maintaining the classification of the user, granting the user access to a fourth activity module, and preventing the user from accessing the second activity module.

Abstract: Techniques herein use in-memory column vectors to process data that is external to a database management system (DBMS) and logically join the external data with data that is native to the DBMS. In an embodiment, a computer maintains a data dictionary for native data that is durably stored in an DBMS and external data that is not durably stored in the DBMS. From a client through a connection to the DBMS, the computer receives a query. The computer loads the external data into an in-memory column vector that resides in random access memory of the DBMS. Based on the query and the data dictionary, the DBMS executes a data join of the in-memory column vector with the native data. To the client through said connection, the computer returns results of the query based on the data join.

Abstract: Non-limiting examples of systems, methods, and devices for automatic triaging of diagnostic failures for heterogeneous groups of tenants of a Software-as-a-Service, multi-tenant environment are disclosed herein. In an implementation, telemetry data for the heterogeneous groups of tenants is analyzed to classify individual tenant failures and detect the health status of the individual tenant. Tenant failures and/or tenant health statuses are filtered according to a threshold level. Anomalies having metrics that meet or exceed the threshold level are further analyzed to determine their priority (e.g., to a specific tenant). If the anomalies are known, then an existing entry for the anomaly is tagged and its priority may be changed. If the anomalies are unknown, then an entry is generated for the anomaly and prioritized. Tenants may be notified of a detected anomaly and may provide feedback. The feedback may be used to update triaging models.

Abstract: A target video and video description information corresponding to the target video are acquired; salient object information of the target video is determined; a key frame category of the video description information is determined; and the target video, the video description information, the salient object information and the key frame category are input into a processing model to obtain a timestamp of an image corresponding to the video description information in the target video.

Abstract: A database management system stores data for a table as a journal of transaction. The records of the journal comprise information indicative of changes applied to a document of the table. The database receives a query on a table of transactions performed on the table. In response to the query on the table of transactions, the database generates results by retrieving and projecting the records of the journal in accordance with the query. The results of the query are indicative of changes applied to the document of the table.

Abstract: A system includes a plurality of computing units. A first computing unit of the plurality of computing units comprises: a communication interface configured to receive an indication to roll up data in a data table; and a processor coupled to the communication interface and configured to: build a preaggregation hash table based at least in part on a set of columns and the data table by aggregating input rows of the data table; for each preaggregated hash table entry of the preaggregated hash table: provide the preaggregated hash table entry to a second computing unit of the plurality of computing units based at least in part on a distribution hash value; receive a set of received entries from computing units of the plurality of computing units; and build an aggregation hash table based at least in part on the set of received entries by aggregating the set of received entries.

Abstract: A data interpretation apparatus including a platform configured to automatically execute type conversion of an object. The platform is provided in a control unit of the data interpretation apparatus, and includes an obtaining unit and an interpretation unit. The obtaining unit obtains input data as the object of the platform. The interpretation unit generates an initial graph with respect to the object, and performs interpretation by automatically growing a graph from the initial graph while executing, as necessary, the type conversion of the object associated with each node of the graph toward extension or toward intension.

Abstract: The present invention provides a platform architecture, a development application framework and a method for codeless development of one or more Supply chain management (SCM) enterprise application. The invention includes a layered platform architecture for supporting and executing development of SCM applications. The platform and method provide interaction of an SCM application user, a citizen developer user and a platform developer user with one or more layers of the platform architecture for codeless development of the SCM applications.

Abstract: Systems, methods, apparatus, computer program code and means to improve dynamic data processing associated with one or more automated rating applications are provided. In some embodiments, an apparatus may include a communication device to receive a business type and a business location. The apparatus may also include a business owner's policy coverage or standalone general liability coverage platform to query a rating database, the query resulting in at least a first price for an entity. The apparatus may further include a professional liability coverage platform operating in parallel with a business owner's platform.

Abstract: The present disclosure provides methods, apparatus, and systems for implementing and operating a memory module, for example, in a computing that includes a network interface, which may be coupled to a network to enable communication with a client device, and host processing circuitry, which may be coupled to the network interface via a system bus and programmed to perform first data processing operations based on user inputs received from the client device. The memory module may be coupled to the system bus and include memory devices and a memory controller coupled to the memory devices via an internal bus. The memory controller may include memory processing circuitry programmed to perform a second data processing operation that facilitates performance of the first data processing operations by the host processing circuitry based on context of the data block indicated by the metadata.

Abstract: Disclosed is a method for tracking an object, which is performed by a computing device including at least one processor, including: obtaining a query set including one or more query samples from a first frame included in an image sequence including two or more image frames; obtaining a detection set including one or more detection samples from a second frame included in the image sequence; and determining a label corresponding to each query sample included in the query set, based on the label of each detection sample included in the detection set.

Abstract: Methods and systems are provided for automatically generating asset records that are stored and maintained at a database system of a cloud-based computing system. Asset information can be acquired for assets from sources regarding the assets or a representation of the assets. The asset information can be processed to detect assets and analyzed to determine an asset type for each detected asset. For each detected asset, based on an asset type of that detected asset, pertinent header information for that detected asset can be extracted (e.g., asset information and data for that detected asset, associated properties of each detected asset, etc.). An asset record for each detected asset can then be generated, and then stored at the database system, for example, as a row in an asset object of the database system, where each asset record for each detected asset includes pertinent header information for that detected asset.

Abstract: Embodiments of methods, apparatuses, devices and/or systems for manipulating hierarchical sets of data are disclosed.

Abstract: The present application relates to a field of smart searching technology, and provides a method and an apparatus for searching a multimedia content, a device, and a storage medium. The method includes: acquiring a query vector of query information; determining, from a search library, a first category matching the query vector, wherein the search library comprises a plurality of categories, each of the categories comprises a plurality of vectors, and each of the vectors is associated with a corresponding multimedia content; and inquiring, in the first category, a target vector matching the query vector, and acquiring the multimedia content corresponding to the target vector.

Abstract: A database replication using heterogenous encoding is provided. Aspects include obtaining a database and analyzing a data pattern of data in the database. Aspects also include identifying a plurality of candidate encoding formats and evaluating a computing cost for encoding the database for each of the plurality of candidate encoding formats. Aspects further include selecting an encoding format from the plurality of candidate encoding formats based at least in part on the computing cost and storing a backup copy of the database using the encoding format.

Abstract: This disclosure relates to an information replying method, apparatus, electronic device, computer storage medium, and product. The method includes: after favoriting target information, displaying the target information in a favorites page in response to a viewing instruction with respect to the target information, the target information being obtained by commenting on or replying to target multimedia content; receiving a reply instruction with respect to the target information; and replying to the target information in response to the reply instruction.

Abstract: Embodiments of the invention include a computer-implemented method for detecting anomalies in non-stationary data in a network of computing entities. The method collects non-stationary data in the network and classifies the non-stationary data according to a non-Markovian, stateful classification, based on an inference model. Anomalies can then be detected, based on the classified data. The non-Markovian, stateful process allows anomaly detection even when no a priori knowledge of anomaly signatures or malicious entities exists. Anomalies can be detected in real time (e.g., at speeds of 10-100 Gbps) and the network data variability can be addressed by implementing a detection pipeline to adapt to changes in traffic behavior through online learning and retain memory of past behaviors. A two-stage scheme can be relied upon, which involves a supervised model coupled with an unsupervised model.

Abstract: Value-added services that allow for a seamless integration of actions related to activities and/or events are provided. A determination is made that an event has started based on scheduled event data or historical information associated with a user. Profile data associated with the user is identified based on the start of the first event. The identity of the user is verified based on a mapping between the profile data and data related to the first event. Further, an activity related to a second event is triggered after completion of a transaction of the first event is completed. A suggested action may be activated based on the trigger event. The suggested action is based on historical information associated with the user and is not a component of the first event or the second event.

Abstract: A method of processing top-k (k is a natural number) query in array data is described. The method of processing the top-k query is performed in a computing device including at least a processor, and includes dividing an array including a plurality of cells into a plurality of partitions, and finding an ith answer in the array.

Abstract: A method of distributed file deletion, performed by a storage system, is provided. The method includes receiving, at the storage system, a request to delete a directory and contents of the directory and adding the directory to a first set, listed in a memory in the storage system. The method includes operating on the first set, by examining each directory in the first set to identify subdirectories, adding each identified subdirectory to the first set as a directory, and adding each examined directory to a second set listed in the memory. The method includes deleting in a distributed manner across the storage system without concern for order, contents of directories, and the directories, listed in the second set.

Abstract: A method for predicting the behavior of an electronic social network (ESN) includes identifying one user's connections with other users and creating a data structure in a memory that represents the users and their connections in the ESN. A plurality of data sources for electronic communications between users are analyzed and assigned a relative importance value. A weight is also assigned to each of the connections between the users. The weight is an encoded value computed based on a link structure of the connections where the link structure includes metadata indicating a category and a status of the respective connection. The probability that one user will communicate with one of the other users is calculated based on the analyzed plurality of data sources calculating, and the user's connections with respect to other users are ranked based on the calculated probabilities.

Abstract: A plurality of histograms are maintained with respect to a dataset. The dataset includes a plurality of data segments. In response to a query that includes a plurality of conditions ordered in an initial sequence, a plurality of corresponding rejection rates is determined for the plurality of conditions based at least in part on the plurality of histograms. The plurality of conditions are re-ordered according to the plurality of corresponding rejection rates associated with the plurality of conditions to form a reordered sequence for the plurality of conditions. The query is executed according to the reordered sequence of the plurality of conditions.

Abstract: An example method of detecting repetitive patterns of user interface actions comprises: defining a set of overlapping shingles on a sequence of user interface events; grouping the shingles into a plurality of shingle clusters based on a chosen shingle similarity metric; selecting a shingle cluster having a maximum, among the plurality of shingle clusters, value of a chosen intra-shingle similarity metric; and identifying a repetitive user interface operation represented by the selected shingle cluster.

Abstract: Various embodiments of the present technology generally relate to the characterization and improvement of software applications. More specifically, some embodiments relate to systems and methods for modeling code behavior and generating new versions of the code based on the code behavior models. In some embodiments, a method of improving a codebase includes recording a run of the existing code, characterizing the code behavior via one or more models, prototyping new code according to a target language and target environment, deploying the new code to the target environment, and comparing the behavior of the new code to the behavior of the existing code. In some implementations, generating new code based on the behavior models includes using one or more machine learning techniques for code generation based on the target language and environment.

Abstract: In an embodiment a method is provided. The method includes receiving forecast information in a computer from a first group of users. The method also includes integrating the forecast information into a database and corresponding OLAP cube accessible by the computer. The method further includes receiving comments on specific entries of the forecast information in the computer from a second group of users. The method also includes receiving changes of the forecast information in the computer from a second group of users The method further includes integrating comments and changes into the database and OLAP cube. Moreover, the method includes providing a display of the comments and the changes to the first group of users in an interface to the computer.

Abstract: Examples described herein include systems and methods for providing a workflow on a user device. A user device can receive image data from a camera of the user device. The device can perform object recognition to recognize an object from the image data, as well as classification of the object. The user device can match the object classification with a backend system. The example method can also include launching a workflow form associated with the matching backend system. The user device can launch a form having these fields available, either within the workflow application or within a dedicated application associated with the relevant backend system. The user device can pre-fill one or more information fields in the workflow form based on the object classification, providing the user with a head start on submitting the form to the appropriate system.

Abstract: Systems and methods for providing individualized meeting content to participants in online meetings. Participant preferences may be summarized and displayed for speakers to see and attempt to follow, thus increasing the likelihood that meetings will progress according to the preferences of their attendees. Participants may also have their individual meeting feeds tailored to their preferences, if those preferences can be met in real time, during the meeting. Participants may further receive individual recordings of the meetings afterward, for those preferences that cannot be met in real time. In this manner, meeting participants may experience personalized versions of meetings, tailored to their particular preferences. This may improve participant interest in, and engagement with, online meetings.

Abstract: A method, computer system, and computer program product for web conference replay association are provided. The embodiment may include recording a web meeting utilizing web conference software. The embodiment may also include parsing meeting invitation information associated with the recorded web meeting. The embodiment may further include extracting meeting-related information associated with the recorded meeting. The embodiment may also include updating meeting replay information based on the extracted meeting-related information by modifying an original meeting invitation. The embodiment may further include sending an update notification to a required participant.

Abstract: A bottom-up hierarchical computer network architecture is provided. The architecture may include a central server. The architecture may also include a plurality of edge nodes that may be coupled to the central server. At least a first one of the edge nodes may be configured to process a transaction, compile data associated with the transaction, and store the data as a master dataset in the first edge node. The architecture may also include a data administration module. The data administration module may be configured to compare the master dataset in the first edge node to transactional data in the central server. When the transactional data in the central server is inconsistent with the master dataset in the first edge node, the data administration module may be configured to update the transactional data in the central server to be consistent with the master dataset in the first edge node.

Abstract: An approach is provided for semantic filtering to filter an input data stream of a data system to reduce an amount of data processed by the data system. The approach, for example, involves retrieving training data comprising a plurality of training data items responsive to a plurality of training queries conducted in a data system. The approach also involves performing a vectorization and a tokenization of the training data to generate a plurality of vectors comprising a plurality of tokens extracted from the plurality of training data items. The approach also involves computing a plurality of reference semantic scores for the plurality of vectors based on a semantic distance between the plurality of tokens. The approach also involves transforming the plurality of reference semantic scores into a plurality of transformed reference semantic scores based on a modulation function. The approach also involves fitting a filtering function to the plurality of transformed reference semantic scores.

Abstract: A data structure called a product version map is introduced. The product version map contains a catalog of available application versions to be used by the application orchestration services. It can describe the available versions. For each version, there is an image, such as a Docker® container image, that can be used to instantiate the application instance. Furthermore, in some example embodiments, an expiration date can be given, which could be used to enforce upgrades of application instances when their used version expires.

Abstract: A verified method of high-value, person-to-person communication is provided. The method comprises creating a unique dynamic messaging link recognizable to a selected intended recipient; creating a transmissible personal hypermedia message to which the link is assigned; and storing the hypermedia message on a device accessible to a network. The link comprises a recognizable proprietary domain name and a random hash code. The individual is sent a direct message and the device is monitored for transmission thereto of the link, analyzing and storing accompanying metadata. The direct message contains an invitation to click on the link over the imprimatur of a person known to the recipient. The invitation contains descriptive material relating to the hypermedia message. Upon activation of the link, without redirection, the hypermedia message is transmitted to the recipient and the sender is notified. The sender is alerted if the link has not been activated within a predetermined period.

Abstract: A data structure (e.g., field, method parameter, or method return value) is defined by a descriptor to be of a particular type, which imposes a first set of restrictions on values assumable by the data structure. Separately, the data structure is associated with a type restriction that defines a second set of restrictions that further restricts the values assumable by the data structure. The descriptor and type restriction are encoded separately in a program binary. Responsive to identifying a value for the data structure that (a) is not forbidden by the first set of restrictions defined the descriptor and (b) is forbidden by the second set of restrictions defined by the type restriction, a runtime environment may perform a restrictive operation, such as: blocking storage of the value to a field; blocking passing of the value to a method parameter; or blocking return of the value from a method.

Abstract: Techniques for database configurations for remote deployments include a method performed by a data platform executing instructions on at least one processor. The method includes provisioning by at least one hardware processor, a remote deployment of a data platform with a plurality of objects. The plurality of objects includes at least one task object associated with a primary deployment of the data platform. The method further includes detecting using the at least one task object of the plurality of objects, a request to replicate a database stored at the primary deployment of the data platform at the remote deployment. Responsive to the request, database data is pushed from the database stored at the primary deployment to at least a second object of the plurality of objects provisioned at the remote deployment.

Abstract: Embodiments of the invention is directed to a method for performing efficient data searches in a distributed computing system. The method may comprise, receiving a first key. The method may further comprise determining a hash map associated with the first key from among a plurality of hash maps. In some examples, the obtained hash map maps a partition of a set of keys to particular index values. The method may further comprise determining an index value associated with a second key using the determined hash map. The method may further comprise determining transaction processing data associated with the first key using the determined index value and providing the transaction processing data. Utilization of the plurality of hash maps may enable a data search to be performed using on-board memory of an electronic device of the distributed computing system.

Abstract: Aggregation of data and subsequent diving and/or grouping (i.e., slicing and dicing) of the aggregated data occurs by multi-stage parallel processing. Initially, multiple aggregation jobs are executed in parallel to aggregate data from a granular level to a higher level. Subsequently, query sets are executed in parallel for each of the aggregation jobs to divide and/or group the higher level data according to the queries and the segregated results are stored in a single table, which is partitioned for each aggregation job. Parallel processing of the query sets and storage in a single table is made possible by implementing a hybrid dynamic database schema, in which each table in the database includes one or more additional fields, each additional field comprising a set of dimension-dimension value pairs.

Abstract: The present disclosure relates to an attack group classifying apparatus. The apparatus includes a feature extracting unit configured to extract, from a data set including documents of specific formats, features for identifying attack groups using the documents of the specific formats and an information generating unit configured to generate a machine learning data set based on the extracted features. Further, the apparatus further includes a learning model unit configured to execute a machine learning algorithm on the machine learning data set to generate a classification model for identifying the attack groups.

Abstract: Systems and methods for very fast grouping of “similar” SQL queries according to user-supplied similarity criteria. The user-supplied similarity criteria include a threshold quantifying the degree of similarity between SQL queries and common artifacts included in the queries. A similarity-characterizing data structure allows for the very fast grouping of “similar” SQL queries. Because the computation is distributed among multiple compute nodes, a small cluster of compute nodes takes a short time to compute the similarity-characterizing data on a workload of tens of millions of queries. The user can supply the similarity criteria through a UI or a command line tool. Furthermore, the user can adjust the degree of similarity by supplying new similarity criteria. Accordingly, the system can display in real time or near real time, updated SQL groupings corresponding to the newly supplied similarity criteria using the originally computed similarity-characterizing data structure.

Abstract: Methods, systems, and computer-readable media for augmenting storage functionality using emulation of storage characteristics are disclosed. An access request for a data set is received. The access request is formatted according to a first protocol associated with a first data store, and the first data store is associated with first storage characteristics. The access request is translated into a translated access request. The translated access request is formatted according to a second protocol associated with a second data store, and the second data store is associated with second storage characteristics differing at least in part from the first storage characteristics. The translated access request is sent to the second data store. The translated access request is performed by the second data store on the data set using emulation of one or more of the first storage characteristics not included in the second storage characteristics.

Abstract: Systems, methods, and computer-readable media for monitoring a computer network for threats using OLAP cubes are disclosed. In one embodiment, a method of monitoring a computer network for threats includes receiving, from a plurality of computing devices on the network, dataset data, asset data, and temporal data, and storing, in an online analytical processing cube for each computing device of the plurality of computing devices, the dataset data within a dataset dimension, the asset data within an asset dimension, and the temporal data within a temporal dimension. The method further includes searching one or more online analytical processing cubes for correlated data within two or more of the dataset dimension, the asset dimension, and the temporal dimension satisfying an alert metric, and issuing an alert when correlated data satisfies the alert metric.