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: 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: 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: An information processing device includes a memory, and a processor coupled to the memory and configured to acquire a plurality of data from first databases, where the data are stored in the first databases in a first period, and identifiers are stored in the first databases in association with the data, where the first databases correspond to servers that perform manipulations on a plurality of records containing the data stored in a second database, and the identifiers indicate order of the manipulations, and store the data in a third database in order indicated by the identifiers.

Abstract: A computer-implemented method of mapping attribute names of a source data model to a destination data model includes obtaining multiple source attribute names from the source data model, and obtaining multiple destination attribute names from the destination data model. The destination data model includes multiple attributes that correspond to attributes in the source data model having different attribute names. The method includes processing the obtained source attribute names and the obtained destination attribute names to standardize the attribute names according to specified character formatting, supplying the standardized attribute names to a machine learning network model to predict a mapping of each source attribute name to a corresponding one of the destination attribute names, and outputting, according to mapping results of the machine learning network model, an attribute mapping table indicating the predicted destination attribute name corresponding to each source attribute name.

Abstract: A method and system generates a model of a geographic area for use in identifying locations of the geographic area. A set of variably sized tiles is defined for each of a set of overlapping geometries in the geographic area. Each of the variably sized tiles is defined by a geohash, where the size of the tile is dependent on a granularity of the geohash. A geocode trie structure representing the variably sized tiles can be constructed and used to map one or more provided location coordinates to at least one of the geometries represented by the tiles.

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 growing amount of communication data generated by inmates in controlled environments makes a timely and effective investigation and analysis more and more difficult. The present disclosure provides details of a system and method to investigate and analyze the communication data in a correctional facility timely and effectively. Such a system receives both real time communication data and recorded communication data, processes and investigates the data automatically, and stores the received communication data and processed communication data in a unified data server. Such a system enables a reviewer to review, modify and insert markers and comments for the communication data. Such a system further enables the reviewer to search the communication data and create scheduled search reports.

Abstract: A computer-implemented method includes searching, by machine learning logic of a computer, a flight schedule database for one or more flight schedule records related to flight preference information specified by a user. The machine learning logic is trained with training data that includes flight schedules selected by passengers and flight preference information associated with the passengers. The method further includes responsive to locating the one or more flight schedule records, communicating, by the computer, flight schedules associated with the one or more flight schedule records to a terminal associated with the user. The method includes receiving, from the terminal, a booking indication associated with a particular flight schedule of the flight schedules and updating the training data to associate the particular flight schedule with the flight preference information specified by the user.

Abstract: System and methods are described for creating an instance of a database in a cloud computing environment. One method includes receiving a request to deploy an instance of a database in a cloud computing environment, the request including a database deployment model defining deployment of the database instance, building a deployment model decision tree based on the database deployment model, and initializing a cloud deployment strategy using the database deployment model for enabling one or more cloud service providers of the cloud computing environment to deploy the database instance. The method further includes provisioning cloud computing resources for the database instance according to the cloud deployment strategy, initializing sets of services for the database instance according to the deployment model decision tree, creating the database instance, and indicating the database instance as active in the cloud computing environment.

Abstract: A method and system for migrating data and metadata from a first backup system to a second backup system via a content 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 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: Techniques are provided for utilizing a log to free pages from persistent memory. A log is maintained to comprise a list of page block numbers of pages within persistent memory of a node to free. A page block number, of a page, within the log is identified for processing. A reference count, corresponding to a number of references to the page block number, is identified. In response to the reference count being greater than 1, the reference count is decremented and the page block number is removed from the log. In response to the reference count being 1, the page is freed from the persistent memory and the page block number is removed from the log.

Abstract: Disclosed herein is a process that involves retrieving a data model for a data source, establishing at least one filter operation or at least one clean operation that modifies an aspect of the retrieved data model, onboarding underlying data from the data source while applying the established at least one filter operation or at least one clean operation, defining at least one transformation operation to apply to a portion of the underlying data that has been onboarded, and applying the at least one transformation operation to the portion of the underlying data to thereby assign the data to a semantic network, the semantic network comprising conceptual data components and associative data components.

Abstract: In an approach for database index optimization, a processor detects a pattern of characters and numeric digits of an index key. The index key provides an access to a database through an index access without a sorting operation. A processor determines a converting format based on the pattern of the index key. The pattern includes a string of the numeric digits. A processor converts the index key into a converted key by converting the string of the numeric digits into an integer. A processor saves the converted key into a storage.

Abstract: According to some embodiments, systems and methods are provided, comprising a data uniformity framework module; a data uniformity framework processor in communication with the data uniformity framework module and operative to execute processor-executable process steps to cause the system to: receive an indication that an action event was executed at a primary application; extract one or one or more key data elements affected by the execution of the action event; log the extracted one or more key data elements in a notification log; receive a request from a secondary application for the logged data; transmit the logged data to the secondary application; and manipulate secondary application data that corresponds to the logged data to replace the secondary application data with the logged data. Numerous other aspects are provided.