发明名称 |
Method and apparatus for predicting whether a specified event will occur after a specified trigger event has occurred |
摘要 |
In many situations it is required to predict if and/or when an event will occur after a trigger. For example, businesses such as banks would like to predict if and when their customers are likely to leave after a particular event such as closing a loan. The business is then able to take action to prevent loss of customers. Customer data including data about customer who have closed a loan and then left a bank for example, is used to create a Bayesian statistical model. A plurality of attributes are available for each customer and the model involves partitioning these attributes into a plurality of partitions. In one embodiment the Bayesian statistical model is a survival analysis type model and in another embodiment the model comprises fitting a Weibull distribution to the data in each of the partitions. The marginal likelihood of the data is calculated and then the method involves mixing over all possible partitions in a Bayesian framework. Alternatively an optimal set of partitions which best predicts the data is chosen.
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申请公布号 |
US2002016699(A1) |
申请公布日期 |
2002.02.07 |
申请号 |
US20010865066 |
申请日期 |
2001.05.24 |
申请人 |
HOGGART CLIVE;GRIFFIN JAMES |
发明人 |
HOGGART CLIVE;GRIFFIN JAMES |
分类号 |
G06F17/18;G06Q10/00;(IPC1-7):G06F17/10 |
主分类号 |
G06F17/18 |
代理机构 |
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