Data Mining and Knowledge Discovery Handbook, 2 Edition part 8 potx
Data Mining and Knowledge Discovery Handbook, 2 Edition part 8 potx
... Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/9 78- 0- 387 -09 82 3 -4_4, © Springer Science+Business Media, LLC 20 10 50 Jerzy W. Grzymala-Busse and Witold J. Grzymala-Busse Grzymala-Busse ... such directions, and we cannot hope to uncover such structure using one dimensional projections. −1 −0 .8 −0.6 −0.4 −0 .2 0 0 .2 0.4 0.6 0 .8...
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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 lr 18, 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...
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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...
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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 ) , ... Sciences; 79 (8) :25 54 -25 58. 4 48 Tsau Young (’T. Y.’) Lin and Churn-Jung Liau 22 .3 A Geometric Models of Information Granulations For understanding the general idea, in th...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 48 potx
... 22 .3, we have Table 22 .4 and Table 22 .5; they are isomorphic. Table 22 .5 provides the topology of Table 22 .4. Table 22 .4 and 22 .5 provide a better interpretation than that of Table 22 .2 and 22 .3. 4 58 ... and 22 .3. 4 58 Tsau Young (’T. Y.’) Lin and Churn-Jung Liau U H_RED H_Red+Yellow H_Yellow 1, 2, 3, 4, 5 1, 2, 3, 4, 5, 6, 7, 8, 9 4, 5, 6, 7, 8, 9...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 49 potx
... scientists and engineers all O. Maimon, L. Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/9 78- 0- 387 -09 82 3 -4 _23 , © Springer Science+Business Media, LLC 20 10 22 Granular ... 1 988 , Lin, 1 989 a, Chu and Chen, 19 92, Raghavan, 1995, Miyamoto, 20 04, Liu, 20 04, Grzymala-Busse, 20 04, Wang, 20 04,Yao, 20 04, Yao, 20 04). There...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 54 potx
... Komem and Moti Schneider, On the Use of Fuzzy Logic in Data Mining, in The Data Mining and Knowledge Discovery Handbook, O. Maimon, L. Rokach (Eds.), pp. 517-533, Springer, 20 05. Maher P. E. and ... Information and Knowledge Systems, Lecture Notes in Computer Science, Springer, pp. 1 78- 196, 20 02. Maimon, O. and Rokach, L., Decomposition Methodology for Knowled...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 55 potx
... and O. Maimon, L. Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/9 78- 0- 387 -09 82 3 -4 _25 , © Springer Science+Business Media, LLC 20 10 ... 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 qu...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 56 potx
... selection. Biometrika, 87 :731–7 48. Hand D., (19 98) . Data Mining: Statistics and more? The American Statistician, 52: 1 12 1 18. Hand D., Mannila H. and Smyth P., (20 01). Principles of Data Mining. MIT Press. Han J. and ... R 2 and the adjusted R 2 defined below are used to measure the goodness of fit. R 2 = ∑ M i=1 ( ˆy i −y) 2 ∑ M i=1 (y i −y) 2 = 1 − RSS k SST...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 57 potx
... (a 1 ,b 1 ,c 1 ,d 1 ), (a 2 ,b 2 ,c 2 ,d 2 ) of four-fold tables: a 2 ≥ a 1 ,b 2 ≤ b 1 ,c 2 ≤ c 1 ,d 2 ≥ d 1 and Tr Q (a 1 ,b 1 ,c 1 ,d 1 )=1 implies Tr Q (a 2 ,b 2 ,c 2 ,d 2 )=1. In other words: ... if ψ 1 ¬ ψ 1 ϕ 1 a 1 b 1 ¬ ϕ 1 c 1 d 1 ψ 2 ¬ ψ 2 ϕ 2 a 2 b 2 ¬ ϕ 2 c 2 d 2 are four-fold tables of the pairs ( ϕ 1 , ψ 1 ), ( ϕ 2 , ψ 2 ) of open for...
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