内容

目次

Chapter 1: Statistical Data Mining, Wegman, Edward J. and Solka, JeffreyL. Chapter 2: From Data Mining to Knowledge Mining, Kaufman, Kenneth A. andMichalski, Ryszard S. Chapter 3: Mining Computer Security Data, Marchette,David J. Chapter 4: Data Mining of Text Files, Martinez, Angel R. Chapter5: Text Data Mining with Minimal Spanning Trees, Solka, Jeffrey L., Bryant,Avory C., and Wegman, Edward J. Chapter 6: Information Hiding: Steganographyand Steganalysis, Duric, Zoran, Jacobs, Michael, and Jajodia, Sushil Chapter7: Canonical Variate Analysis and Related Methods for Reduction ofDimensionality and Graphical Representation, Rao, C. Radhakrishna Chapter 8:Pattern Recognition, Hand, David J. Chapter 9: Multivariate DensityEstimation, Scott, David J. and Sain, Stephan R. Chapter 10: MultivariateOutlier Detection and Robustness, Hubert, Mia, Rousseeuw, Peter J., and VanAelst, Stefan Chapter 11: Classification and Regression Trees, Bagging, andBoosting, Sutton, Clifton D. Chapter 12: Fast Algorithms for ClassificationUsing Class Cover Catch Digraphs, Marchette, David J., Wegman, Edward J., andPriebe, Carey E. Chapter 13: On Genetic Algorithms and their Applications,Said, Yasmin Chapter 14: Computational Methods for High-DimensionalRotations in Data Visualization, Buja, Andreas, Cook, Dianne, Asimov, Daniel,and Hurley, Catherine Chapter 15: Some Recent Graphics Templates andSoftware 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.