Giudici's Applied Data Mining for Business and Industry, 2nd edition PDF

By Giudici

ISBN-10: 0470058862

ISBN-13: 9780470058862

ISBN-10: 0470058870

ISBN-13: 9780470058879

Utilized info Mining for enterprise and through Giudici, Paolo, Figini, Silvia [Wiley,2009] (Paperback) second version [Paperback]

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Extra info for Applied Data Mining for Business and Industry, 2nd edition

Example text

The boxplot also indicates the presence of anomalous observations or outliers. Observations smaller than T1 or greater than T2 can indeed be seen as outliers, at least on an exploratory basis. We now introduce a summary statistical index than can measures the degree of symmetry or asymmetry of a distribution. The proposed asymmetry index is function of a quantity known as the third central moment of the distribution: (xi − x)3 . N The index of asymmetry, known as skewness, is then defined by µ3 γ = 3, s where s is the standard deviation.

A12  .  + a22  .  + · · · + ap2  .  , Yn2 xn1 xn2 xnp that is, in matrix terms, p Y2 = aj 2 Xj = Xa2 , j =1 where the vector of the coefficients a2 = (a12 , . . , ap2 ) is chosen in such a way that max Var(Y2 ) = max(a2 , Sa2 ), under the constraints a 2 a2 = 1 and a 2 a1 = 0. Note the second constraint, which requires the two vectors a2 and a1 orthogonal. This means that the first and second components will be uncorrelated. The expression for the second principal component can be obtained through the method of Lagrange multipliers, and a2 is the eigenvector (normalised and orthogonal to a1 ) corresponding to the second largest eigenvalue of S.

Visitor B Visitor A 1 0 Total 1 CP = 2 PA = 4 6 0 AP = 1 CA = 21 22 Total 3 25 P = 28 Note that, of the 28 pages considered, two have been visited by both visitors. In other words, 2 represent the absolute frequency of contemporary occurrences (CP , for co-presence, or positive matches) for the two observations. In the lower right-hand corner of the table, there is a frequency of 21 equal to the number of pages that are visited neither by A nor by B. This frequency corresponds to contemporary absences in the two observations (CA, for co-absences or negative matches).

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Applied Data Mining for Business and Industry, 2nd edition by Giudici

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