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Cristianini N, Shawe Taylor J (2000) An Introduction to Support Vector Machines and Other Kernel Based Learning Methods Cambridge: Cambridge University Press Dalby A, Nourse JG, Gushurst AK, Hounshell WD, Grier L, Leland BA, Laufer J (1992) Description of several chemical structure le formats used by computer programs developed at Molecular Design Limited Journal of Chemical Information and Computer Sciences 32: 244 255 Dasu T, Johnson T (2003) Exploratory Data Mining and Data Cleaning Hoboken, NJ: John Wiley and Sons Davenport TH, Harris JG (2007) Competing on Analytics: The New Science of Winning Boston, MA: Harvard Business School Publishing Draper NR, Smith H (1998) Applied Regression Analysis Hoboken, NJ: John Wiley and Sons Everitt BS, Landau S, Leese M (2001) Cluster Analysis Oxford: Oxford University Press Fan W, Wallace L, Rich S, Zhang Z (2006) Tapping the power of text mining Communications of the ACM 49(9): 76 82.

USE CHA2; SELECT FirstName, LastName, Nickname FROM dbo.Customer WHERE Nickname IS NULL ORDER BY LastName, FirstName; Result: FirstName LastName Nickname ---------------------------------------Debbie Andrews NULL Dave Bettys NULL Jay Brown NULL Lauren Davis NULL ...

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Feldman R, James S (2007) The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data New York: Cambridge University Press Fielding AH (2007) Cluster and Classi cation Techniques for the Biosciences New York: Cambridge University Press Forsyth R (1990) Zoo database Available at: http:/ /archiveicsuciedu/ml/machine learning databases/zoo/zoonames Accessed May 19, 2008 Fox J (1997) Applied Regression Analysis, Linear Models and Related Methods Thousand Oaks, CA: Sage Publications Freedman D, Pisani R, Purves R (1998) Statistics, 3rd edn New York: Norton Gan CM, Wu J (2007) Data Clustering: Theory, Algorithms, and Applications, 1st edn Philadelphia, PA: Society for Industrial and Applied Mathematics Gasteiger J, Engel T, editors (2003) Chemoinformatics: A Textbook Weinheim: Wiley VCH Giudici P (2003) Applied Data Mining: Statistical Methods for Business and Industry Chichester: John Wiley & Sons Grossman RL, Kamath C, Kegelmeyer P, Kumar V, Namburu R (2001).

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through all the log files and produce all the HTML files, which you can then view with the full results of your recently run test. The junit tool is very powerful and it should be used throughout the development process, not just near the end of a project. It is a great tool for making sure that nothing will get broken during any future development or refactoring.

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Data Mining for Scienti c and Engineering Applications Dordrecht: Kluwer Academic Publishers Han J, Kamber M (2005) Data Mining: Concepts and Techniques, 2nd edn San Francisco, CA: Morgan Kaufmann Hand DJ, Yu K (2001) Idiot s Bayes not so stupid after all International Statistical Review 69(3): 385 399 Hassoun MH (1995) Fundamentals of Arti cial Neural Networks Cambridge, MA: The MIT Press Hastie T, Tibshirani R, Friedman JH (2003) The Elements of Statistical Learning, 3rd edn New York: Springer Science & Business Media Haykin S (1998) Neural Networks: A Comprehensive Foundation, 2nd edn Upper Saddle River, NJ: Prentice Hall Hearst MA (1999) Untangling text data mining In: Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics on Computational Linguistics (College Park, Maryland, June 20 26, 1999) Annual Meeting of the ACL Morristown, NJ: Association for Computational Linguistics Hoaglin DC, Mosteller F, Tukey JW (2000).

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