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XL
Miner |
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Introduction
XLMinerTM
is a comprehensive data mining add-in for Excel. Data mining
is a discovery-driven data analysis technology used for identifying
patterns and relationships in data sets. XLMinerTM is a tool
belt to help you get quickly started on data mining, offering
a variety of methods to analyze your data. It has extensive
coverage of statistical and machine learning techniques for
classification, prediction, affinity analysis and data exploration
and reduction. |
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XLMiner
Capabilities
XLMiner provides a comprehensive set of analysis features based both
on statistical and machine learning methods. A problem or a data set
can be analyzed by several methods. It is usually a good idea to try
different approaches, compare their results, and then choose a model
that suits the problem well.
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Output
presentation and graphics
XLMiner provides special graphics to enhance the understanding of
the data and the analysis outcomes. For instance, tree diagrams in
classification and regression trees, and dendrograms in hierarchical
clustering give very useful insights.
In conjunction with XLMiner outputs, you can use Excel's built-in
features to work with the output. For instance, histograms, scatter
plots and bubble plots are very useful to provide an insight into
the data and the fitted outcomes. Lift charts and gain charts can
be easily generated from XLMiner outputs to see the benefit produced
by the data mining exercise.
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XL
Miner Features
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Partitioning into
training, validation, and test datasets |
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Multiple linear regression
with subset selection |
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Logistic regression
with subset selection |
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Discriminant analysis |
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Naïve Bayes classification |
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Classification and
regression trees |
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k-Nearest neighbors |
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Neural networks |
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Association rules |
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Principal components |
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k-Means clustering |
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Hierarchical clustering |
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For more information
log on to www.xlminer.net |
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