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Metody algebraiczne w zadaniach eksploracji danych na przy kładzie automatycznego ...    235

3.2.2. Przykład 1

Jako przy kład analizy LSA pokażemy zastosowanie jej do zadania automatycznego grupowania 75 tytułów książek z wydawnictwa SIAM pobranych z katalogu na rok 2010. Należą one do dwóch grup tematycznych: „Control & Systems Theory" oraz „Statistics". Zamieszczono je w tabeli 8. Ilustracja analizy LSA na przykładzie grupowania a nie wyszukiwania informacji jest uzasadniona tym, że przedstawiane dalej zadanie tworzenia podsumowań jest koncepcyjnie bardziej zbliżone do grupowania.

Tabela 8. 75 tytułów książek z wydawnictwa SIAM należących do dwóch różnych grup tematycznych (w nawiasach kwadratowych symbol grupy)

1    [S] Anthology of Statistics in Sports

2    [S] A First Course in Order Statistics

3    [S] Mathematica Laboratories for Mathematical Statistics: Emphasizing Simulation and Computer Intensive Methods

4    [S] Sonie Limit Theorems in Statistics

5    [S] Engineering Reliability

6    [SJ Mathematical Theoty of Reliability

7    [S] Russian-English / English-Russian Dictionary on Probability, Statistics. and Combinatorics

8    [S] Time Senes: Data Analysis and Theory

9    [S] Design and Analysis of Gauge R&R Studies: Making Decisions with Confidence Intenals in Random ANOVA

Models

10    [S] Scąucntial Analysis and Optimal Design

11    [S] Multh ariatc Splines

12    [S] Quantile Processes with Statistical Applications

13    [S] Statistical Case Studies for Industrial Process Improvement

14    [S] Selecting and Ordering Populations: A New Statistical Methodology

15    [S] Distribution Theory for Tests Based on the Sample Distribution Function

16    [S] The Jackknife. the Bootstrap. and Other Resampling Plans

17    [S] Multiple Decision Procedures: Theory and Methodology of Selecting and Ranking Populations

18    [S] Slianti S. Gupta and S. Panchapakcsan

19    [S] Basic Concepts of Probability and Statistics, Second Edition

20    [S] Robust Statistical Procedures. Second Edition

21    [S] The Structural Representation of Proximity Matrices with MATLAB

22    [S] Statistical Design and Analysis of Experiments

23    [S] Pitman’s Measure of Closeness

24    [S] Bayesian Nonparametrics via Neural Networks

25    [S] Bayesian Statistics. A Review

26    [S] Multivariate Statistical Process Control with Industrial Applications

27    [S] Eliciting and Analyzing Expert Judgment: A Practical Guide

28    [S] The Analy sis of Means: A Graphical Method for Comparing Means. Rates and Proportions

29    [S] Recurrent Events Data Analysis for Product Repairs. Disease Recurrence. and Other Applications

30    [S] Applied Adaptive Statistical Methods: Tests of Significance and Confidence Intenals

31    [S] Statistical Case Studies: A Collaboration Between Academe and Industry

32    [S] Optimal Design of Experiments

33    [S] Theory and Applications of Seąuential Nonparametrics

34    [S] Empirical Processes with Applications to Statistics

35    [S] A Primer for Sampling Solids. Liąuids and Gases: Based on the Seven Sampling Errors of Pierre Gy

36    [SJ Experimental Design for Formulation

37    [S] Nonparametric Function Estimation, Modeling, and Simulation

38    [S] Large Deviations and Applications

39    [S] Spline Models for Obsen ational Data

40    [C] Approximation of Large-Scale Dynamical Systems

41    [C] Control and Estimation in Distributed Parameter Systems

42    1C1 Dynamie Noncooperatiye Gamę Theoty. Second Edition_