Abstract: Various embodiments of the present disclosure provide a casino patron engagement system that facilitates engagement among casino employees and casino patrons to engender patron loyalty.

Abstract: A dynamic next-stop or next-item recommendation system that is built entirely from raw card transaction data logs. These data logs contain rich transaction data between cardholders and merchants. A query network approach is constructed for geometrical expressivity and automatically learns the inherent class-hierarchy. To ensure scalability and interpretability of the approach, merchants or entities are grouped into interpretable categories and propose a quadtree-based spatial decomposition of the underlying geography. A two-step recommendation process initiates: (1) predict next-merchant quadtree-box and category combination (2) recommend merchants within the predicted combination. This novel neural architecture may handle the hierarchical classification task in the first part of the recommendation system and compare the methods to previous state-of-the-art approaches in related areas.

Abstract: A cloud-based process stream analysis and grading engine for manufacturing and business applications. As a module contained within a comprehensive manufacturing quality suite, the grading engine functions are divided into two stages. For each unique part/process/feature data stream, Stage one automatically generates and stores a daily statistical summary record. These records are summarized from millions of raw data values fed into the engine across thousands of process streams. Stage two, the grading function, compares a user-specified time bounded analysis of each stream's summary history to the respective engineering specifications, resulting in a concatenated dual character grade—a letter and a number. There are a total of nine possible grade outcomes (A1, A2, A3, B1, B2, B3, C1, C2, and C3). The ABC portion of the grade ranks the Yield Potential. The 123 portion ranks the Yield Performance.

Abstract: Techniques are disclosed for managing workflows using block chains. An entire workflow may be stored as a finite state machine on a block chain. Each data block of the block chain may correspond to a state and related operation of a workflow. Each data block of the block chain may be used as an input to a subsequent state of the workflow. Thus, any input may be used to compute the workflow even if the input is not designed to be used by a workflow. Nested block chains, each corresponding to a different workflow or different part of a workflow may be used to increase performance of computing the workflows.

Abstract: Techniques are provided for generating target success group of hybrid seeds for target fields include a server receiving agricultural data records that represent crop seed data describing seed and yield properties of hybrid seeds and first field geo-location data for agricultural fields where the hybrid seeds were planted. The server receives second geo-locations data for target fields where hybrid seeds are to be planted. The server generates a dataset of hybrid seed properties that include yield values and environmental classifications for hybrid seeds and then a dataset of success probability scores that describe the probability of a successful yield on the target fields based on the dataset of hybrid seed properties and the second geo-location data. The server generates target success yield group of hybrid seeds and probability of success values based on success probability scores and a yield threshold. The server causes display of the target success yield group.

Abstract: Techniques are provided for generating a set of target hybrid seeds with optimal yield and risk performance, including a server receiving a candidate set of hybrid seeds along with probability of successful yield values, associated historical agricultural data and property information, and selecting a subset of the hybrid seeds that have probability of success values greater than a filtering threshold. The server generates representative yield values for hybrid seeds based on the historical agricultural data and risk values for each hybrid seed. The server generates a dataset of target hybrid seeds for planting based on the risk values, the yield values, and the properties for the target fields. The dataset of target hybrid seeds includes target hybrid seeds that meet a specific threshold for a range of risk values. The server causes display of the dataset of target hybrid seeds including yield values and risk values for the target fields.

Abstract: In one embodiment, a method includes using a first computing device to access digital data representing a contract set of contract documents and digital contract metadata, weight differences between data field values, use the weighted differences to calculate distance scores, use the distance scores and a temporal ordering of the contract documents to generate and cause displaying a time curve graph comprising a geometric shape that comprises time curves and a spatial proximity at a second computing device, a measure of each time curve calculated to indicate an amount of time between a creation of two contract documents, the spatial proximity calculated to indicate a metric of similarity between the contract documents, in response to determining that the geometric shape indicates a lack of convergence over a threshold amount of time, generate and cause displaying a notification indicating that the contract set is at risk at the second computing device.

Abstract: In energy markets in which bidding process is used to sell energy, it is important that a mechanism for deciding bidding amount is in place. State of the art systems in this domain have the disadvantage that they rely on simulation data, and also they make certain assumptions, and both the factors can affect accuracy of results when the systems are deployed and are expected to handle practical scenarios. The disclosure herein generally relates to energy markets, and, more particularly, to a method and a system for Reinforcement Learning (RL) based model for generating bids. The system trains a RL agent using historical data with respect to competitor bids places and Market Clearing Prices (MCPs). The RL agent then processes real-time inputs and generates bidding recommendations.

Abstract: At least one target area is identified based on a pollution concentration field of a geographic area. At least one candidate site is selected from a plurality of sites within the geographic area based on a relationship between the plurality of sites and pollution sources, where the plurality of sites are potential positions for deploying sensors for monitoring pollution. A target site is determined from the at least one candidate site based on the at least one target area.

Abstract: Embodiments of this application provide a seed group spreading method performed at a server. The method includes the following steps: obtaining a positive sample set; obtaining a negative sample set; concatenating each positive sample in the positive sample set with a corresponding positive sample feature to form a positive sample feature vector, and concatenating each negative sample in the negative sample set with a corresponding negative sample feature to form a negative sample feature vector; obtaining a target sample feature set from the positive sample feature vector and the negative sample feature vector according to at least two of a target group index, an information gain, and a logistic regression model; and sending the target sample feature set to a decision end, receiving feedback information of the decision end, and determining, according to the feedback information, whether to spread the seed group.

Abstract: Embodiments of the invention are directed to systems, methods and computer program products for a lineage identification and tracking system. The system generates codes each resource instrument created, such as physical or paper resource instrument, with an index that can track the instrument via a qubit. The coded index is stored. During the life of the resource instrument a quantum optimizer may be utilized for lineage tracking of the instrument. Thus, generating an assigned traceability finger print for the life of the instrument generating a lineage tree. Thus, the invention identifies the instrument and that the instrument can only be at one place at one time, thus providing aid in detecting misappropriation of physical or paper resource instruments.

Abstract: Systems and methods of determining real-time available capacity of a merchant are provided. A plurality of financial transactions involving the merchant can be received during a current time period. A current payment velocity of the financial transactions involving the merchant during the current time period can be determined. The current payment velocity can be compared with a baseline payment velocity associated with financial transactions involving the merchant during a corresponding historical time period. An available capacity of the merchant can be determined, based on a difference between the current payment velocity and the baseline payment velocity.

Abstract: In one embodiment, a method includes storing digital data representing a contract set of contract documents, storing digital contract metadata identifying data fields and associated data types with respectively assigned weights in each contract document, identifying and weighting differences between data field values, calculating distance scores based on the weighted differences, generating and causing displaying a time curve graph based on the distance scores and a temporal ordering of the contract documents, the time curve graph including a geometric shape that graphically indicates time curves and a spatial proximity between the contract documents, performing a digital geometric analysis of the time curve graph to identify whether the geometric shape indicates a lack of convergence over a threshold amount of time, in response to determining that the geometric shape indicates the lack of convergence, generating and causing displaying a notification indicating that the contract set is at risk.

Abstract: Techniques are disclosed for managing workflows using block chains. An entire workflow may be stored as a finite state machine on a block chain. Each data block of the block chain may correspond to a state and related operation of a workflow. Each data block of the block chain may be used as an input to a subsequent state of the workflow. Thus, any input may be used to compute the workflow even if the input is not designed to be used by a workflow. Nested block chains, each corresponding to a different workflow or different part of a workflow may be used to increase performance of computing the workflows.

Abstract: Embodiments of the invention are directed to systems, methods and computer program products for a lineage identification and tracking system. The system generates codes each resource instrument created, such as physical or paper resource instrument, with an index that can track the instrument via a qubit. The coded index is stored. During the life of the resource instrument a quantum optimizer may be utilized for lineage tracking of the instrument. Thus, generating an assigned traceability finger print for the life of the instrument generating a lineage tree. Thus, the invention identifies the instrument and that the instrument can only be at one place at one time, thus providing aid in detecting misappropriation of physical or paper resource instruments.