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A Framework for Scalable Cost-sensitive Learning Based on Combing Probabilities and Benefits.

, , , and . SDM, page 437-453. SIAM, (2002)

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Email mining toolkit supporting law enforcement forensic analyses., and . DG.O, volume 89 of ACM International Conference Proceeding Series, page 221-222. Digital Government Research Center, (2005)AdaCost: Misclassification Cost-Sensitive Boosting., , , and . ICML, page 97-105. Morgan Kaufmann, (1999)The PARULEL Parallel Rule Language., , and . ICPP (2), page 36-45. CRC Press, (1991)Citizen's Attitudes about Privacy While Accessing Government and Private Websites: Results of an Online Study., , , and . DG.O, Digital Government Research Center, (2003)Adaptive Anomaly Detection via Self-calibration and Dynamic Updating., , , and . RAID, volume 5758 of Lecture Notes in Computer Science, page 41-60. Springer, (2009)Anomalous Payload-Based Worm Detection and Signature Generation., , and . RAID, volume 3858 of Lecture Notes in Computer Science, page 227-246. Springer, (2005)Return Value Predictability Profiles for Self-healing., , , , and . IWSEC, volume 5312 of Lecture Notes in Computer Science, page 152-166. Springer, (2008)Behavior Profiling of Email., , , , and . ISI, volume 2665 of Lecture Notes in Computer Science, page 74-90. Springer, (2003)Behavior-based modeling and its application to Email analysis., , , , , and . ACM Trans. Internet Techn., 6 (2): 187-221 (2006)Extracting context to improve accuracy for HTML content extraction., , and . WWW (Special interest tracks and posters), page 1114-1115. ACM, (2005)