Abstract: A method for selecting storage locations for storage of data. According to a placement policy, a file is stored in a database comprising a plurality of storage locations. The method includes determining a query for a copy comprising policy constraints in the placement policy and storage location constraints. The method includes extracting one or more data attributes of the file. The method includes determining an attribute set for each storage location including the data attributes and the storage location attributes for each storage location. The method includes identifying a set of one or more candidate storage locations for storage of the copy of the file by evaluating the attribute set for each storage location against the query. The method includes selecting a candidate storage location from the set and providing the copy of the file to the selected candidate storage location for storage.

Abstract: A method for dynamically creating and validating a predictive analytics model to transform data into actionable insights the method comprising: identifying an event, selectively tagging, based on analytics expertise, at least one time series data area (data area), where the identified event occurred, comparing data area where the identified event is tagged with the data area where the identified event is not tagged, building, based on analytics expertise, the predictive analytics model embodying the classification generated by selective tagging, displaying the visual indicia generated by executing the predictive analytics model, and validating the predictive model based on a feedback from at least one domain expert.

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: User interface responsiveness is improved using batch interface calls and response processing. To do this, a selection, via a user interface, is obtained of nodes of a hierarchy corresponding to a hierarchical data structure containing information to be presented in the user interface based on the selection. A separate request is sent to a database to obtain information corresponding to each of the nodes. Responses corresponding to a particular request are received from the database. Each response is processed to obtain parsed data in separate threads such that the responses are executable in parallel. The processing of the responses outputs parsed data for the corresponding response. The parsed data is obtained and the parsed data for a particular response is incrementally presented in the user interface as it is obtained.

Abstract: An entity resolution data structure system compares two data graphs by creating a confusion matrix in a distributed processing environment. A benchmark file is created from one data graph for comparison to a reference data graph. Identifiers and metadata are appended to the benchmark file to allow the comparison to take place and the construction of a confusion matrix. The confusion matrix provides a high-level indication of the results of the comparison. When the data graphs contain personally identifiable information (Pll), the process does not require any Pll to be transmitted in either direction between the parties who maintain the data graphs to be compared.

Abstract: Disclosed herein are a network environment synchronization apparatus and method. The network environment synchronization apparatus includes one or more processors, and execution memory for storing at least one program that is executed by the one or more processors, wherein the at least one program is configured to collect data from a network environment and generate a management structure in which collected data is distributed into preset respective group units, generate data discriminators for respective group units using a preset hash function, determine whether data of the management structure has changed with reference to data newly collected from the network environment based on the data discriminators, and when it is determined whether data of the management structure has changed, update the data of the management structure with the newly collected data.

Abstract: The present disclosure is directed to systems and methods for providing a stable topological representation of pathway networks as well as features associated with these networks. The disclosure is exemplified using road networks which have applications in mapping, navigation, and autonomous vehicles. Extensions may be learned through practice of the disclosure. Utilizing implementations disclosed herein may provide advantages for data conflation between different mapping systems and map data while improving overall stability by developing a common reference standard that is tied to semantic features rather than abstract geographic representations.

Abstract: The present disclosure involves systems, software, and computer implemented methods for accessing an object store. One example method includes providing a persistency factory object configured to provide access to multiple types of persistency adapters. Each type of persistency adapter is configured to interface with a particular object store. A persistency adapter request is received from a consumer. A type of adapter to provide is determined. A determination is made that the consumer is configured to interface with a first object store and that a first persistency adapter class is associated with the first object store. A run-time reference to an instance of the first persistency adapter class is provided to the consumer. A first object store operation request to perform a first object store operation is received. The instance of the first persistency adapter class interfaces with the first object store to fulfill the first object store operation request.

Abstract: Systems and methods for lifelong schema matching are described. The systems and methods include receiving data comprising a plurality of information categories, classifying each information category according to a schema comprising a plurality of classes, wherein the classification is performed by a neural network classifier trained based on a lifelong learning technique using a plurality of exemplar training sets, wherein each of the exemplar training sets includes a plurality of examples corresponding to one of the classes, and wherein the examples are selected based on a metric indicating how well each of the examples represents the corresponding class, and adding the data to a database based on the classification, wherein the database is organized according to the schema.

Abstract: A method and system for migrating data and metadata from a first backup system to a second backup system via a staging system is disclosed. The system accesses the backup data from the first backup system and restores it, along with the associated metadata, to a staging system. A metadata file is created at the staging system which comprises of the metadata that is to be migrated to the second backup system. The system then migrates the data from the staging system to the second backup system. The metadata is also migrated to the second backup system in a format such that it can be indexed. As a result, the migrated data can be browsed and searched based on one or more search criteria based on the associated metadata. Other details are provided herein.

Abstract: A computer-implemented method of mapping attribute names of a source data model to a destination data model includes processing one or more source attribute names from the source data model and one or more destination attribute names of the destination data model to obtain standardized attribute names. The method includes determining whether any of the source attribute names have an existing entry in a custom dictionary. The method includes, for each source attribute name that has an existing entry in the custom dictionary, recording an output mapping for the source attribute name according to the existing entry in the custom dictionary. The method includes, for each source attribute name that does not have an existing entry in the custom dictionary, using a machine learning model to predict the mapping of each source attribute name to a corresponding one of the destination attribute names.

Abstract: Provided are a computer program product, system, and method for recovering from a pending uncompleted reorganization of a data set managing data sets in a storage. In response an initiation of an operation to access a data set, an operation is initiated to complete a pending uncompleted reorganization of the data set in response to the data set being in a pending uncompleted reorganization state and no other process currently accessing the data set.

Abstract: In an embodiment, a query system sends compact code to a database service for expansion of the compact code to partially-expanded code and expanded code. In an embodiment, a hash value is generated based on the partially-expanded code and indexed in memory with the expanded code. In an embodiment, a hash value is received as part of a command and expanded code is identified based on the hash value and sent to a database service.

Abstract: A computing system generates a default view of content items associated with a user account. The default view is representative of an underlying hierarchical structure of the content items associated with the user account. The computing system receives a request to transition from the default view to a modified view of the content items. The computing system ranks the content items based on a predicted likelihood of the user interacting with the particular content item. The computing system identifies the subset of content items for the modified view based on the ranking. The computing system generates the modified view based on the identified subset of the content items. The modified view maintains the underlying hierarchical structure of the content items associated with the user account. The computing system provides the modified view to the user associated with the user account for display.

Abstract: The disclosed embodiments include computerized methods, systems, and devices, including computer programs encoded on a computer storage medium, for generating terms of a search query based on a user's spoken utterances, identifying multiple cross-platform messages based on the generated terms, and to generating, via a presentation device, a single interface that enables the user to interact with identified messages. Based on a spoken utterance, the disclosed embodiments may determine user-specified search terms and/or criteria, and based on the user-specified search terms and/or criteria, may obtain cross-platform message data that corresponds to the search query. The communications device may generate one or more interface elements that describe corresponding ones of the cross-platform messages, which may be presented within a unified graphical user interface or voice-user interface by a communications device.

Abstract: The present disclosure relates generally to systems, methods, and computer-readable media for selectively identifying candidate keywords for a target domain, generating keyword clusters based on the candidate keywords, and implementing the candidate keywords within published online content. In particular, systems disclosed herein generate or otherwise obtain access to a collection of keywords and value metrics descriptive of a profile of the keywords with respect to a target domain. The systems can selectively identify candidate keywords having unique value to a domain and generate keyword clusters including the keywords and associated terms. The systems described herein can further implement the keyword clusters within a structure of published content items that are linked or otherwise associated with the target domain.

Abstract: A method for managing a full backup includes: generating a BBB of a file system, in which the BBB is a full backup of the file system and is generated using a snapshot of the file system; obtaining, using a MBB mechanism, modified file system metadata from the snapshot; obtaining second modified file system metadata from a second snapshot of the file system, in which the snapshot is generated at a first point in time and the second snapshot is generated at a second point in time; comparing the modified file system metadata and the second modified file system metadata to obtain a list of changed assets; initiating an incremental backup of the list of changed assets, in which the list of changed assets is backed up using a FBB mechanism; and generating a synthetic full backup by combining the full backup and the incremental backup.

Abstract: Provided is an unbalanced sample data preprocessing method, which includes: a data acquisition request is received and initial data is acquired according to the data acquisition request, and the initial data is classified according to a preset classification rule to obtain first-class sample sets and second-class sample sets; characteristics of K first sample points extracted are analyzed to obtain a new data characteristic of the first-class sample sets; a new data label of the first-class sample sets is generated according to a first label corresponding to the first-class sample sets; a ratio between the number of first-class sample sets and the number of second-class sample sets is calculated; and new data of the first-class sample sets is generated according to the new data characteristic and the new data label, and the amount of new data is adjusted according to the ratio to increase the number of first-class sample sets.

Abstract: A storage device includes: a non-volatile memory including a first memory area and a second memory area, and a memory controller configured to receive a request from a first client device to upload a first multimedia file, generate a second multimedia file including a base layer and at least one enhancement layer by transcoding the first multimedia file from an original format to a scalable format, and control the non-volatile memory to store the second multimedia file in the non-volatile memory.

Abstract: Embodiments of the present disclosure relate generally to systems for presenting content suggestions within a messaging interface. A content suggestion system performs operations that include: receiving inputs that include a text string into a messaging interface; parsing a keyword from the text string of the input in response to receiving the inputs; retrieving message content that includes at least a media item based on the keyword; and presenting a chat suggestion that includes the message content within the messaging interface, according to certain example embodiments.