我需要将 fp-growth 关联规则从 RapidMiner 导出到 MySQL 数据库。该表包含以下列:premises
、conclusion
和。support
confidence
我应该使用哪个运算符?
我需要将 fp-growth 关联规则从 RapidMiner 导出到 MySQL 数据库。该表包含以下列:premises
、conclusion
和。support
confidence
我应该使用哪个运算符?
您可以使用来自RapidMiner 市场的Converters 扩展中的“Association Rules to ExampleSet”运算符。结果示例集中的相关属性可以很容易地存储在数据库中。有关示例,请参见下面的示例过程。
<?xml version="1.0" encoding="UTF-8"?><process version="9.0.002">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="6.0.002" expanded="true" name="Process" origin="GENERATED_TUTORIAL">
<process expanded="true">
<operator activated="true" class="retrieve" compatibility="9.0.002" expanded="true" height="68" name="Iris" origin="GENERATED_TUTORIAL" width="90" x="45" y="120">
<parameter key="repository_entry" value="//Samples/data/Iris"/>
</operator>
<operator activated="true" class="discretize_by_frequency" compatibility="7.1.001" expanded="true" height="103" name="Discretize by Frequency" origin="GENERATED_TUTORIAL" width="90" x="179" y="120">
<parameter key="number_of_bins" value="5"/>
<parameter key="range_name_type" value="short"/>
</operator>
<operator activated="true" class="nominal_to_binominal" compatibility="7.1.001" expanded="true" height="103" name="Nominal to Binominal" origin="GENERATED_TUTORIAL" width="90" x="313" y="120">
<parameter key="transform_binominal" value="true"/>
<parameter key="use_underscore_in_name" value="true"/>
</operator>
<operator activated="true" class="concurrency:fp_growth" compatibility="9.0.002" expanded="true" height="82" name="FPGrowth" origin="GENERATED_TUTORIAL" width="90" x="447" y="120">
<parameter key="min_support" value="0.1"/>
<parameter key="find_min_number_of_itemsets" value="false"/>
<parameter key="min_number_of_itemsets" value="1"/>
<enumeration key="must_contain_list"/>
</operator>
<operator activated="true" class="create_association_rules" compatibility="9.0.002" expanded="true" height="82" name="Create Association Rules" origin="GENERATED_TUTORIAL" width="90" x="581" y="120"/>
<operator activated="true" class="converters:rules_2_example_set" compatibility="0.4.000" expanded="true" height="82" name="Association Rules to ExampleSet" width="90" x="782" y="136"/>
<connect from_op="Iris" from_port="output" to_op="Discretize by Frequency" to_port="example set input"/>
<connect from_op="Discretize by Frequency" from_port="example set output" to_op="Nominal to Binominal" to_port="example set input"/>
<connect from_op="Nominal to Binominal" from_port="example set output" to_op="FPGrowth" to_port="example set"/>
<connect from_op="FPGrowth" from_port="frequent sets" to_op="Create Association Rules" to_port="item sets"/>
<connect from_op="Create Association Rules" from_port="rules" to_op="Association Rules to ExampleSet" to_port="rules input"/>
<connect from_op="Association Rules to ExampleSet" from_port="example set" to_port="result 1"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="90"/>
<portSpacing port="sink_result 2" spacing="18"/>
</process>
</operator>
</process>