An Evaluation of High-end Data Mining Tools for Fraud Detection

@inproceedings{citeulike:940990, abstract = {1 Data mining tools are used widely to solve real-world problems in engineering, science, and business. As the number of data mining software vendors increases, however, it has become more challenging to assess which of their rapidly-updated tools are most effective for a given application. Such judgement is particularly useful for the high-end products due to the investment (money and time) required to become proficient in their use. Reviews by objective testers are very useful in the...}, address = {San Diego, CA}, author = {Abbott, Dean W. and Matkovsky, Philip I. and Elder, John F. }, booktitle = {IEEE International Conference on Systems, Man, and Cybernetics}, citeulike-article-id = {940990}, posted-at = {2007-05-22 22:33:15}, priority = {2}, title = {An Evaluation of High-end Data Mining Tools for Fraud Detection}, url = {http://citeseer.ist.psu.edu/abbott98evaluation.html}, year = {1998} }

TY - CONF ID - citeulike:940990 L3 - citeulike-article-id:940990 TI - An Evaluation of High-end Data Mining Tools for Fraud Detection T2 - IEEE International Conference on Systems, Man, and Cybernetics AD - San Diego, CA N2 - 1 Data mining tools are used widely to solve real-world problems in engineering, science, and business. As the number of data mining software vendors increases, however, it has become more challenging to assess which of their rapidly-updated tools are most effective for a given application. Such judgement is particularly useful for the high-end products due to the investment (money and time) required to become proficient in their use. Reviews by objective testers are very useful in the... AU - Abbott, Dean AU - Matkovsky, Philip AU - Elder, John PY - 1998/// UR - http://citeseer.ist.psu.edu/abbott98evaluation.html ER -