Data mining is an approach to solve learning problems, that approach is different from the classic statistical approach on the subjacent model is specified on automated way, it have applications to all the branches of the knowledge where structured data is available (and also in some cases when the data is available on not structured way).
The kind of problems where data mining techniques can be applied include:
1. Predict if a patient that develop a thrombosis incident can develop it again, that prediction can include clinical and physical data of the patient.
2. Determine if the subscriber of a web based magazine will renew or not his subscription based on the traffic of the subscriber to the magazine web site and other demographics of the subscriber.
3. Recognize the characters on a handwritten form .
No comments:
Post a Comment