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Decision Support Systems Data Analysis and OLAP Data Warehousing Data Mining

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1 Mathematical Preliminaries and Error Analysis 2 Solutions of Equations in One Variable 3 Interpolation and Polynomial Approximation 4 Numerical Differentiation and Integration 5 Initial-Value Problems for Ordinary Differential Equations 6 Direct Methods for Solving Linear Systems 7 IterativeTechniques in Matrix Algebra 8 ApproximationTheory 9 Approximating Eigenvalues 10 Numerical Solutions of Nonlinear Systems of Equations 11 Boundary-Value Problems for Ordinary Differential Equations 12 Numerical Solutions to Partial Differential Equations

7.1 Introduction to amortized analysis 7.2 Aggregate method 7.3 Accounting method 7.4 Potential method 7.5 Dynamic tables

 4.1 The basic concept of association rules  4.2 Low-dimensional binary association rules  4.3 Multi-level association rules  4.4 Multidimensional association rules  4.5 The Affinity analysis based on the association mining

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1.1 Definition of algorithm 1.2 Insertion sort and merge sort 1.3 Running time and asymptotic analysis 1.4 Θ-notation, Ω-notation, and O-notation 1.5 Recurrences 1.6 Substitution, recursion-tree method, and master method