P. Chan and S. Stolfo. Learning with Non-uniform Class and Cost Distributions: Effects and a Distributed Multi-Classifier Approach. In Workshop Notes KDD-98 Workshop on Distributed Data Mining, pages 1-9, 1998.  Home/Search   Document Details and Download   Summary   Related Articles

....airtime used. Naturally, this is due to the more cost of prolonged fake calls. Static cost notion is inappropriate in such situations. Since the credit card fraud detection domain is extremely dependent on the dollar amount of each credit card transaction, Chan et al. in their studies [12] and [13] represented the cost model in terms of overheads, which are equivalent to operational costs that is needed for each investigation and transaction amounts of instances. If the amount of transaction is smaller than the overhead, net gain will be lower even if that transaction is fraudulent, so it ....

P. Chan and S. Stolfo. Learning with Non-uniform Class and Cost Distributions: Effects and a Distributed Multi-Classifier Approach. In Workshop Notes KDD-98 Workshop on Distributed Data Mining, pages 1-9, 1998.

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