Data Mining and Knowledge Discovery Handbook, 2 Edition part 83 doc
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 g...
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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 parti...
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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., ... candidate conditions, the rule is still incomplete, being just a partial solution, so that the rule evaluation function is somewhat shortsighted (Freitas 20 01, 20 02a...
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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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Data Mining and Knowledge Discovery Handbook, 2 Edition part 63 doc
... (Sahar, 20 01), refers to measures of interest that can be applied automatically O. Maimon, L. Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/978-0-387-09 823 -4_30, ... 18, pp. 21 63 – 21 70, 1990 Keim D. A., Information Visualization and Visual Data mining, IEEE Transactions of Visu- alization and Computer Graphics, Vol. 7, No. 1,...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 64 docx
... Data, pages 26 5 27 6, Tucson, AZ, USA. Fayyad, U. M., Piatetsky-Shapiro, G., and Smyth, P. (1996). Advances in Knowledge Dis- covery and Data Mining, chapter 1: From Data Mining to Knowledge Discovery: ... Roddick, J. F. (20 00). Higher order mining: Modeling and mining the results of knowledge discovery. In Proceedings of the Second Conference on Data Mining Me...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 67 docx
... (REG C) 163.90 10 5.064 20 .134 22 .575 22 .679 163.90 20 5.064 12. 813 12. 813 14.033 163.90 30 5.064 9.7 62 10.103 10 .29 3 163.90 40 5.064 8 .23 7 8 .23 7 8.5 42 163.90 50 5.064 7. 322 7.383 7.445 163.90 60 ... the validation dataset, with 1 629 enterprises 32 64 Data Mining Model Comparison 9 and to compare it with the previous ones see, for instance, (Zucchini, 20 00) or...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 69 docx
... extension to SQL for mining association rules. Data Mining and Knowledge Discovery, 2( 2):195 22 4, 1998. K. Morik and M. Scholz. The Mining Mart approach to knowledge discovery in databases. In Intelligent ... In- ductive Queries, volume 26 82 of LNCS, pages 3 26 . Springer-Verlag, 20 04. J F. Boulicaut and B. Jeudy. Constraint-based Data Mining. In Data Mining...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 73 doc
... 20 .60 728 858 27 .00680666 Rank18 34.69 20 . 728 565 27 .70810968 Rank16 33 .25 22 .996878 28 . 121 753 72 Rank13 31 .29 25 .26 048534 28 .27 61 028 6 Rank14 34. 12 26.5717775 30.348 326 51 Rank11 29 .79 32. 094 528 19 ... 46.47 27 .9 828 0 127 37 .22 45081 Micmul08 51.00 23 .4813759 37 .24 028 758 Micmul06 48.60 25 .94948057 37 .27 647059 Rank08 22 . 42 52. 326 61 37.3 723 2...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 83 doc
... 25 3473 21 1768 26 929 0 21 56 92 289 129 6000 103763 98777 101176 121 057 1 024 47 138565 106576 143 620 4000 69447 65 024 68081 80996 69346 90815 70 325 96153 3000 433 12 4 121 2 429 17 5 929 3 44977 6 722 2 46139 71660 Cost-sensitive ... on Knowledge Discovery and Data Mining, 20 03. 42 Text Mining and Information Extraction Moty Ben-Dov 1 and Ronen Feldman 2 1...
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