Abstract: Systems and methods are described for training an artificial intelligence model to extract one or more data fields from a log. For example, the artificial intelligence model may be a neural network. The neural network may be trained using training data obtained by iterating through a plurality of logs using active learning, and selecting a subset of the logs in the plurality to be labeled by a user. For example, the selected subset of logs may be logs that are not similar to other logs already labeled by a user. The user may be prompted to label the selected subset of logs to identify one or more data fields to extract. Once the selected subset of logs are labeled, these labeled logs can be used as the training data to train the neural network.

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: Systems and methods include obtaining statistics based on monitoring in a cloud-based system for a given time period; and, responsive to determining an arrangement of counters for N counters, storing each of M counters for the given time period as a plurality of records with each record including a record type, a possible offset to a next record in terms of a counter identifier (ID), and a counter value, wherein N and M are integers and M<<N, and wherein the arrangement is determined such that most frequently used counters occupy lower counter IDs. The systems and methods can further include updating the arrangement of the counters for the N counters, to perform an optimization such that the most frequently used counters occupy lower counter IDs.

Abstract: A tree structure represents a terrain area as nested polygons organized in a parent-child relationship, each polygon associated to a specific geographic location. The tree structure defines at least one parent node and a plurality of child nodes, some being leaf nodes containing a height value. A processor uses a distance measure to change the tree structure topology assessing whether all leaf node children of a first parent node lie outside a predetermined distance from an aircraft runway, and if so, converting the first parent node into a leaf node by storing in the first parent node a height value representing the greatest of the respective height values of the leaf node children and by removing the leaf node children; and iteratively repeating for each remaining parent node until it has been determined that every remaining parent node in the data structure cannot be pruned without violating accuracy requirements.

Abstract: Providing a crowdsourced refinement of a response to a network query can include detecting an insufficient answer to a query posed by a user seeking information from a plurality of networked sources communicatively coupled with an electronic communications network. Demographic data corresponding to the user can be determined and a search initiated. The search is for a crowdsourced response to the query posed by the user. The search can be conducted over the electronic communications network and can be based on the demographic data corresponding to the user.

Abstract: Provided is a method and system for normalizing catalog item data to create higher quality search results. In one example, the method may include receiving a record comprising an unstructured description of an object, identifying a type of the object from among a plurality of object types and identifying a predefined attribute of the identified type of object, extracting a value from the unstructured description corresponding to the predefined attribute and modifying the extracted value to generate a normalized attribute value, and storing a structured record of the object in a structured format comprising a plurality of values of a plurality of attributes of the object from the unstructured description including the normalized attribute value for the predefined attribute of the object.

Abstract: A database system may include a machine learning model which may be used to perform various data analytics for data stored in the database system. In response to a request to invoke the machine learning model to generate a prediction from data stored in the database system, the database system may perform one or more optimization operations, as part of a query plan, to prepare the data to make it suitable for use by the machine learning model.

Abstract: In some examples, before saving a file, a device analyzes contents (e.g., text and images) of the file to create a bag of words. The device performs Latent Dirichlet Allocation of the bag of words to determine topics included in the file and orders the topics in descending order of frequency. The device generates a particular name of the file based on the ordered topics and automatically save (or suggest saving) the file with the particular name. The device determines, based on the ordered topics, a folder name of a folder in which to store the file. If an existing folder has the folder name, then the device saves the file in the existing folder. If not, then the device creates a new folder with the folder name and saves the file in the new folder.

Abstract: A method for storage management of an object among a plurality of storage devices of a datacenter is provided. The method, in response to receiving an input on a selection item presented through a UI, determines that a manual storage management of an object is selected. The method then receives a storage policy for storing the object. Based on the storage policy, the method defines a plurality of components for the object and determines whether a set of one or more storage resources is available for storing the plurality of components. When the method determines that the set is available, for each component, the method presents the set of storage resources, receives a selection of a storage resource in the set to store the component, and updates the set based on the policy and the selection before presenting the updated set to select from for storing a next component.

Abstract: The present disclosure provides a connected car big data acquisition device, and connected car big data collecting system and method using the device. A connected car big data acquisition device includes: an interface configured to communicate with a device associated with a data production layer and a device associated with a service using layer; a storage configured to store data; and a controller configured to generate preprocessed data based on raw data related to connected cars received from a device associated with a data production layer through a preprocessing process using an integrated platform and to control the preprocessed data to be stored in the storage based on a memory availability ratio of the storage.

Abstract: An apparatus, method and system facilitate efficient creation of virtual places and provide tools for using the virtual places. The virtual places include a virtual real estate listing, newsworthy place and a virtual box seat. Tools are provided including an automatic declutter tool and a staging tool.

Abstract: Aspects of the present disclosure provide for operations of a key-value tree data structure that merges key-value pair data of a node, in a key-value tree data structure using counter values.

Abstract: A computer-implemented method for completing queries propagated across a plurality of datasources that may include receiving a search query comprising a search string via an application user interface. Identity information regarding an end user associated with the search query may also be received. At least one role of the end user may be automatically determined and authorization metadata corresponding to the at least one role may be automatically appended to the search query. A plurality of adapters corresponding to the datasources may be invoked and the appended search query may be passed to the adapters. The appended search query may be translated by the adapters into a plurality of translated search queries according to the syntax and format configurations of the datasources. The translated search queries may be automatically submitted to the corresponding datasources. Responsive results may be automatically received and presented at an end user computing device.

Abstract: Systems and methods for improved data conversion and distribution are provided. A data subscription unit is configured to receive data and information from a plurality of data source devices. The data subscription unit is in communication with a virtual machine that includes backtesting utility configured to generate backtesting data using one or more statistical models and one or more non-statistical models. The backtesting utility may translate the backtesting results into one or more interactive visuals, and generate a graphical user interface (GUI) for displaying the backtesting results and the one or more interactive visuals on a user device. The backtesting utility may update one or more of the displayed backtesting results and the one or more interactive visuals without re-running the modeling steps.

Abstract: Techniques for generated regular expressions are disclosed. In some embodiments, a regular expression generator may receive input data comprising one or more character sequences. The regular expression generator may convert character sequences into a sets of regular expression codes and/or span data structures. The regular expression generator may identify a longest common subsequence shared by the sets of regular expression codes and/or spans, and may generate a regular expression based upon the longest common subsequence. Alignment of span data structures may be performed when generating the regular expression.

Abstract: In a system for storing in memory a tensor that includes at least three modes, elements of the tensor are stored in a mode-based order for improving locality of references when the elements are accessed during an operation on the tensor. To facilitate efficient data reuse in a tensor transform that includes several iterations, on a tensor that includes at least three modes, a system performs a first iteration that includes a first operation on the tensor to obtain a first intermediate result, and the first intermediate result includes a first intermediate-tensor. The first intermediate result is stored in memory, and a second iteration is performed in which a second operation on the first intermediate result accessed from the memory is performed, so as to avoid a third operation, that would be required if the first intermediate result were not accessed from the memory.

Abstract: Embodiments of the invention utilize a “data canopy” that breaks statistical measures down to basic primitives for various data portions and stores the basic aggregates in a library within an in-memory data structure. When a queried statistical measure involves a basic aggregate stored in the library over a data portion that at least partially overlaps the data portion associated with the basic aggregate, the basic aggregate may be reused in the statistical computation of the queried measure.

Abstract: A method and system for providing on-demand updating of metadata information associated with clinical image data files is disclosed. The system allows for extracting, on the fly, additional metadata fields from clinical image data files and re-indexing the metadata to include the additional fields so that an end-user can perform operations (e.g., searching, browsing, etc.) based on the newly indexed fields. The metadata fields may be defined in a configurable schema file (e.g., XML, YML, etc.). The system can gain efficiencies by, for example, reading only a subset of the DICOM file (e.g., reading only the first few kilobytes that contain the header), scanning only a subset of source data folders, etc.

Abstract: In some embodiments, a hierarchical tree may include nodes that each indicates an objective, and each non-root node of the nodes indicates an objective supporting an objective of at least one node with which the non-root node has a direct relationship. Based on a modification to an objective of a given node of the tree, a determination of whether at least one child node of the given node indicates an unsatisfiable objective (e.g., no longer suitably supporting the given node's objective). For a child node of the given node determined to indicate an unsatisfiable objective, a corresponding subset of the tree may be replaced with replacement nodes that each indicates a satisfiable objective (e.g., suitably supporting the given node's objective), where the corresponding subset includes (i) the child node and (ii) descendant nodes of the child node.

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.