package-use.html

数据挖掘方面最新软件

<TD>Meta learning schemes which uses other learning operators to increase the performance.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.learner.rules"><B>com.rapidminer.operator.learner.rules</B></A></TD>
<TD>Provides rule learners.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.learner.tree"><B>com.rapidminer.operator.learner.tree</B></A></TD>
<TD>Provides decision tree learners.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.learner.weka"><B>com.rapidminer.operator.learner.weka</B></A></TD>
<TD>Operators which encapsulate the learning schemes provided by Weka.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.meta"><B>com.rapidminer.operator.meta</B></A></TD>
<TD>Provides operators for experiment iteration, meta operators, and optimization.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.meta.branch"><B>com.rapidminer.operator.meta.branch</B></A></TD>
<TD>Provides operators for conditioned branching.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.olap"><B>com.rapidminer.operator.olap</B></A></TD>
<TD>This package contains some simple operators for basic OLAP analysis like grouping and aggregation.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.olap.aggregation"><B>com.rapidminer.operator.olap.aggregation</B></A></TD>
<TD>This package contains some aggregation functions which can be used by OLAP processing.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.performance"><B>com.rapidminer.operator.performance</B></A></TD>
<TD>Provides performance evaluating operators and performance criteria.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.performance.cost"><B>com.rapidminer.operator.performance.cost</B></A></TD>
<TD>This package contains cost-based performance evaluations.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.postprocessing"><B>com.rapidminer.operator.postprocessing</B></A></TD>
<TD>Operators for post processing, usually used for models.&nbsp;</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.preprocessing"><B>com.rapidminer.operator.preprocessing</B></A></TD>
<TD>Operators for preprocessing purposes.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.preprocessing.discretization"><B>com.rapidminer.operator.preprocessing.discretization</B></A></TD>
<TD>Contains discretization operators which can be used to transform numerical into nominal attributes.&nbsp;</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.preprocessing.filter"><B>com.rapidminer.operator.preprocessing.filter</B></A></TD>
<TD>Containing filter operators changing the input example set, e.g. by removing certain attributes or changing the data.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.preprocessing.filter.attributes"><B>com.rapidminer.operator.preprocessing.filter.attributes</B></A></TD>
<TD>This package contains the attribute filter.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.preprocessing.normalization"><B>com.rapidminer.operator.preprocessing.normalization</B></A></TD>
<TD>Preprocessing operators used for normalization.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.preprocessing.outlier"><B>com.rapidminer.operator.preprocessing.outlier</B></A></TD>
<TD>Operators for outlier detection.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.preprocessing.sampling"><B>com.rapidminer.operator.preprocessing.sampling</B></A></TD>
<TD>Preprocessing operators used for sampling.&nbsp;</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.preprocessing.weighting"><B>com.rapidminer.operator.preprocessing.weighting</B></A></TD>
<TD>This package methods for the weighting of examples.&nbsp;</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.similarity"><B>com.rapidminer.operator.similarity</B></A></TD>
<TD>Basic framework for similarities.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.similarity.attributebased"><B>com.rapidminer.operator.similarity.attributebased</B></A></TD>
<TD>Similarity meausres that are based on the attribute/value representation of objects.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.similarity.clustermodel"><B>com.rapidminer.operator.similarity.clustermodel</B></A></TD>
<TD>Similarity induced by cluster models and cluster model similarity.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.validation"><B>com.rapidminer.operator.validation</B></A></TD>
<TD>Operators for estimation of the performance which can be achieved by learning schemes (and other predictive operators).&nbsp;</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.validation.clustering"><B>com.rapidminer.operator.validation.clustering</B></A></TD>
<TD>Evaluation methods for clustering.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.validation.clustering.itemdistribution"><B>com.rapidminer.operator.validation.clustering.itemdistribution</B></A></TD>
<TD>Contains classes for evaluating the distribution of items among clusters.&nbsp;</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.validation.significance"><B>com.rapidminer.operator.validation.significance</B></A></TD>
<TD>Statistical significance like ANOVA or t-tests.&nbsp;</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.visualization"><B>com.rapidminer.operator.visualization</B></A></TD>
<TD>The operators in this package might be useful for visualization purposes.&nbsp;</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.tools"><B>com.rapidminer.tools</B></A></TD>
<TD>Provides tools for RapidMiner like parsers for the input files.&nbsp;</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.tools.att"><B>com.rapidminer.tools.att</B></A></TD>
<TD>Provides tools for parsing the attribute description file.&nbsp;</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.tools.jdbc"><B>com.rapidminer.tools.jdbc</B></A></TD>
<TD>Provides tools for database access via JDBC connections.&nbsp;</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.tools.math"><B>com.rapidminer.tools.math</B></A></TD>
<TD>Several tool classes for mathematical operations.&nbsp;</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.tools.math.container"><B>com.rapidminer.tools.math.container</B></A></TD>
<TD>This package consists some additional containers fulfilling some mathematical properties which could, for example, help to speed up searches.&nbsp;</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.tools.math.matrix"><B>com.rapidminer.tools.math.matrix</B></A></TD>
<TD>Utitility classes for matrices.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.tools.math.optimization.ec.es"><B>com.rapidminer.tools.math.optimization.ec.es</B></A></TD>
<TD>Evolutionary Strategies Optimization for real valued optimization problems.&nbsp;</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.tools.math.optimization.ec.pso"><B>com.rapidminer.tools.math.optimization.ec.pso</B></A></TD>
<TD>Particle Swarm Optimization for real valued optimization problems.&nbsp;</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.tools.math.sampling"><B>com.rapidminer.tools.math.sampling</B></A></TD>
<TD>This package consists some basic sampling techniques.&nbsp;</TD>
</TR>
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<TD><B><A HREF="../../../com/rapidminer/tools/class-use/LogService.html#com.rapidminer"><B>LogService</B></A></B>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Utility class providing static methods for logging.</TD>
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<TD><B><A HREF="../../../com/rapidminer/tools/class-use/XMLException.html#com.rapidminer"><B>XMLException</B></A></B>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Indicates that an exception during XML parsing occurred.</TD>
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<TD><B><A HREF="../../../com/rapidminer/tools/class-use/GroupTree.html#com.rapidminer.doc"><B>GroupTree</B></A></B>

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&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;A group tree manages operator descriptions in a tree like manner.</TD>
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<TD><B><A HREF="../../../com/rapidminer/tools/class-use/LoggingHandler.html#com.rapidminer.example"><B>LoggingHandler</B></A></B>

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&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implementations of this interface are able to handle different types of logging.</TD>
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<TD><B><A HREF="../../../com/rapidminer/tools/class-use/RandomGenerator.html#com.rapidminer.example"><B>RandomGenerator</B></A></B>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;The global random number generator.</TD>
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<TD><B><A HREF="../../../com/rapidminer/tools/class-use/LoggingHandler.html#com.rapidminer.example.set"><B>LoggingHandler</B></A></B>

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&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implementations of this interface are able to handle different types of logging.</TD>
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<TD><B><A HREF="../../../com/rapidminer/tools/class-use/RandomGenerator.html#com.rapidminer.example.table"><B>RandomGenerator</B></A></B>

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&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;The global random number generator.</TD>
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