Often in learning situations, the exceptional class that one seeks to learn forms a small proportion of the total, so that a conventional learning system that minimizes the error can easily fail to recognize the exceptional elements. One way to handle this issue is to increase the cost of misclassifying the rare examples. The other major issue addressed in this paper is that of learning from an online data stream. While recognizing that these two problems have been well studied in the past, the research into the combined problems is more limited.
展开▼
