Data Mining and Knowledge Discovery Handbook, 2 Edition part 98 pot
Data Mining and Knowledge Discovery Handbook, 2 Edition part 98 pot
... (Bartlett and Shawe-Taylor, 1 998) . O. Maimon, L. Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/978-0-387-09 823 -4_50, © Springer Science+Business Media, LLC 20 10 ... 62 2 Cancer-Wisconsin 10 699 19 1 Chess 7 28 ,056 1 3 Crx 16 690 1,099 10 Echocardiogram 13 1 32 583 0 Glass 10 1 42 119 0 Heart disease 13 27 0 10 2 Hepatitis 20 15...
Ngày tải lên: 04/07/2014, 05:21
Data Mining and Knowledge Discovery Handbook, 2 Edition part 8 potx
... Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/978-0-387-09 823 -4_4, © Springer Science+Business Media, LLC 20 10 50 Jerzy W. Grzymala-Busse and Witold J. Grzymala-Busse Grzymala-Busse ... Newsletter 4 (20 02) 21 – 30. Wu X. and Barbara D. Modeling and imputation of large incomplete multidimensional datasets. Proc. of the 4-th Int. Con...
Ngày tải lên: 04/07/2014, 05:21
Data Mining and Knowledge Discovery Handbook, 2 Edition part 13 pot
... 131–158. Rokach, L. and Maimon, O., Clustering methods, Data Mining and Knowledge Discovery Handbook, pp. 321 –3 52, 20 05, Springer. Rokach, L. and Maimon, O., Data mining for improving the quality of manufacturing: ... Manufacturing, 17(3) :28 5– 29 9, 20 06, Springer. Rokach, L., Maimon, O., Data Mining with Decision Trees: Theory and Applications, World Scient...
Ngày tải lên: 04/07/2014, 05:21
Data Mining and Knowledge Discovery Handbook, 2 Edition part 18 pot
... al., 1984 ,Murthy, 1 998) , linear programming (Duda and Hart, 1973,Bennett and Mangasarian, 1994), linear discriminant analysis (Duda and Hart, 1973,Friedman, 1977,Sklansky and Wassel, 1981 , Lin and ... y=c 1 S σ y=c 1 S − σ a i ∈dom 1 (a i )AND y=c 2 S σ y=c 2 S This measure was extended in (Utgoff and Clouse, 1996) to handle target a...
Ngày tải lên: 04/07/2014, 05:21
Data Mining and Knowledge Discovery Handbook, 2 Edition part 19 potx
... (Crawford et al., 20 02) . Decision trees are useful for many application domains, such as: Manufacturing lr18,lr14, Security lr7,l10 and Medicine lr2,lr9, and for many data mining tasks, 9 Classification ... entire dataset. However, this method also has an upper limit for the largest dataset that can be processed, because it uses a data structure that scales with the dataset size...
Ngày tải lên: 04/07/2014, 05:21
Data Mining and Knowledge Discovery Handbook, 2 Edition part 21 pot
... quan- tity: p(D|M hi )= 1 (2 π ) n /2 detR 1 /2 io detR 1 /2 in Γ ( ν in /2) Γ ( ν io /2) ( ν io σ 2 io /2) ν io /2 ( ν in σ 2 in /2) ν in /2 and the parameters are specified by the next updating rules: α i1n = ν io /2 +n /2 1/ α i2n =(− β T in R in β in + ... Abad, and Marco F. Ramoni and the marginal likelihood of each local dependency is p(D|M hi )= Γ ((n −p(i)...
Ngày tải lên: 04/07/2014, 05:21
Data Mining and Knowledge Discovery Handbook, 2 Edition part 26 pot
... and Chapelle, 20 00). O. Maimon, L. Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/978-0-387-09 823 -4_ 12, © Springer Science+Business Media, LLC 20 10 ... the same linear 23 0 Richard A. Berk Dasu, T., and T. Johnson (20 03) Exploratory Data Mining and Data Cleaning. New York: John Wiley and Sons. Christianini, N and J. Sh...
Ngày tải lên: 04/07/2014, 05:21
Data Mining and Knowledge Discovery Handbook, 2 Edition part 33 pot
... basket data (Agrawal and Srikant, 1995) • Causes of plan failures (Zaki, 20 01) • Web personalization (Mobasher et al., 20 02) • Text data (Brin et al., 1997A,Delgado et al., 20 02) • Publication databases ... antecedent X 2 being as large as possible (or 15 Association Rules 303 {1, 2, 3} {1, 2} {1, 3} {2, 3} {1} {2} {3} { } 3 23 123 root 3 Fig. 15.1. Itemset lattice and...
Ngày tải lên: 04/07/2014, 05:21
Data Mining and Knowledge Discovery Handbook, 2 Edition part 37 potx
... ACDE BCDE ACE ADE ABDE BCE BDE CDE DECEBC BD BE EDCB O / 2 2 3 2 4 3 32 4 22 3 1 12 543 22 2 3 111 11 11 11 D = TID Transaction 1 ABCDE 2 ABCD 3 ABE 4 ACD 5 CD 6 CE Fig. 17.1. This figure shows the ... al., 20 00,Boulicaut et al., 20 03), the disjunction-free sets (Bykowski and Rigotti, 20 03), the non-derivable itemsets (Calders and Goethals, 20 02) , the frequent pattern b...
Ngày tải lên: 04/07/2014, 05:21
Data Mining and Knowledge Discovery Handbook, 2 Edition part 47 potx
... ; 21 :20 3 -22 4. Klein B.D., Rossin D. F. (1999), Data quality in neural network models: effect of error rate and magnitude of error on predictive accuracy. Omega ; 27 :569-5 82. Kohonen T. (19 82) , ... granulation. 22 Granular Computing and Rough Sets - An Incremental Development 447 and component based design and programming (Szyperski, 20 02) ), in artificial intel- ligence...
Ngày tải lên: 04/07/2014, 05:21