Data Mining and Knowledge Discovery Handbook, 2 Edition part 113 pptx
Data Mining and Knowledge Discovery Handbook, 2 Edition part 130 doc
... 703Regression, 133, 514, 529 , 563linear, 95, 185, 21 0, 529 , 5 32, 564, 644,744, 121 2, 127 3logistic, 97, 21 8, 22 6, 527 , 531, 5 32, 645, 647, 849, 850, 10 32, 1154, 120 0, 120 1, 120 5, 121 2, 127 3stepwise, 189Regression,linear, ... 34, 88, 92, 94, 1 12, 135, 151, 163,795, 798, 881, 899, 907, 961, 9 72, 10 12, 1118, 1198, 127 3CART, 510CART (Classification and regression trees),34, 151, 163, 164, 22 0, 22 2, 22 4 22 6,899, 907, ... average(ARIMA), 122 , 527 , 1154, 1156AUTOCLASS, 28 3Average-link clustering, 27 9Bagging, 20 9, 22 6, 645, 744, 801, 881, 960,965, 966, 973, 1004, 121 1, 127 2, 127 3Bayes factor, 183Bayes’ theorem, 1 82 Bayesian...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 1 pps
... RokachEditors Data Mining and Knowledge Discovery HandbookSecond 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, 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 2 pptx
... Contents XI 24 Using Fuzzy Logic in Data Mining Lior Rokach 505 Part V Supporting Methods 25 Statistical Methods for Data Mining Yoav Benjamini, Moshe Leshno 523 26 Logics for Data Mining Petr ... Determining What Is InterestingSigal Sahar 60331 Quality Assessment Approaches in Data Mining Maria Halkidi, Michalis Vazirgiannis 613 32 Data Mining Model ComparisonPaolo Giudici 64133 Data Mining ... 1049 Part VII Applications57 Multimedia Data Mining 58 Data Mining in MedicineNada Lavraˇc, Blaˇz Zupan 111159 Learning Information Patterns in Biological Databases - Stochastic Data Mining Gautam...
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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 -38 7-09 8 23 -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
... (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. ... 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....
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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 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 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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Data Mining and Knowledge Discovery Handbook, 2 Edition part 113 pptx
... Wang, J. (20 02) . IEEE Trans. on PAMI 24 , 125 2– 126 7.Chen, Y., Wang, J. & Krovetz, R. (20 03). In the 5th ACM SIGMM International Workshopon Multimedia Information Retrieval pp. 193 20 0,, Berkeley, ... Barbara, CA.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. ... 4(1):57-78, 20 08.Rokach, L. and Maimon, O. and Averbuch, M., Information Retrieval System for MedicalNarrative Reports, Lecture Notes in Artificial intelligence 3055, page 21 7 -22 8 Springer-Verlag, 20 04.57...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 127 pptx
... parallel data mining. Data mining primarily deals with structured data. Text mining mostly handles unstructured data/ text. Web mining lies in between and copes with semi-structured data and/ or ... exploratory data analysis and various data mining tech-niques. Kim et al. (20 08) classify software changes in data mining and Ceccato et al. (20 06)combine three mining techniques. Nayak (20 08) develops ... mining, text mining, and web mining that are not available as free open source software. The selectedO. Maimon, L. Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI...
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