Abstract: In an illustrative embodiment, an automated system determines similarities between properties at a location using customized features sets. The system can generate feature sets for properties from property attribute data received from external and internal sources. The system can transform one or more elements of attribute data of combined internal and external data into customized property attributes that enhance property attribute comparisons. The combined attribute data can be applied to a machine learning algorithm that identifies a portion of the combined attribute data for using in property similarity calculations. Using the identified features, the system can calculate similarity scores identifying an amount of similarity between properties at the location and a property identified in a comparable property query, which can be output to an external device.

Abstract: A method of routing data that is part of a grid job. The method also includes receiving a data packet in a first computer environment. The method also includes determining whether the data packet is identified as part of the grid job. The method also includes routing the data packet that is identified as part of the grid job through at least one firewall to a second computer environment. The method also includes where the data packet that is identified as part of the grid job does not have a destination address.

Abstract: This disclosure relates to knowledge generation and implementation. A knowledge graph system comprises at least one processor, at least one database communicatively connected to the at least one processor, and a memory storing executable instructions. When executed, the instructions cause the at least one processor to aggregate, from the at least one database, entity data for a plurality of homes. Attribute information identifying geographic locations of the plurality of homes and relationships between pairs of the plurality of homes is extracted from the aggregated data. Knowledge graph data structures are populated with the extracted attribute information. A home knowledge graph is built, having nodes corresponding to the plurality of homes and edges corresponding to the identified relationships. A hierarchical cluster tree structure of the plurality of homes is outputted, wherein levels of the hierarchical cluster tree correspond to clusters of homes determined based in part on the knowledge graph edges.

Abstract: A system for automated generation of a schema based on a plurality of artifacts is provided. The system includes a centralized artifact repository storing the artifacts and metadata characterizing each artifact and a computing device. The computing device performs operations including receiving user input indicating an application container, obtaining, from the repository, the metadata for artifacts of the plurality of artifacts, providing, via the display, the metadata, receiving a user selection of an artifact of the plurality of artifacts for inclusion with the application container, storing the application container in association with the selected artifact in an application repository, receiving a schema request related to the application container, obtaining a schema format selection, based on the request, generating a schema based on the schema format selection, the application container, and the artifact associated with the application container, and providing the schema in the selected schema format.

Abstract: Systems, methods, and computer-readable media are disclosed for testing a software application. An exemplary method includes storing a control file identifying a test case for testing a software application. A first expected result may be extracted from a device storing expected results of the software application, the first expected result being identified by the control file. A first actual result may be extracted from a device storing actual results output by the software application, the first actual result being identified by the control file. The first expected result may be compared with the first actual result to determine whether the first actual result matches the first expected result. A result file indicating whether the test case passed or failed is generated, and the test case has passed when the first actual result matches the first expected result. The result file may be stored in a storage device.

Abstract: In an illustrative embodiment, an automated system determines rental income and location quality for geographic regions using customized data sets. The system can generate customized location feature sets for applying to trained location quality prediction models where the feature sets include hybrid features combining aspects of two or more items of the location feature data into a single hybrid feature and the geographic regions are sized to a predetermined granularity level. Each feature set associated with a geographic region can be applied to a machine learning data model trained to predict rental property income at the respective predefined region from the customized location feature sets. Using the output data from the machine learning data model, the system can calculate location metrics quantifying a rental property income and the location quality for the geographic region.

Abstract: Systems, methods, and computer program products are provided for directing cash flows associated with a mortgage-backed security to back other securities without collapsing the original mortgage-backed security. A mortgage-backed security /an/or a set of loans is analyzed to identify cash flows from mortgages having specific desirable characteristics, and the cash flows are directed to subgroups or pools that support new mortgage-backed securities. The new securities make the desirable cash flows available to an issuer or prospective investor without collapsing the original mortgage-backed security.

Abstract: Systems, methods, and non-transitory computer-readable storage media are provided. A central server receives collateral data and applies a set of collateral analysis rules thereto to identify a problem. The applying includes accessing, from a remote data source, supplemental data related to the collateral data, and detecting one or more differences exceeding discrepancy tolerances between the collateral data and the supplemental data. The central server generates a notification including descriptions of the problem and the collateral data, and a navigation link to access more information from a source of problem information related to the collateral data. The central server transmits the notification to a remote computing device based upon a remote computing device destination address.

Abstract: Systems, methods, and computer-readable media are disclosed for evaluating data quality. An exemplary embodiment includes storing a plurality of records, the records sharing a common attribute, and reading first values for the common attribute corresponding to a first time period and second values for the common attribute corresponding to a second time period. A business rule for evaluating the common attribute is accessed, and first and second consistency data are generated. The first consistency data may reflect the extent to which the first values of the common attribute are consistent with the business rule at the first time. The second consistency data may reflect the extent to which the second values of the common attribute are consistent with the business rule at the second time.

Abstract: Systems and methods are disclosed for automated rule-based income validation using electronic transaction data. One or more processors receive transaction data associated with a financial account, including data elements representing income transactions. Characteristics of the data elements are analyzed, and an income type label and an income source label are associated with the data elements. A cluster of data elements is identified as associated with a first income source label, the identified cluster including data elements associated with a first income type label. The cluster of data elements is verified, and data associated with the verified cluster is analyzed to determine one or more income streams. Based on a transaction rule associated with the one or more income streams, a composite income is calculated, and a net income associated with the first income type is determined. Based on the determined net income, a gross income distribution is generated.

Abstract: Systems and methods comprise maintaining a data structure comprising historical value and condition data, receiving a query with submitted value data requesting a streamlined process, instantiating a value model based on the query by obtaining the historical value data, determining a modeled value ratio based on the value data, determining a submitted value ratio based on the submitted value data, making a first assessment whether the submitted value ratio is within a predetermined range of the modeled value ratio, making a second assessment whether the modeled value ratio exceeds a predetermined maximum, assigning a first flag to the query based on the first assessment and the second assessment, obtaining historical condition data from the database, assigning a second flag to the query based on the historical condition data, and determining whether to assign the query to the streamlined process based on the first flag and the second flag.

Abstract: The present disclosure describes an adaptor device. The adapter device communicates with disparate management systems. The adaptor receives, from a first decision management system, a first plurality of artifacts that defines a first set of logic for a decision, wherein the first plurality of artifacts comprises two or more rule families, and converts the first plurality of artifacts into a second plurality of artifacts that defines a second set of logic for the decision, that is equivalent to the first set of logic, and that is executable by a second decision management system. The converting includes recognizing one or more dependencies between the two or more rule families, configuring the second set of logic to perform rule flows for the two or more rule families in an execution order according to the one or more dependencies, and communicating the second plurality of artifacts to the second decision management system.

Abstract: In an illustrative embodiment, an automated system links data files associated with loan submissions that have different identification attributes. The system may include computing systems and devices for receiving requests from a number of remote computing systems to identify loan products associated with a data file. The system can generate a matching input matrix comparing identification attributes from a first data file to identification attributes of candidate data files. The system can apply attribute matching rules to the matching input matrix to identify other data files that correspond to the same loan product as the first data file despite the data files having different identification attributes. The system can link data files corresponding to the same loan product within a data repository with a product linking key and output the linking key or other data for the loan product to a receiving computing system.

Abstract: In an illustrative embodiment, an automated system engineers customized feature vectors from geospatial information system (GIS) metadata. The system may include computing systems and devices for extracting metadata for GIS features located within a predetermined distance of a property from a GIS map file and storing the extracted GIS features within a feature vector. The system can augment each of the extracted GIS features with amplifying data features extracted from external data sources. The system can calculate a distance between the property and each extracted GIS feature, which establishes a relationship between the property and each GIS feature and associated amplifying data features. Amounts of correlation between each of the extracted GIS features and associated amplifying data features within the feature vector and a market assessment of the property location can be identified using a data model trained with a data set customized to characteristics of the property.

Abstract: Systems, methods, and computer-readable storage media are described for modeling the requirements of software to generate test requirements. In one exemplary embodiment, a computer-implemented method comprises generating a model of the requirements using a tree graph model, identifying primary paths of the tree graph model using an algorithm, and creating test cases based on the identified primary paths.

Abstract: Systems, methods, and computer-readable media are disclosed for extracting data from web applications. An exemplary embodiment includes monitoring web traffic between a client terminal and a server, the web traffic corresponding to a user's interaction with a web browser to send a request for data, such as a web page, from the client terminal to the server. A data log is created reflecting the monitored web traffic, and processed to extract the request for data. A command is generated for accessing the server based on the request for the data that was extracted from the data log. When the generated command is executed, it downloads the data from the server to the client terminal. Some embodiments are able to specify a pattern to search for in the downloaded web page, search the downloaded data for the pattern to identify data of interest and provide the identified data to a user.

Abstract: In an illustrative embodiment, an automated system assesses risks associated with real estate entities. The system may include computing systems and devices for extracting data attributes for real estate entities from received source data, and the extracted data attributes may each be associated with a particular data level for a real estate entity. The system can link data attributes in adjacent data levels with unique linkage information and compute metrics for each of the real estate entities from the data attributes where each computed metric may be associated with one of the data levels. The system can assess an amount of risk associated with each of the real estate entities based on the computed metrics and present the assessed amount of risk for one or more real estate entities to a remote computing device of a user responsive to receiving a risk assessment request.

Abstract: A computer system, method, and non-transitory computer-readable medium are provided. A request including unauthenticated data is created and securely transmitted to a remote device, metadata corresponding to the request is updated to indicate successful validation, a response file is validated, and a discrepancy is detected between the unauthenticated data and the authenticated data. Correction data is obtained, and a transaction based on the request and the correction data is executed. A second processor of the remote device verifies that an unauthorized user has not modified the authenticated data, generates a database table based on one or more fields of the authenticated data, extracts one or more predetermined data values from the authenticated data and the database table, and validates the unauthenticated data in the request based on comparing the one or more predetermined data values from the authenticated data and the database table to the unauthenticated data in the request.

Abstract: This disclosure relates to knowledge generation and implementation. A knowledge graph system comprises at least one processor, at least one database communicatively connected to the at least one processor, and a memory storing executable instructions. When executed, the instructions cause the at least one processor to aggregate data associated with a plurality of entities, the aggregated data reflecting one or more relationships between two or more of the plurality of entities. Attribute data identifying loan amounts, property values, and appraisal sources may be extracted from the aggregated data. A knowledge graph data structure may be generated having a plurality of subject notes corresponding to the extracted attribute information. Statistical distributions of attributes associated with one or more appraisal sources may be generated and an anomaly in a first statistical distribution may be detected based on a comparison of the first statistical distribution with a second statistical distribution.

Abstract: Systems and methods are provided for providing an adjustment to a value estimate for a property that is considered distressed. In one embodiment, a method includes receiving the estimate of value for the property; determining, based on a model, the adjustment to the estimate of value, such that the model accounts for a characteristic of the property and a characteristic of the loan; and providing the adjustment.