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Data Mining and Knowledge Discovery Handbook, 2 Edition part 69 docx

Data Mining and Knowledge Discovery Handbook, 2 Edition part 130 doc

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

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

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

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 27 docx

Data Mining and Knowledge Discovery Handbook, 2 Edition part 27 docx

... Equations 12. 17- 12. 18 with the following equations:minw,b,e1 2 w 2 +γ1 2 n∑i=1e 2 i( 12. 29)Subject toyi·((w ·Φ(xi)) + b)=1 −ei,i = 1, ,n( 12. 30)Important differences with standard ... (Equation 12. 25) while replacing the quadraticfunction in Equation 12. 26 with a linear function subject to constraints on the errorof kernel expansion (Equation 12. 25).Suykens et al. (20 02) introduced ... details and tricks can be found in the literature (Platt, 1998, 12 Support Vector Machines 24 7Ratsch G., Onoda T., and Muller K.R. Soft margins for AdaBoost. Machine Learning 20 01; 42( 3) :28 7– 320 .Rifkin...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 35 docx

Data Mining and Knowledge Discovery Handbook, 2 Edition part 35 docx

... {100 ,20 0} 2 50%{chips} {100 ,20 0,400} 3 75%{pizza} {300,400} 2 50%{wine} {100,300} 2 50%{beer,chips} {100 ,20 0} 2 50%{beer,wine} {100} 1 25 %{chips,pizza} {400} 1 25 %{chips,wine} {100} 1 25 %{pizza,wine} ... alreadypresented before Eclat and its relatives.)The main difference in the Partition algorithm, compared to Apriori and Eclat, isthat the database is partitioned into several disjoint parts and the algorithm ... ascending orderimproves the distribution of the candidate sets within the used data structure (Borgelt and Kruse, 20 02) . Also, the number of candidate sets generated during the join stepcan...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 40 docx

Data Mining and Knowledge Discovery Handbook, 2 Edition part 40 docx

... greedy data mining methods(Freitas 20 02a; Dhar et al. 20 00; Papagelis & Kalles 20 01; Freitas 20 01, 20 02c).O. Maimon, L. Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., ... candidate conditions, the rule is still incomplete, beingjust a partial solution, so that the rule evaluation function is somewhat shortsighted(Freitas 20 01, 20 02a; Furnkranz & Flach 20 03).Another ... Algorithms (GAs) and Genetic Programming (GP). Then the chapter reviews the mainconcepts and principles used by EAs designed for solving several data mining tasks, namely: discovery of classification...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 43 docx

Data Mining and Knowledge Discovery Handbook, 2 Edition part 43 docx

... Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/978-0-387-09 823 -4 _20 , © Springer Science+Business Media, LLC 20 10 408 Oded Maimon and Shahar Cohen 20 .4 Extensions ... Construction and Selection, 307- 323 . Kluwer.Witten IH and Frank E (20 05) Data Mining: practical machine learning tools and techniques. 2nd Ed. Morgan Kaufmann.Wong ML and Leung KS (20 00) Data Mining ... analysis. In: Liu H and Motoda H (Eds.) Feature Extraction,Construction and Selection: a data mining perspective, 393-406. Kluwer.Terano T and Inada M (20 02) Data mining from clinical data using interactive...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 64 docx

Data Mining and Knowledge Discovery Handbook, 2 Edition part 64 docx

... Data, pages 26 5 27 6, Tucson, AZ, USA.Fayyad, U. M., Piatetsky-Shapiro, G., and Smyth, P. (1996). Advances in Knowledge Dis-covery and Data Mining, chapter 1: From Data Mining to Knowledge Discovery: ... Roddick, J. F. (20 00). Higher order mining: Modeling and mining the results of knowledge discovery. In Proceedings of the Second Conference on Data Mining Methods and Databases, pages 309– 320 , Cambridge, ... userO. Maimon, L. Rokach (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/978-0-387-09 823 -4_31, © Springer Science+Business Media, LLC 20 10 ...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 67 docx

Data Mining and Knowledge Discovery Handbook, 2 Edition part 67 docx

... (REG C)163.90 10 5.064 20 .134 22 .575 22 .679 163.90 20 5.064 12. 813 12. 813 14.033163.90 30 5.064 9.7 62 10.103 10 .29 3163.90 40 5.064 8 .23 7 8 .23 7 8.5 42 163.90 50 5.064 7. 322 7.383 7.445163.90 60 ... the validation dataset, with 1 629 enterprises 32 64 Data Mining Model Comparison9 and to compare it with the previous ones see, for instance, (Zucchini, 20 00) or (Hand et al., 20 01).A possible ... mentioned is that Data Mining results must be of some consequence. This means that constant attention must be given tobusiness results achieved with the data analysis models. 32. 2 Data Mining Model...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 69 docx

Data Mining and Knowledge Discovery Handbook, 2 Edition part 69 docx

... extension to SQL for mining association rules. Data Mining and Knowledge Discovery, 2( 2):195 22 4, 1998.K. Morik and M. Scholz. The Mining Mart approach to knowledge discovery in databases.In Intelligent ... In-ductive Queries, volume 26 82 of LNCS, pages 3 26 . Springer-Verlag, 20 04.J F. Boulicaut and B. Jeudy. Constraint-based Data Mining. In Data Mining and Knowledge Discovery Handbook. Chapter 16.7, ... (eds.), Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/978-0-387-09 823 -4_34, © Springer Science+Business Media, LLC 20 10 668 Grigorios Tsoumakas, Ioannis Katakis, and Ioannis...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 85 docx

Data Mining and Knowledge Discovery Handbook, 2 Edition part 85 docx

... Schler, Y., and Za-mir, O. (1998). Text Mining at the Term Level. Paper presented at the In Proceedings ofthe 2nd European Symposium on Principles of Data Mining and Knowledge Discovery, Nantes, ... Current Research and Practice in Informa-tion Extraction and Retrieval: 22 7 -24 2.Hayes, P. J., Andersen, P. M., Nirenburg, I. B., and Schmandt, L. M. (1990). Tcs: a shellfor content-based text ... 826 Moty Ben-Dov and Ronen FeldmanFig. 42. 7. Link Analysis – relations between Bin Laden and John Paul II. 42. 7 .2 Other Visualization and Analytical ApproachesThe...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 102 docx

Data Mining and Knowledge Discovery Handbook, 2 Edition part 102 docx

... 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: ... Data Mining and Knowledge Discovery Handbook, 2nd ed., DOI 10.1007/978-0-387-09 823 -4_ 52, © Springer Science+Business Media, LLC 20 10 51 Data Mining using Decomposition Methods 997Maimon O., and ... 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...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 110 docx

Data Mining and Knowledge Discovery Handbook, 2 Edition part 110 docx

... Conference on Knowledge Discovery and Data Mining; 20 00 Aug 20 -23 ; Boston , MA, pp. 81-90.Geurts, P. Pattern extraction for time series classification. Proceedings of Principles of Data Mining and Knowledge ... 4thInt’lConference on Knowledge Discovery and Data Mining; 1998 Aug 27 -31; New York,NY, pp 23 9 -24 1.Keogh, E. and Kasetty, S. On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical ... on Knowledge Discovery and Data Mining; 20 04 Aug 22 -25 ; Seattle, WA.Keogh, E., Pazzani, M. An enhanced representation of time series which allows fast and accurate classification, clustering and...
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Data Mining and Knowledge Discovery Handbook, 2 Edition part 123 docx

Data Mining and Knowledge Discovery Handbook, 2 Edition part 123 docx

... of Data Mining tools, especiallypredictive modeling and make wrong decisions. An example which is widely publicized is the1998 KDD (Knowledge Discovery in Databases) CUP. The KDD-CUP is a Data ... and McClelland, 1986), and the PDP 120 0 Nissan Levin and Jacob Zahavihigh enough the remainder of the segment is rolled out; otherwise, it is not. The thresholdlevel separating the strong and ... The KDD-CUP is a Data Mining com-petition that provides a forum for comparing and evaluating the performance of Data Mining tools on a predefined business problem using real data. The competition...
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