Think
EDM Release 7.0
Components
Components form the basic building blocks for defining a knowledge discovery process. Each component performs a specific task, such as data reduction, data mining or visualization, and the Think EDM platform provides the ability to link a series of components together to perform a complete analytical process. The component groups include Data Access, Data Reduction, Data Transformation, Association, Classification, Clustering, Principal Component Analysis, Regression, Statistics, Visualization, XML Transformations, SAS Connectors, EAI, Email and External Applications.
Listed below is some of the new functionality
included in Think EDM 7.0:
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Support for Random, Systematic, Cluster and Stratified sampling
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Addition of Simple, Linear and Holt-Winters Exponential Smoothing forecasting
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Integration with statistical product 'R'
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Addition of One and Two Sample Kolmogorov-Smirnov (K-S) Test, One Way ANOVA and ChiSquare Independence Test
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Added support for ChiSquare, F, Lognormal, Normal, StudentT, Exponential, Weibull, Pareto, and Poisson distributions
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Extensive support for probability distribution data generation, sampling, estimation lookup and comparison.
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Added support for financial risk analysis using Monte Carlo simulation to study confidence limits in distribution analysis.
In addition, existing components have been updated to provide
additional functionality, improve performance and ease of
use.