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Data Mining and Knowledge Discovery Handbook, 2 Edition part 72 potx

Data Mining and Knowledge Discovery Handbook, 2 Edition part 72 potx

Data Mining and Knowledge Discovery Handbook, 2 Edition part 72 potx

... (Defays and Nanopoulos, 1993) defined for numericalatributes (see also (Domingo and Mateo, 20 02) ) and later extended to categorical data (Torra, 20 04) (see also (Domingo-Ferrer and Torra, 20 05)) and ... privacy and efficiency.35 .2. 2 Data- driven Protection ProceduresGiven a data set, data- driven protection procedures construct a new data set so that the newone does not permit a third party to ... series (Nin and Torra, 20 06).(Felso et al., 20 01) shows that microaggregation is a method used by many statisticalagencies, and (Domingo-Ferrer and Torra, 20 01b) shows that, for numerical data, is...
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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 10.1007/978-0-387-09 823 -4_4, © Springer Science+Business Media, LLC 20 10 50 Jerzy W. Grzymala-Busse and Witold J. Grzymala-BusseGrzymala-Busse ... Newsletter 4 (20 02) 21 – 30.Wu X. and Barbara D. Modeling and imputation of large incomplete multidimensionaldatasets. Proc. of the 4-th Int. Conference on Data Warehousing and Knowledge Dis-covery, ... thenvn≡1mm∑i=1((xi−μ) ·n) 2 =1mm∑i=1θ 2 i(4 .2) and that along some other unit direction nisvn≡1mm∑i=1((xi−μ) ·n) 2 =1mm∑i=1θ 2 i(n ·n) 2 (4.3)Since (n ·n) 2 = cos 2 φ,...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 19 potx

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: Manufacturinglr18,lr14, Security lr7,l10 and Medicine lr2,lr9, and for many data mining tasks,9 Classification ... entire dataset. However, this methodalso has an upper limit for the largest dataset that can be processed, because it uses a data structure that scales with the dataset size and this data structure ... in the main memory. Chan and Stolfo (1997)suggest partitioning the datasets into several disjointed datasets, so that each datasetis loaded separately into the memory and used to induce a decision...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 37 potx

Data Mining and Knowledge Discovery Handbook, 2 Edition part 37 potx

... ACDE BCDEACE ADEABDEBCE BDE CDEDECEBC BD BEEDCBO/ 2 23 2 43 32 4 22 31 12 543 22 23111111111D =TIDTransaction1 ABCDE 2 ABCD3ABE4ACD5CD6CEFig. 17.1. This figure shows the ... Boulicaut and Bykowski, 20 00)), the frequent free itemsets and theδ-free itemsets (Boulicaut et al., 20 00,Boulicaut et al., 20 03), the disjunction-free sets (Bykowski and Rigotti, 20 03),the ... constraints and the various strategies which have been proposed. Sec-tion 17.5 concludes and points out the actual directions of research.17 .2 Background and NotationsGiven a database D, a...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 47 potx

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,butonly in an epsilon step away from partitioning method. 22 .2. 2 Knowledge Level Processing and Computing with WordsThe information in each granule is summarized and the ... granulation. 22 Granular Computing and Rough Sets - An Incremental Development 447 and component based design and programming (Szyperski, 20 02) ), in artificial intel-ligence (Hobbs, 1985, Zhang and Zhang,...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 48 potx

Data Mining and Knowledge Discovery Handbook, 2 Edition part 48 potx

... 22 .3, we have Table 22 .4 and Table 22 .5; theyare isomorphic. Table 22 .5 provides the topology of Table 22 .4. Table 22 .4 and 22 .5provide 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 areshown in Table 22 .2. Table 22 .2. Granular ... relations. 22 .6.1 Relational Tables and Partitions(Pawlak, 19 82) and (Lee, 1983) observed that: A relational table is a knowledge rep-resentation of a universe of entities. Each column induces a partition...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 49 potx

Data Mining and Knowledge Discovery Handbook, 2 Edition part 49 potx

... scientists and engineers allO. 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 and accurate partitioning of huge datasets, ... 1989a, 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 are many strong applications in database, Data Mining, and security...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 54 potx

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 Discovery and Data Mining: Theory and ... inProc. 2nd IEEE Int. Conf. Fuzzy Systems, 1993, pp. 7 12. Maimon O., and Rokach, L. Data Mining by Attribute Decomposition with semiconductorsmanufacturing case study, in Data Mining for Design and...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 55 potx

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 Media, LLC 20 10 ... computers and the requisite software, low-cost database technology (for collecting and storing data) and the ample data that has been and continues to be collected and organized in databases and onthe...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 56 potx

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 beloware used to measure the goodness of fit.R 2 =∑Mi=1( ˆyi−y) 2 ∑Mi=1(yi−y) 2 = 1 −RSSkSST (25 .9)Adjusted-R 2 = 1 −(1 −R 2 )M −1M −k −1 (25 .10)We ... k. They include (Abramovich and Benjamini, 1996,Birge and Massart, 20 01, Abramovich et al., 20 01, Tibshirani, 1996, George and Foster, 20 00), and (Foster et al., 20 02) . As a full review is beyond...
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