Data Mining and Data Visualization: Volume 24 (Hardcover)

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.