Data Mining and Data Visualization

About this book

Focuses on dealing with large-scale data, a field commonly referred to as data mining. It is divided into three sections: an introduction to statistical aspects of data mining and machine learning; a variety of statistical methodologies including clustering and classification; and data visualization.

Contents

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.

Customer Reviews

Biography

C. R. Rao, born in India is one of this century's foremost statisticians, received his education in statistics at the Indian Statistical Institute (ISI), Calcutta. Rao is currently at Penn State as Eberly Professor of Statistics and Director of the Center for Multivariate Analysis. His research has influenced not only statistics, but also the physical, social and natural sciences and engineering.