Data Mining and Knowledge Discovery Handbook, 2 Edition part 41 pps
Data Mining and Knowledge Discovery Handbook, 2 Edition part 1 pps
... Rokach Editors Data Mining and Knowledge Discovery Handbook Second Edition 12 3 Contents 1 Introduction to Knowledge Discovery and Data Mining Oded Maimon, Lior Rokach 1 Part I Preprocessing Methods 2 Data ... neural networks, and evolutionary algorithms. Parts five and six present supporting and advanced methods in Data Mining, such as statistical me...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 4 ppsx
... in data mining, Data Mining and Knowledge Discovery, 15(1):87-97, 20 07. Larose, D.T., Discovering knowledge in data: an introduction to data mining, John Wiley and Sons, 20 05. Maimon O., and ... Pub, 20 05. Wu, X. and Kumar, V. and Ross Quinlan, J. and Ghosh, J. and Yang, Q. and Motoda, H. and McLachlan, G.J. and Ng, A. and Liu, B. and Yu, P.S. an...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 7 ppsx
... 5 ,7} = {4}, K A (5)={1,4,5}∩ {2, 4,5, 7} = {4,5}, K A (6)={6 ,7} ∩ {2, 4,6,8}∩{1, 3, 6} = {6}, K A (7) ={6 ,7} ∩{3 ,7} ∩ {2, 4,5, 7} = {7} , and K A (8)= {2, 4,6,8}. and for Table 3.15 and B = A, K A (1)={1,3,4,5,8}∩{1, ... is known and ρ (x,a)=v. For Table 3.1 and B = A, K A (1)={1,4,5}∩{1,3,6} = {1}, K A (2) = {2} ∩ {2, 4,6,8}∩ {2, 4, 5, 7} = {2} , K A (3)={3 ,7} ∩{1,3,6} =...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 12 ppsx
... Springer, pp. 178-196, 20 02. Maimon, O. and Rokach, L., Decomposition Methodology for Knowledge Discovery and Data Mining: Theory and Applications, Series in Machine Perception and Artificial In- telligence ... lr18,lr14, Security lr7,l10 and Medicine lr2,lr9, and for many data mining techniques, such as: decision trees lr6,lr 12, lr15, clustering lr13,lr8, ensemble...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 16 ppsx
... Conference on Data- mining (ICDM’ 02) , Maebashi City, Japan, CSIRO Technical Report CMIS- 02/ 1 02, 20 02. Williams G. J., Huang Z., Mining the knowledge mine: The hot spots methodology for mining large ... Quality Technology, 27 (4), 28 3 -29 2, 1995. Ruts I., Rousseeuw P., ”Computing Depth Contours of Bivariate Point Clouds,” In Compu- tational Statistics and Data Analysis,...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 17 ppsx
... 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: ... 14: 2, 24 1-301, 20 02. Shafer, J. C., Agrawal, R. and Mehta, M. , SPRINT: A Scalable Parallel Classifier for Data Mining, Proc. 22 nd Int. Conf...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 22 pps
... (Sebastiani and Ramoni, 20 00, Sebastiani and Ramoni, 20 01B) to customer profiling (Sebastiani et al., 20 00) and bioinformatics (Friedman, 20 04,Sebastiani et al., 20 04 ,2) . Here we describe two Data Mining ... = ∑ i {log( σ 2 i0 / σ 2 i0 ) −(y i − μ i1 ) 2 / σ 2 i1 +(y i − μ i0 ) 2 / σ 2 i0 } where y i is the value of attribute i in the new sample to classify a...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 30 ppsx
... as: d(x i ,x j )=(w 1 x i1 −x j1 g + w 2 x i2 −x j2 g + +w p x ip −x jp g ) 1/g where w i ∈ [0,∞) 27 8 Lior Rokach can be interpreted as agreements, and b and c as disagreements. The Rand index is defined as: RAND ... + b + c + d The Rand index lies between 0 and 1. When the two partitions agree perfectly, the Rand index is 1. A problem with the Rand index is t...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 31 pps
... (Farley and Raftery, 1998): an “E-step”, in which the conditional expectation of the complete data likelihood given the observed data and the current parameter estimates is computed, and an “M-step”, ... Bernoulli, Poisson, and log-normal distributions (Cheese- man and Stutz, 1996). Other well-known density-based methods include: SNOB (Wallace and Dowe, 1994) and MCLUST (Far...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 32 pps
... Number 2, 20 05b, pp 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 ... Information and Knowledge Systems, Lecture Notes in Computer Science, Springer, pp. 178-196, 20 02. Maimon, O. and Rokach, L., Decomposition Methodology for Kno...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 36 pps
... on Knowledge Discovery and Data Mining. ACM Press. Zaki, M. (20 00). Scalable algorithms for association mining. IEEE Transactions on Knowl- edge and Data Engineering, 12( 3):3 72 390. Zaki, M. and ... since he/she specifies the data and/ or pat- terns of interests. O. Maimon, L. Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/9...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 41 pps
... let n = 4 and K = 2, and consider the individuals < 121 2> and < ;21 21>. These two individuals have different gene values in all the four genes, but they repre- sent the same candidate ... for large data sets, since each individ- 19 A Review of Evolutionary Algorithms for Data Mining 387 attribute construction proposed by (Krawiec 20 02; Smith and Bull 20 03; Firp...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 42 ppsx
... Nature VIII (PPSN- 20 04), LNCS 324 2, 1133-11 42. Springer, 20 04. Jourdan L, Dhaenens-Flipo C and Talbi EG (20 03) Discovery of genetic and environmental interactions in disease data using evolutionary ... Kluwer. Freitas AA (20 01) Understanding the crucial role of attribute interaction in data mining. Artificial Intelligence Review 16(3), 177-199. Freitas AA (20 02a) Data...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 45 ppsx
... algorithm, originated from Widrow and Hoff’s 21 Neural Networks For Data Mining 429 in-sample and out-of-sample if the data size is very large. Typical split in data mining applications reported in ... useful data mining model. There are several practical issues around the data requirement for a neural net- work model. The first is the data quality. As data sets used...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 53 ppsx
... with data mining. Since fuzzy O. Maimon, L. Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/978-0-387-09 823 -4 _24 , © Springer Science+Business Media, LLC 20 10 23 ... Conference on Data Mining, IEEE Computer Society Press, pp. 473–480, 20 01. Rokach L and Maimon O (20 05), Clustering Methods, Data Mining and Knowledge Discov...
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