Data Mining and Knowledge Discovery Handbook, 2 Edition part 75 doc
Data Mining and Knowledge Discovery Handbook, 2 Edition part 75 doc
... The Knowledge- Acquisition Mode 36 Meta-Learning 723 tree imbalance, etc.), as a means to characterize the dataset (Bensusan, 1998, Bensusan and Giraud-Carrier, 20 00b, Hilario and Kalousis, 20 00, ... of Data Mining tools and in particular to provide significant savings in experimentation time. 36 Meta-Learning 729 Chan, P., Stolfo, S. On the Accuracy of Meta-Learning for Scala...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 130 doc
... 703 Regression, 133, 514, 529 , 563 linear, 95, 185, 21 0, 529 , 5 32, 564, 644, 744, 121 2, 127 3 logistic, 97, 21 8, 22 6, 527 , 531, 5 32, 645, 647, 849, 850, 10 32, 1154, 120 0, 120 1, 120 5, 121 2, 127 3 stepwise, 189 Regression,linear, ... 34, 88, 92, 94, 1 12, 135, 151, 163, 795, 798, 881, 899, 907, 961, 9 72, 10 12, 1118, 1198, 127 3 CART, 510 CART (Classification and regressio...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 14 doc
... (Kaufman and Rousseeuw, 1990, Ng and Han, 1994, Ramaswamy et al., 20 00, Barbara and Chen, 20 00, Shekhar and Chawla, 20 02, Shekhar and Lu, 20 01, Shekhar and Lu, 20 02, Acuna and Rodriguez, 20 04). Hu and ... the entire population (Schiffman et al., 1981,Ng and Han, 1994, Shekhar and Chawla, 20 02, Shekhar and Lu, 20 01, Shekhar and Lu, 20 02, Lu et al., 20...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 15 doc
... Fifth International Conference and Data Warehousing and Knowledge Discovery (DaWaK 02) , Aix en Provence, France, 20 02. Haining R., Spatial Data Analysis in the Social and Environmental Sciences. ... 19 92. Johnson T., Kwok I., Ng R., ”Fast Computation of 2- Dimensional Depth Contours,” In Pro- ceedings of the Fourth International Conference on Knowledge Discovery and...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 23 doc
... Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/978-0-387-09 823 -4_11, © Springer Science+Business Media, LLC 20 10 20 8 Paola Sebastiani, Maria M. Abad, and Marco ... Madigan and G. Ridgeway. Bayesian data analysis for Data Mining. In Handbook of Data Mining, pages 103–1 32. MIT Press, 20 03. D. Madigan and J. York. Bayesian gr...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 27 docx
... Equations 12. 17- 12. 18 with the following equations: min w,b,e 1 2 w 2 + γ 1 2 n ∑ i=1 e 2 i ( 12. 29) Subject to y i ·((w · Φ (x i )) + b)=1 −e i , i = 1, ,n ( 12. 30) Important differences with standard ... (Equation 12. 25) while replacing the quadratic function in Equation 12. 26 with a linear function subject to constraints on the error of kernel expansion (Equation 12. 25)...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 35 docx
... {100 ,20 0} 2 50% {chips} {100 ,20 0,400} 3 75% {pizza} {300,400} 2 50% {wine} {100,300} 2 50% {beer,chips} {100 ,20 0} 2 50% {beer,wine} {100} 1 25 % {chips,pizza} {400} 1 25 % {chips,wine} {100} 1 25 % {pizza,wine} ... already presented before Eclat and its relatives.) The main difference in the Partition algorithm, compared to Apriori and Eclat, is that the database is par...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 40 docx
... greedy data mining methods (Freitas 20 02a; Dhar et al. 20 00; Papagelis & Kalles 20 01; Freitas 20 01, 20 02c). O. Maimon, L. Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., ... been most used for data mining. Both GA and GP can be described, at a high level of abstraction, by the pseu- docode of Algorithm 1. Although GA and GP share thi...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 43 docx
... Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/978-0-387-09 823 -4 _20 , © Springer Science+Business Media, LLC 20 10 408 Oded Maimon and Shahar Cohen 20 .4 Extensions ... Construction and Selection, 307- 323 . Kluwer. Witten IH and Frank E (20 05) Data Mining: practical machine learning tools and techniques . 2nd Ed. Morgan Kaufma...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 46 doc
... ; 9 :2- 54. Chen K.Y., Wang, C.H. (20 07), Support vector regression with genetic algorithms in fore- casting tourism demand. Tourism Management ; 28 :21 5 -22 6. Chiang W.K., Zhang D., Zhou L. (20 06), ... and Lisboa, Edisbury, and Vellido (20 00). 21 .5 Conclusions Neural networks are standard and important tools for data mining. Many features of neural networks such as nonlinear...
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