Data Mining and Knowledge Discovery Handbook, 2 Edition part 57 potx
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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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...
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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 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...
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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 ... Boulicaut and Bykowski, 20 00)), the frequent free itemsets and the δ -free itemsets (Boulicaut et al., 20 00,Boulicaut et al., 20 03), the disjunction-free sets (Bykowski and...
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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) , ... on non-partition theory,but only in an epsilon step away from partitioning method. 22 .2. 2 Knowledge Level Processing and Computing with Words The information in each granule is...
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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. 458 ... use the same partition and naming scheme as in the previous sec- tion; so the third column is exactly the same as that in Table 22 .1. The results are shown in Tab...
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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 10.1007/978-0-387-09 823 -4 _23 , © Springer Science+Business Media, LLC 20 10 22 Granular ... modeling data and thus plays a central role in the pro- cess of knowledge discovery and data mining. Data mining tasks, in these days, require fast...
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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. 178-196, 20 02. Maimon, O. and Rokach, L., Decomposition Methodology for Knowledge...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 55 potx
... 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: ... and O. Maimon, L. Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/978-0-387-09 823 -4 _25 , © Springer Science+Business M...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 56 potx
... 87:731–748. Hand D., (1998). Data Mining: Statistics and more? The American Statistician, 52: 1 12 118. Hand D., Mannila H. and Smyth P., (20 01). Principles of Data Mining. MIT Press. Han J. and Kamber ... 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 (25 .9) Adjusted-R 2...
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