Data Mining and Knowledge Discovery Handbook, 2 Edition part 76 pptx
Data Mining and Knowledge Discovery Handbook, 2 Edition part 76 pptx
... left part of Figure 39.1 for twoO. Maimon, L. Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/978-0-387-09 823 -4_37, © Springer Science+Business Media, LLC 20 10 ... on Principles and Practice of Knowledge Discovery in Databases, 20 00.Todorovski, L., Dzeroski, S. Combining Classifiers with Meta Decision Trees. MachineLearning 50 (3), 22 3 -25 0, 20 03.37 Bias ... =σ 2 R(x)+bias 2 R(x)+varR(x)by defining:σ 2 R(x)=Ey|x[(y − fb(x)) 2 ], (37 .2) bias 2 R(x)=(fb(x) − favg(x)) 2 , (37.3)var 2 R(x)=ES[(I(S)(x) − favg(x)) 2 ]. (37.4)This...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 3 pptx
... and reliability). The internet and intranet fast development in particular pro-O. Maimon, L. Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/978-0-387-09 823 -4_1, ... understanding phenomena from the data, analysis and prediction.The accessibility and abundance of data today makes Knowledge Discovery and Data Mining a matter of considerable importance and necessity. ... means), and analysis of variance (ANOVA). These methods areless associated with Data Mining than their discovery- oriented counterparts, because1 Introduction to Knowledge Discovery and Data Mining...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 5 pptx
... analyze, and investigate such very large data sets hasgiven rise to the fields of Data Mining (DM) and data warehousing (DW). Withoutclean and correct data the usefulness of Data Mining and data ... examiningdatabases, detecting missing and incorrect data, and correcting errors. Other recentwork relating to data cleansing includes (Bochicchio and Longo, 20 03, Li and Fang,1989). Data Mining ... issue: knowledge bases (Lee et al., 20 01), regular expressionmatches and user-defined constraints (Cadot and di Martion, 20 03), filtering (Sunget al., 20 02) , and others (Feekin, 20 00, Galhardas, 20 01,...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 25 pptx
... Classification Systems,” Journal of Criminology and Public Policy, 2, No. 2: 21 5 -24 2.Breiman, L., Friedman, J.H., Olshen, R.A., and C.J. Stone, (1984) Classification and Regres-sion Trees. Monterey, Ca: ... into an upper and lower part. Theupper left partition and the lower right partition are perfectly homogeneous. Thereremains considerable heterogeneity in the other two partitions and in principle, ... Learning 26 : 123 -140.Breiman, L. (20 00) “Some Infinity Theory for Predictor Ensembles.” Technical Report 522 ,Department of Statistics, University of California, Berkeley, California.Breiman, L. (20 01a)...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 38 pptx
... IDEAS’01,pages 322 – 329 , 20 01.C. Bucila, J. E. Gehrke, D. Kifer, and W. White. Dualminer: A dual-pruning algorithm foritemsets with constraints. Data Mining and Knowledge Discovery, 7(4) :24 1 27 2, 20 03.D. ... association rules. Data Mining and Knowledge Discovery, 2( 2):195 22 4, 1998.T. Mitchell. Generalization as search. Artificial Intelligence, 18 (2) :20 3 22 6, 1980.R. Ng, L. V. Lakshmanan, J. Han, and A. Pang. ... (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/978-0-387-09 823 -4_18, © Springer Science+Business Media, LLC 20 10 17 Constraint-based Data Mining 353F. Bonchi and C....
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 61 pptx
... %1 10, 326 9,9 72 0 354 99. 72 30K 12s. 2 11,751 0 10,000 1,751 1003 7, 923 28 0 7,895 78.951 103,331 99,868 0 3,463 99.86300K 56s. 2 117 ,29 7 0 100,000 17 ,29 7 1003 79,3 72 1 32 0 79 ,24 0 79 .24 1 1,033,795 ... 1,033,795 998,6 32 0 35,163 99.863M 485s. 2 1,1 72, 895 0 999,999 173,896 99.993 793,310 1,368 0 791,9 42 79.191 10,335, 024 9,986,110 22 348,897 99.8630M 4,987s. 2 11, 722 ,887 0 9,999,970 1, 722 ,917 99.993 ... and G. Hulten. Mining High-Speed Data Streams. In Proceedings of the SixthACM-SIGKDD International Conference on Knowledge Discovery and Data Mining, Boston, MA, 20 00.C. Faloutsos and V. Gaede....
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 74 pptx
... (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/978-0-387-09 823 -4_36, © Springer Science+Business Media, LLC 20 10 35 Privacy in Data Mining 7110 20 4060801000 20 406080100Risk/Utility ... Science43 02 233 -24 2.Torra, V., Domingo-Ferrer, J. (20 03) Record linkage methods for multidatabase data mining, in V. Torra (ed.) Information Fusion in Data Mining, Springer, 101-1 32. Torra, ... Continuous and Heterogeneous k-AnonymityThrough Microaggregation, Data Mining and Knowledge Discovery 11 :2 195 -21 2.Duncan, G. T., Keller-McNulty, S. A., Stokes, S. L. (20 01) Disclosure risk vs. data...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 93 pptx
... Conference on Knowledge Discovery and Data Mining, pages 30–36. AAAI Press, Menlo Park, CA, 1998.Dehaspe L. and Toivonen H., Discovery of frequent datalog patterns. Data Mining and Knowledge Discovery, ... and Verkamo A. I., Fast discovery ofassociation rules. In U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy,editors, Advances in Knowledge Discovery and Data Mining, pages 307– 328 . ... related topic of using ILP for KDD: AppliedArtificial Intelligence (vol. 12( 5), 1998), and Data Mining and Knowledge Discovery (vol.3(1), 1999).Many papers related to RDM appear in the ILP...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 107 pptx
... commerce, ever-expanding computer systems and mandated record keepingO. Maimon, L. Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/978-0-387-09 823 -4_55, © Springer ... series databases (for reasons discussed below).Below are the major task considered by the time series Data Mining community.O. Maimon, L. Rokach (eds.), Data Mining and Knowledge Discovery Handbook, ... customer and partner relationships and a sustainable competitive advantage.55.3 ODM versus Data Mining Data Mining is the process of discovering and interpreting previously unknown patterns indatabases....
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 109 pptx
... Transform(DWT) (Chan and Fu, 1999, Kahveci and Singh, 20 01, Wu et al., 20 00), Piecewise Linear, and Piecewise Constant models (PAA) (Keogh et al., 20 01, Yi and Faloutsos, 20 00), AdaptivePiecewise ... series Data Mining and monitoring, the problem of detecting anomalous/surprising/novelpatterns has attracted much attention (Dasgupta and Forrest, 1999,Ma and Perkins, 20 03,Sha-habi et al., 20 00). ... al., 20 04)Chotirat Ann Ratanamahatana et al.56 Mining Time Series Data 1063time series into a symbolic representation, and encodes the data in a modified suffix tree inwhich the frequency and...
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