Abstract: A big data processing method based on direct computation of compressed data. The method includes 1) compressing, based on a modified Sequitur compression method, original input data according to a smallest compression granularity given by an user, and transforming them into a directed acyclic graph, DAG, consisting of digits; and 2) determining an optimal traversal pattern, and performing a top-downward traversal or a bottom-upward traversal on the DAG in the step 1) based on the determined optimal traversal pattern so as to enable direct processing of the compressed data. By providing a modified Sequitur algorithm and top-downward and bottom-upward traversal strategies in the disclosure, direct processing of compressed data is enabled, significant improvement in time and space has been gained with broad applicability, and certain representations with respect to more advanced document analytics can still be derived on the basis of these.

Abstract: System and methods are described for a server computing node including a processing device and a memory device. The processing device executes instructions stored in the memory device to receive a request to update a data object in a shared storage of a distributed computing system; get a current version identifier (ID) of the data object; get the data object identified by the current version ID from the shared storage; update the data object; write the updated data object to shared storage using a unique new version ID; and cause the conditional update of the current version ID of the data object to the new version ID.

Abstract: Devices and techniques are generally described for generating personalized search query suggestions. In some examples, a first search query entered by a user into a search field may be determined. A first keyword associated with the first search query may be determined based at least in part on past interactions of the user with content. In various examples, first string data comprising at least a portion of the first search query and the first keyword may be generated. A data store may be searched using the first string data. A first suggested search string associated with the first string data may be determined. In some examples, the first suggested search string may be displayed on a display in association with the search field.

Abstract: A method of obtaining a response to a query inputted by a user, the method comprising: receiving a user inputted query; representing the user inputted query as a sequence of embedding vectors using a first model; encoding the sequence of embedding vectors to produce a context vector using a second model; retrieving responses with associated response vectors; scoring response vectors against the context vector, wherein the scoring is a measure of the similarity between the context vector and a response vector; and outputting the responses with the closest response vectors, wherein the first model is configured to segment a user inputted query into a sequence of units from a vocabulary of units and represent each unit in the sequence as an embedding vector, wherein at least one of the units in the vocabulary is an incomplete word, and wherein the first model comprises parameters that are stored using eight bits per parameter; and wherein the second model has been trained using corresponding queries and response

Abstract: A system and method for providing a secure and auditable means for exchanging files related to 3D objects intended for replication is provided. A secure system and method to facilitate the acquisition of files (such as 3D design files) that can involve intellectual property rights management, standard of quality assurance for 3D printed objects, warranty protection for the printed object, and audit and report tools for the results of a 3D replication.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for transition-coded media, measuring engagement of transition-coded media, and distribution of components of transition-coded media. For instance, the method may include: obtaining a media file; determining whether the media file includes transition-coded media; in response to determining the media file includes the transition-coded media, setting up a dynamic media environment; detecting whether a user is interacting with the transition-coded media; and in response to detecting the user is interacting with the transition-coded media, executing the transition-coded media with the dynamic media environment.

Abstract: In some embodiments, a method includes extracting metadata of a set of assets and providing the metadata to a machine learning model to define a tree data structure including a leader subtree and a follower subtree that is dependent upon a portion of a hierarchical classification structure of the leader subtree. The method further includes matching the metadata to attributes assigned to classification nodes within the tree data structure to map the set of assets into data nodes of the tree data structure. The method further includes parsing a query to traverse the tree data structure to locate an asset based at least in part on the query attribute and at least one of the attributes assigned to the classification nodes, and, after and/or in response to parsing the query, sending a signal representing the asset and/or a location of the asset.

Abstract: A partial group by operator is a group by operator that implements a fallback mechanism. The fallback mechanism is triggered whenever memory pressure reaches a certain threshold. When the fallback mechanism is triggered, a row is included in an output of the partial group by operator without including an aggregation value for a grouping value for the row to an aggregation data structure. A final group by operator computes a final aggregate value of all results, including pre-grouped results and passed through results, from the partial group by operator.

Abstract: Systems and methods for classifying job search queries for improved precision using a machine-trained classifier are provided. In example embodiments, a network system receives a job search query including one or more terms from a device of a user. The network system extracts one or more features from the job search query, whereby the one or more features are derived from the one or more terms. Based on the one or more features, a machine-learned model of the classifier determines whether to use a title field search process or a compound search process. Based on the determining, the network system formats the job search query into a corresponding machine-language format and performs the job search query to derive results. The network system causes presentation of the results on the device of the user.

Abstract: Various embodiments are provided for intelligent management of data flows in a computing environment by a processor. One or more data transformation in time-series data applications templates may be created and managed according to concepts, one or more instances of the concepts, relationships between the concepts, and a mapping of the concepts to one or more data sources.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate answering questions that involve mathematical computations are provided. In one embodiment, a computer-implemented method comprises: transforming, by a system operatively coupled to a processor, a natural language query into a first logical representation and extrinsic knowledge into a second logical representation relevant to the natural language query; merging, by the system, the first logical representation and the second logical representation into a third logical representation; and generating, by the system, answers for the natural language query based on processing of the third logical representation.

Abstract: An example operation may include one or more of storing existing chaincode relationships of a group of blockchain peers within a blockchain network, identifying a new chaincode to implement for one or more blockchain peers among the group of blockchain peers of the blockchain network based on the existing chaincode relationships among the group of blockchain peers, and transmitting a message to the one or more blockchain peers with a suggestion to implement the new chaincode.

Abstract: Embodiments relate to a system, computer program product, and method to merge two or more heterogeneous datasets. Seed attributes of each dataset that is the subject of the merge are identified. The seed attributes are derived from candidate attributes of the respective datasets. A correlation is assessed to create a set of mergeable attributes and a set of non-mergeable attributes. A cohesiveness characteristic is leveraged to iteratively identify one or more attributes from the set of non-mergeable attributes, and to amend the set of mergeable attributes with the one or more attributes identified in the set of non-mergeable attributes. A merged dataset based on the amended set of mergeable attributes and representing non-trivial similarities between the first and second dataset is formed as output.

Abstract: An electronic device, including a compression subsystem with a comparator, a history buffer, a match detector, and a command generator, performs operations for generating compressed data from original data. The compression subsystem, starting in each cycle of a clock, processes a search string that is copied from original data to generate commands for compressed data. For processing each search string, the comparator compares each of N substrings from the search string with stored data from the history buffer to find matches between the substrings and the stored data. The match detector then determines a longest match for each of the substrings. The command generator next selectively outputs commands for the compressed data based on the longest matches for the substrings.

Abstract: A method and system for live-mounting database backups. Specifically, disclosed method and system entail recovering database data—in entirety or at any granular level—without needing to provision storage resources for point-in-time database copies (i.e., backup database data), or without needing to wait for large amounts of data, representative of the point-in-time database copies, to traverse a network from backup storage to a target device. Substantively, through live-mounting, the physical point-in-time database data, as well as the associated structural metadata, may be retained on backup storage while a pointer-based snapshot, mapping to the physical point-in-time database data and structural metadata, may be generated thereon. Thereafter, a file system—mapping to the pointer-based snapshot on the backup storage—may be mounted on the target device, which exposes an interface through which the backup database data may be accessed and/or manipulated using a distributed file system protocol.

Abstract: Embodiments disclosed include a platform for collecting, normalizing, aggregating, and presenting/processing data over a wide range of devices, machines and applications in real-time, in a wired or wireless networked framework. An embodiment includes a computer automated system and method for aggregating data from a plurality of devices and applications. Embodiments disclosed further include a system and method for normalizing data from a plurality of devices and applications, for canonical-izing all normalized and aggregated data, and via a graphical user interface, combining the aggregated and normalized data, and displaying the combined data in a display compatible format. The computer system is further configured to abstract a plurality of classes of devices via a data modeling language comprised in the configuration of the computer system.

Abstract: The disclosure discloses a method for analyzing educational big data on the basis of maps. The method includes acquiring educational resource data and storing the educational resource data into databases according to certain data structures; constructing theme map layers for each analysis theme, classifying and indexing data according to the analysis themes, and superimposing the theme map layers onto base maps to form data maps; analyzing data of the theme map layers according to the analysis themes and acquiring theme analysis results; extracting the data of the multiple theme map layers in target regions, fusing the data and acquiring region analysis results; acquiring learning preference of users; combining the learning preference of the users according to content of user requests and searching the region analysis results in response to the user requests. The disclosure further discloses a system for analyzing the educational big data on the basis of the maps.

Abstract: Systems and methods related to the seamless integration of Content Management Interoperability Services (CMIS) client systems with native data models of repositories that may be utilized with such client systems are disclosed. In particular, certain embodiment of systems and methods for the integration of CMIS compliant client systems with CMIS compliant ECM systems by conforming CMIS secondary types utilized by CMIS clients to the native ECM artifacts utilized by the ECM system are disclosed.

Abstract: Aspects of the current subject matter are directed to executing queries on tables in which one or more columns contain a single value. Upon execution of a query, columns in which a single value is contained are identified, and a pre-compiled code entry containing relevant identifying information is compiled as part of a query execution plan. The query execution plan is used for subsequent query executions, alleviating the need to access the columns during the subsequent query executions that involve the columns. A fingerprint value may be used to track if changes to relevant tables occur.

Abstract: Embodiments implement a tool for interrogating heterogeneous computing systems. Environment variables of a computing device including at least an operating system can be detected. Script commands configured using the retrieved environment variables can be built, where the built script commands are customized based on the detected operating system. Structured query level commands configured to retrieve metadata about enterprise elements associated with the computing device can be built. The SQL commands and script commands can be sequentially executed on the computing device, where the execution of the SQL commands and script commands is customized to the computing device such that device specific database execution parameters and application execution parameters are returned. A structured language document organized according to the returned database execution parameters and application execution parameters can be generated.