Hai,
I am intend to test about the Frequent Item Set Mining using FP Growth Algorithm
I am trying to use the above data.
This is what I have right did it.
• DatabaseExampleSource
• UserBasedDiscretization
• FPGrowth
• AssociationRuleGenerator
<operator name="Root" class="Process" expanded="yes">
<operator name="DatabaseExampleSource" class="DatabaseExampleSource">
<parameter key="database_system" value="IBM DB2"/>
<parameter key="database_url" value="jdbc:db2://145.120.22.169:50000/assign"/>
<parameter key="password" value="ZTibyKBik1eB4c4bNtIQjQ=="/>
<parameter key="query" value="SELECT * FROM "SALES""/>
<parameter key="table_name" value="SALES"/>
<parameter key="username" value="svpriyan"/>
</operator>
<operator name="UserBasedDiscretization" class="UserBasedDiscretization">
<list key="classes">
<parameter key="yes" value="1.0"/>
<parameter key="no" value="0.0"/>
</list>
</operator>
<operator name="FPGrowth" class="FPGrowth">
<parameter key="keep_example_set" value="true"/>
<parameter key="min_support" value="0.1"/>
</operator>
<operator name="AssociationRuleGenerator" class="AssociationRuleGenerator">
<parameter key="keep_frequent_item_sets" value="true"/>
<parameter key="min_confidence" value="0.1"/>
</operator>
</operator>
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Though I realized it is not a sufficient one to get the result, could you please tell some advice in which way can I modify the above code?
Thanks
Priyan
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