Chapter 1: Statistical Data Mining, Wegman, Edward J. and Solka, Jeffrey L. Chapter 2: From Data Mining to Knowledge Mining, Kaufman, Kenneth A. and Michalski, Ryszard S. Chapter 3: Mining Computer Security Data, Marchette, David J. Chapter 4: Data Mining of Text Files, Martinez, Angel R. Chapter 5: Text Data Mining with Minimal Spanning Trees, Solka, Jeffrey L., Bryant, Avory C., and Wegman, Edward J. Chapter 6: Information Hiding: Steganography and Steganalysis, Duric, Zoran, Jacobs, Michael, and Jajodia, Sushil Chapter 7: Canonical Variate Analysis and Related Methods for Reduction of Dimensionality and Graphical Representation, Rao, C. Radhakrishna Chapter 8: Pattern Recognition, Hand, David J. Chapter 9: Multivariate Density Estimation, Scott, David J. and Sain, Stephan R. Chapter 10: Multivariate Outlier Detection and Robustness, Hubert, Mia, Rousseeuw, Peter J., and Van Aelst, Stefan Chapter 11: Classification and Regression Trees, Bagging, and Boosting, Sutton, Clifton D. Chapter 12: Fast Algorithms for Classification Using Class Cover Catch Digraphs, Marchette, David J., Wegman, Edward J., and Priebe, Carey E. Chapter 13: On Genetic Algorithms and their Applications, Said, Yasmin Chapter 14: Computational Methods for High-Dimensional Rotations in Data Visualization, Buja, Andreas, Cook, Dianne, Asimov, Daniel, and Hurley, Catherine Chapter 15: Some Recent Graphics Templates and Software for Showing Statistical Summaries, Carr, Daniel B. Chapter 16: Interactive Statistical Graphics: The Paradigm of Linked Views, Wilhelm, Adalbert Chapter 17: Data Visualization and Virtual Reality, Chen, Jim X.