[ACM Press the ninth ACM SIGKDD international conference - Washington, D.C. (2003.08.24-2003.08.27)] Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '03 - Applying data mining in investigating money laundering crimes

[ACM Press the ninth ACM SIGKDD internat

[ACM Press the ninth ACM SIGKDD international conference - Washington, D.C. (2003.08.24-2003.08.27)] Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '03 - CloseGraph

✍ Yan, Xifeng; Han, Jiawei 📂 Article 📅 2003 🏛 ACM Press ⚖ 484 KB

[ACM Press the ninth ACM SIGKDD internat

[ACM Press the ninth ACM SIGKDD international conference - Washington, D.C. (2003.08.24-2003.08.27)] Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '03 - CLOSET+

✍ Wang, Jianyong; Han, Jiawei; Pei, Jian 📂 Article 📅 2003 🏛 ACM Press ⚖ 481 KB

[ACM Press the ninth ACM SIGKDD internat

[ACM Press the ninth ACM SIGKDD international conference - Washington, D.C. (2003.08.24-2003.08.27)] Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '03 - The data mining approach to automated software testing

✍ Last, Mark; Friedman, Menahem; Kandel, Abraham 📂 Article 📅 2003 🏛 ACM Press 🌐 English ⚖ 289 KB

This Conference Brings Together Researchers And Practitioners And Focuses On New Developments In Knowledge Discovery And Data Mining. The Challenge Of Extracting Knowledge From Data Is An Area Of Common Interest To Researchers In Several Fields, Including Statistics, Databases, Pattern Recognition,

[ACM Press the ninth ACM SIGKDD internat

[ACM Press the ninth ACM SIGKDD international conference - Washington, D.C. (2003.08.24-2003.08.27)] Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '03 - Mining viewpoint patterns in image databases

✍ Hsu, Wynne; Dai, Jing; Lee, Mong Li 📂 Article 📅 2003 🏛 ACM Press 🌐 English ⚖ 398 KB

This Conference Brings Together Researchers And Practitioners And Focuses On New Developments In Knowledge Discovery And Data Mining. The Challenge Of Extracting Knowledge From Data Is An Area Of Common Interest To Researchers In Several Fields, Including Statistics, Databases, Pattern Recognition,

[ACM Press the ninth ACM SIGKDD internat

[ACM Press the ninth ACM SIGKDD international conference - Washington, D.C. (2003.08.24-2003.08.27)] Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '03 - Efficient decision tree construction on streaming data

✍ Jin, Rouming; Agrawal, Gagan 📂 Article 📅 2003 🏛 ACM Press 🌐 English ⚖ 161 KB

This Conference Brings Together Researchers And Practitioners And Focuses On New Developments In Knowledge Discovery And Data Mining. The Challenge Of Extracting Knowledge From Data Is An Area Of Common Interest To Researchers In Several Fields, Including Statistics, Databases, Pattern Recognition,

[ACM Press the ninth ACM SIGKDD internat

[ACM Press the ninth ACM SIGKDD international conference - Washington, D.C. (2003.08.24-2003.08.27)] Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '03 - Efficient decision tree construction on streaming data

✍ Jin, Rouming; Agrawal, Gagan 📂 Article 📅 2003 🏛 ACM Press 🌐 English ⚖ 161 KB

Decision tree construction is a well studied problem in data mining. Recently, there has been much interest in mining streaming data. Domingos and Hulten have presented a one-pass algorithm for decision tree construction. Their work uses Hoeffding inequality to achieve a probabilistic bound on the a