Data Mining and Knowledge Discovery Handbook, 2 Edition part 31 pps
Data Mining and Knowledge Discovery Handbook, 2 Edition part 31 pps
... (Farley and Raftery, 1998): an “E-step”, in which theconditional 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 (Farley and Raftery, 1998).Density-based ... achieve data abstraction. A majority of the approaches and algorithms proposed in the literaturecannot handle such large data sets. Approaches based on genetic algorithms, tabusearch and simulated...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 1 pps
... RokachEditors Data Mining and Knowledge Discovery HandbookSecond Edition 123 Contents1 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, suchas statistical methods for Data Mining, logics for Data Mining, DM query ... today’s abundance of data. Knowledge Discovery in Databases (KDD) is the process of identifying valid,novel, useful, and understandable patterns from large datasets. Data Mining (DM)is the mathematical...
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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. and others, Top 10 algorithms in data mining, ... 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:...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 7 ppsx
... Foundations and New Directions in Data Mining, as-sociated with the third IEEE International Conference on Data Mining, Melbourne, FL,November 1 922 , 24 –30, 20 03A.Dardzinska A. and Ras Z.W. On rule discovery ... (Dardzinska and Ras, 20 03A,Dardzinska and Ras, 20 03B).Learning missing attribute values from summary constraints was reported in (Wu and Barbara, 20 02, Wu and Barbara, 20 02) . Yet another approach to handling ... Foundations and New Directions in Data Mining, asso-ciated with the third IEEE International Conference on Data Mining, Melbourne, FL,November 1 922 , 31 35, 20 03B.Greco S., Matarazzo B., and Slowinski...
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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 ... Kaufmann, 1996.Maimon O., and Rokach, L. Data Mining by Attribute Decomposition with semiconductorsmanufacturing case study, in Data Mining for Design and Manufacturing: Methods and Applications, D. ... 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, ensemblemethods lr1,lr4,lr5,lr16 and genetic algorithms...
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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 ... phenomena).When data is limited, it is common practice to re-sample the data, that is, partitionthe data into training and test sets in different ways. An inducer is trained and testedfor each partition and ... Maimon, L. Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/978-0-387-09 823 -4_8, © Springer Science+Business Media, LLC 20 10 Department of Industrial Engineering,...
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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. Very Large Databases, T. M. Vijayaraman and AlejandroP. ... 20 04.Buja, A. and Lee, Y.S., Data Mining criteria for tree based regression and classification, Pro-ceedings of the 7th International Conference on Knowledge Discovery and Data Mining, (pp 27 -36),...
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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) −(yi−μi1) 2 /σ 2 i1+(yi−μi0) 2 /σ 2 i0}where yiis the value of attribute i in the new sample to classify and the parametersσ 2 ik and μikare the variance and ... analysis of survey data would be to employ Data Mining tools to generate hypothesis and hence to make new discoveries in anautomated way (Hand et al., 20 01, Hand et al., 20 02) .As an example,...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 30 ppsx
... as:d(xi,xj)=(w1xi1−xj1g+ w 2 xi2−xj2g+ +wpxip−xjpg)1/gwhere wi∈ [0,∞) 27 8 Lior Rokachcan be interpreted as agreements, and b and c as disagreements. The Rand index isdefined as:RAND ... + b + c + dThe Rand index lies between 0 and 1. When the two partitions agree perfectly, theRand index is 1.A problem with the Rand index is that its expected value of two random cluster-ing ... thesame cluster in C 2 , but not in the same cluster in C1; and d be the number of pairs ofinstances that are assigned to different clusters in C1 and C 2 . The quantities a and d 27 6 Lior RokachJd=|SW|=K∑k=1Sk•...
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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 ... Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/978-0-387-09 823 -4_15, © Springer Science+Business Media, LLC 20 10 14 A survey of Clustering Algorithms 29 3Other ... 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...
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