Abstract: A method for creating a database for a domain specific application includes providing a centralized data repository comprising data from different sources, identifying a set of data units of the repository that represent a specific domain, determining a pivotal entity type for an application, determining a mapping between different identifiers of the pivotal entity type, creating a reference set by selecting a first subset of the set of data units using the mapping, wherein the first subset represents the pivotal entity type, selecting, based at least in part on the mapping, a second subset of the set of data units, wherein the second subset represents non-pivotal entity types which are related to instances of the pivotal entity type in the reference set; and creating a database from data units and associated attributes selected from the reference set of data units and the second subset of data units.

Abstract: A method is provided for output validation of data processing systems, performed by one or more processors. The method comprises performing a data comparison between a first data table and a second data table to determine a data differentiating table, wherein the first data table is based on an output of a first data pipeline, and wherein the second data table is based on an output of a second data pipeline; performing a schema comparison between the first data table and the second data table to determine a schema differentiating table; generating a first output validation score based on the data differentiating table; generating a second output validation score based on the schema differentiating table; and generating a summary comprising both the first and second output validation scores.

Abstract: In some implementations, a system may obtain, from a first data repository, a first dataset that includes event data associated with a generic schema. The system may infer an event-specific schema that defines an organizational structure for the event data based on common attributes identified among a plurality of events included in the event data using one or more data analytics functions. The system may store, in a second data repository, a second dataset in which the event data is partitioned based on the organizational structure defined by the event-specific schema. The system may generate a third dataset that includes a subset of the event data included in the second dataset that satisfies one or more registration parameters related to an extract, transform, load (ETL) use case. The system may provide the third dataset to an ETL system configured to process the third dataset based on the ETL use case.

Abstract: Systems and methods are provided for context-aware maintenance window identification. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: estimate a completion time of a maintenance operation; predict future usage of the IHS; identify a time window for the maintenance operation based upon the estimation and the prediction.

Abstract: Querying of time-aware metrics time series includes receiving a query, the query comprising a set of query metadata and a query time range. It further includes, based at least in part on the set of query metadata and the query time range, selecting a time series from a plurality of metrics time series. Each metrics time series in the plurality of metrics time series is associated with a set of metadata and an active interval of time. A set of metadata associated with the selected time series matches the set of query metadata, and an active interval of time associated with the selected metrics time series intersects with the query time range. The selected metrics time series is returned.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive structural analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive structural analysis using at least one of table column classification machine learning models, table column clustering machine learning models, structural variance generation machine learning models, and emergence report generation machine learning models.

Abstract: The present inventors devised, among other things, an application development system and method. One exemplary method entails providing a set of legal research application feature or functions and receiving a first configuration file from a user, selectively enabling or disabling one or more of the features to define a first legal research application on a first server for a first country. The method further entails receiving a second configuration file from a user, which similarly selectively enables of disables one or more of the features to define a second legal research application on a second server for a second country. The configuration files also customize the user interfaces accord to brand specific criteria for each of the countries.

Abstract: Systems and methods are provided for automating the process of mapping repair documents, published by Original Equipment Manufacturers (OEMs), to repair information provided in a repair estimate record. A baseline set of repair estimate records specifying one or more parts of a baseline vehicle and an associated set of repair documents specifying instructions for repairing the one or more parts of the baseline vehicle may be saved using a data categorization model in a mapping dataset. The repair documents associated with baseline set of repair estimate records which have been saved in the mapping dataset may then be used to automatically determine associations between another set of repair estimate records and corresponding repair documents.

Abstract: This disclosure relates generally to a method and a system for profiling of metagenome samples. Most state of-art techniques for metagenomic profiling use homology-based, curated database of identified marker sequences generated after complex and costly pre-processing. The disclosed method and system for profiling of metagenome samples are a non-homology based, a non-marker based and an alignment free strain level profiling tools for microbe profiling. The disclosure works with a several k-mer based indexing techniques for constructing a compact and comprehensive multi-level indexing, wherein the multi-level indexing includes a L1-Index and a L2-Index. The multi-level indexing is used for profiling metagenomics by abundance estimation, wherein the abundance estimation includes a relative abundance and an absolute abundance.

Abstract: Disclosed herein are an apparatus and method for providing a search service based on important sentences. The apparatus for providing a search service based on important sentences includes memory in which at least one program and a previously trained word importance measurement model are recorded and a processor for executing the program. The program may include a word importance measurement unit for measuring the importance of each of multiple words included in input text in the corresponding input text based on the word importance measurement model and a sentence importance measurement unit for measuring the importance of each of at least one sentence included in the text based on the measured importance of each of the multiple words.

Abstract: Techniques for recommending side-by-side plantings of pairs of seeds include a server computer receiving agricultural data records that represent crop seed data describing seed and yield properties of seeds and first data for agricultural fields where the seeds were planted. The server receives second data for available seeds and automatically calculates a dataset of success probability scores that describe the probability of a successful yield on the target fields. Data is organized as pairs to facilitate comparison of actual plantings to optimized plantings that have a probability of success (POS), in terms of yield lift or increased yield season-over-season, for different yield values. Confidence values are generated and stored in association with the POS values and can be used as a basis of visual output to support planting and/or field management decisions as part of an automated intelligent agricultural decision support system.

Abstract: A system, for example, a multi-tenant system performs upgrades of database management systems deployed on a cloud platform. The database management system is stored on the cloud platform in a data storage unit for storing data of the database, and an instructions storage unit for storing executable instructions. A cloud platform image comprising instructions for the database management system is received. A cloud platform image is deployed on a new instructions storage unit. An upgraded database management system is built by providing the new instructions storage unit with access to the data storage unit. In an embodiment, the database management system is used by a multi-tenant system and stores a multi-tenant schema. The structure of the multi-tenant schema is defined using a multi-tenant schema template that is included in the instructions storage unit.

Abstract: A method comprising receiving by an arbitrary query engine a user request to perform a query associated with user data including first data and second data; partitioning the query into first and second sub-queries; providing the first sub-query to a first service provider interface (SPI) integrated into a first service configured to operate on the first data in a first datastore, the first SPI including a common interface component configured based on a uniform access specification to facilitate external communication between the arbitrary query engine and the first SPI, and the first SPI including a first service interface component configured to transform between the uniform access specification and a first service data specification and to facilitate internal data management; obtaining from the first datastore the first data formatted according to the first service data specification; transforming the first data; and providing the transformed first data to the arbitrary query engine.

Abstract: Systems and methods for learning and applying a rule set from relational data include receiving a graph representing relational data, wherein nodes represent elements of the graph, and edges represent relationships between nodes, generating an intermediate representation of the graph by mapping features of the nodes and edges of the graph to an intermediate vector representation, wherein the intermediate vector representation contains binary values and/or probabilistic values, learning logical rules that define the nodes and edges of the graph based on the intermediate vector representation r by: defining a maximum satisfiability (MAX-SAT) problem for the graph; and estimating a gradient around a solution of the MAX-SAT problem for the graph to produce the logical rules; and applying the logical rules to a new graph.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable storage media for managing content across discrete systems. A content management system can be implemented to manage content items and synchronize content items across devices. A content collaboration system can be implemented to generate documents and facilitate collaboration on documents. To take advantage of the content management system's functionality to manage and synchronize content items while also providing the collaboration functionality of the content collaboration system, the content management system can store and manage references to documents created in the content collaboration system. The document references can be managed by the content management system such that the document references appear to users as if the document references were the referenced document in the collaboration system.

Abstract: A search system performs item searches using morphed images. Given two or more input images of objects, the search system uses a generative model to generate one or more morphed images. Each morphed image shows an object of the object type of the input images. Additionally, the object in each morphed image combines visual characteristics of the objects in the input images. The morphed images may be presented to a user, who may select a particular morphed image for searching. A search is performed using a morphed image to identify items that are visually similar to the object in the morphed image. Search results for the items identified from the search are returned for presentation.

Abstract: A method, system, and computer program product for predicting abnormal operation of at least one component of a machine is provided. Real time monitoring data from an operating machine is received and monitoring features that are informative of likely abnormal operation are extracted and/or calculated. The monitoring features are applied to a prediction matrix that outputs probabilities of abnormal operation within one or more prediction time horizons. If the output probabilities exceed a threshold probability, then an alert can be output. Maintenance can be automatically scheduled in response to the alert.

Abstract: A system and method are disclosed associated with a cloud platform as a service provider. A monitoring agent, associated with a database service instance running on a client database virtual machine, periodically executes a performance throttling detection engine. The performance throttling detection engine gathers database statistics based on metrics and features of the database service using a rule-based approach. When it is determined that a pre-determined condition is met, the system may transmit the gathered database statistics to an external application. For example, the external application might comprise a database tuning service and the pre-determined condition may be associated with a decision that the database service may potentially need to tune knob configuration parameters (associated with memory knobs, background writer knobs, asynchronous knobs, etc.).

Abstract: Efficient uniques querying is disclosed, including: receiving a search query for a number of unique audience members across a plurality of groups of audience members; obtaining a plurality of sets of representations corresponding to respective ones of the plurality of groups of audience members; selecting at least a subset from each of the plurality of sets of representations; merging the selected at least subsets of the plurality of sets of representations into a merged set of representations; determining the number of unique audience members across the plurality of groups of audience members based at least in part on the merged set of representations; and outputting the number of unique audience members across the plurality of groups of audience members.

Abstract: The present disclosure includes systems and techniques relating to ranking search results of a search query. In general, the subject matter described in this specification can be embodied in a computer-implemented method that includes determining a measure of relevance for a document result within a context of a search query for which the document result is returned, the determining being based on a first number in relation to a second number, the first number corresponding to longer views of the document result, and the second number corresponding to at least shorter views of the document result; and outputting the measure of relevance to a ranking engine for ranking of search results, including the document result, for a new search corresponding to the search query. The subject matter described in this specification can also be embodied in various corresponding computer program products, apparatus and systems.