書誌事項

Data mining and data visualization

edited by C.R. Rao, E.J. Wegman, J.L. Solka

(Handbook of statistics, v. 24)

Elsevier, 2005

1st ed

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes applications to text analysis, computer intrusion detection, and hiding of information in digital files. The second section focuses on a variety of statistical methodologies that have proven to be effective in data mining applications. These include clustering, classification, multivariate density estimation, tree-based methods, pattern recognition, outlier detection, genetic algorithms, and dimensionality reduction. The third section focuses on data visualization and covers issues of visualization of high-dimensional data, novel graphical techniques with a focus on human factors, interactive graphics, and data visualization using virtual reality. This book represents a thorough cross section of internationally renowned thinkers who are inventing methods for dealing with a new data paradigm.

目次

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.

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  • 1
    Handbook of statistics

    North-Holland , Sole distributors for the U.S.A. and Canada, Elsevier Science Pub. Co. 1980-

    所蔵館2館

詳細情報

  • NII書誌ID(NCID)
    BA72484744
  • ISBN
    • 0444511415
  • 出版国コード
    ne
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Amsterdam ; Tokyo
  • ページ数/冊数
    xiv, 643 p.
  • 大きさ
    25 cm
  • 親書誌ID
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