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CONSUMER FINANCIAL BEHAVIOR MODEL GENERATED BASED ON HISTORICAL TEMPORAL SPENDING DATA TO PREDICT FUTURE SPENDING BY INDIVIDUALS
CONSUMER FINANCIAL BEHAVIOR MODEL GENERATED BASED ON HISTORICAL TEMPORAL SPENDING DATA TO PREDICT FUTURE SPENDING BY INDIVIDUALS
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机译:基于历史时间支出数据生成的消费者财务行为模型,以预测个人的未来支出
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摘要
A method for selecting a next action includes reading transaction data, determining insights and relationships between a first entity and a second entity from the collected transaction data. Once these relationships and insights have been determined, the possibility of a future event occurring in one of a number of selected time periods can be determined using a predictive time-to-event component. A system for selecting a next action includes a memory for storing transaction data, an insight/relationship determination module, and a predictive time-to-event module. The memory, the insight/relationship determination module and the predictive time-to-event module carry out the above method. A programmable media having an instruction set can also cause a machine to carry out the above method.
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