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.:/artifical_intelligence/data_mining/data_mining_for_scientific_and_engineering_applications/ (11):.

Introduction to Data Mining and Knowledge Discovery - (1999) Authors Two Crows Corporation Language English Type public Url Summary data mining, KDD, algorithms Pages 40 Parts Introduction Data Description for Data Mining Predictive Data Mining Data Mining Models and Algorithms The Data Mining Process Selecting Data Mining Products Summary

Decision Tree Induction Based on Efficient Tree Restructuring - (Feb 2003) Authors PAUL E. UTGOFF NEIL C. BERKMAN JEFFERY A. CLOUSE Language English Type public Url Summary The ability to restructure a decision tree e ciently enables a variety of approaches to decision tree induction that would otherwise be prohibitively expensive Two such approaches are described here, one being incremental tree induction (ITI), and the other being non incremental tree induction using a measure of tree quality instead of test quality (DMTI). Pages 42 Parts Introduction Tree Revision Incremental Tree Induction Direct Metric Tree Induction Comparison of Performance Characteristics Incremental Update Cost Leave One Out Cross Validation Software Related Work Conclusions

Integrating Classification and Association Rule Mining - (1998) Authors Bing Liu, Wynne Hsu, Yiming Ma Language English Type public Url Summary class association rules (CAR), comparison with C4.5 Pages 7 Parts Introduction Problem Statement Generating the Complete Set of CARs Building a Classifier Empirical Evaluation Related Work Conclusion References

Improved Use of Continuous Attributes in C4.5 - (March 1996) Authors J. R. Quinlan Language English Type public Url Summary C4.5, Data Mining, continuous attributes, decision trees Pages 14 Parts Introduction Constructing Decision Trees Modified Assessment of Continuous Attributes Related Research Conclusion

Efficient C4.5 - (February 2000) Authors Salvatore Ruggieri Language English Type public Url Summary C4.5, Decision Tress Induction Algorithms, Supersived Machine Learning, Data Mining Pages 15 Parts Introduction The C4.5 Tree-Construction Algorithm From C4.5 to EC4.5 Experimental Results Windowing and Trials Related Work Conclusions