INTRODUCTION TO KNOWLEDGE DISCOVERY AND DATA MINING - CHAPTER 4 ppsx

... handle variable-length data without the need for summarization. Other techniques tend to require records in a fixed format, which is not a natural way to rep- Knowledge Discovery and Data Mining ... OJ and milk, OJ and detergent, OJ and soda, OJ and cleaner  Milk and detergent, milk and soda, milk and cleaner  Detergent and soda, detergent and cleaner...

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... random partition can be misleading for small or moderately-sized samples, and multiple train -and- test ex- periments can do better. Knowledge Discovery and Data Mining 112 Both e0 and ... mostly due to the computational costs for applying leaving-one-out to larger samples. Because leave-one-out estimators are virtually unbiased, the leave-out-one estimator can...

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... Discovery and Data Mining 3 Contents Preface Chapter 1. Overview of Knowledge Discovery and Data Mining 1.1 What is Knowledge Discovery and Data Mining? 1.2 The KDD Process 1.3 KDD and ... and [12], Chapters 4 and 5 are with [4] , Chapter 6 is with [3], and Chapter 7 is with [13]. Knowledge Discovery and Data Mining 18...

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... codes. The standard-form model is a data presentation that is uniform and effective across a wide spectrum of data mining methods and supplementary data- reduction techniques. Its model of data makes ... most data min- ing methods in searching for good solutions. 2.2 Data Transformations A central objective of data preparation for data mining is to transfor...

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... 37 Entropy([9+, 5-] ) = - (9/ 14) log 2 (9/ 14) - (5/ 14) log 2 (5/ 14) = 0. 940 (3.2) Notice that the entropy is 0 if all members of S belong to the same class. For exam- ple, if all members ... the attribute Wind may then be calculated as 0. 048 (6/ 14) 1.0 0- 1(8/ 14) 0.81 - 0. 940 )() 14/ 6()(8/ 14) - )( || || )(),( ]3,3[ ]2,6[ , 5-] [9 ,...

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... 6 5 5 5 5 4 4 4 4 3 3 3 3 2 2 2 2 Figure 5.6: K=2 clustered by color Knowledge Discovery and Data Mining 64 As we continue to work through the K-means algorithm, ... each data point forming its own Knowledge Discovery and Data Mining 66 know by how much. If X, Y, and Z are ranked 1, 2, and 3, we know that X > Y > Z, but not w...

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... Typically, the feedback is limited to either Knowledge Discovery and Data Mining 86 used variant. Its two primary virtues are that it is simple and easy to understand, and it works for a wide range ... can be used for clas- sification, modeling, and time-series forecasting. For classification problems, the in- Knowledge Discovery and Data Mining 82 6.2 Ne...

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... remaining and/ or the 109 Enzymes: A Practical Introduction to Structure, Mechanism, and Data Analysis. Robert A. Copeland Copyright  2000 by Wiley-VCH, Inc. ISBNs: 0 -4 7 1-3 592 9-7 (Hardback); 0 -4 7 1-2 206 3-9 ... ; [S] K   (5 .43 ) or dividing the top and bottom of the right-hand side of Equation 5 .43 by [S], we obtain: v : V  1 ; K  [S] ; [S] K  (5 .44 ) w...

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... Medicine and Gene Therapy. Edited by Thomas F. Kresina, PhD Copyright © 2001 by Wiley-Liss, Inc. ISBNs: 0 -4 7 1-3 918 8-3 (Hardback); 0 -4 7 1-2 238 7-5 (Electronic) 148 GENE THERAPY FOR HEMATOLOGICAL ... specifically 113 An Introduction to Molecular Medicine and Gene Therapy. Edited by Thomas F. Kresina, PhD Copyright © 2001 by Wiley-Liss, Inc. ISBNs: 0 -4 7 1-3 918 8...

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... X. and Kumar, V. and Ross Quinlan, J. and Ghosh, J. and Yang, Q. and Motoda, H. and McLachlan, G.J. and Ng, A. and Liu, B. and Yu, P.S. and others, Top 10 algorithms in data mining, Knowledge and ... Data Mining and Knowledge Discovery, 15(1):8 7-9 7, 2007. Larose, D.T., Discovering knowledge in data: an introduction to data mining, John Wiley...

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