"discovering association rules"
zainab2013
New Altair Community Member
hi all,
please I need emergent help in discovering association rules in a dataset.
\i have created a process but the returned results have something wrong, I don't know what the problem is.
here is the results I get for the Iris dataset :
please I need emergent help in discovering association rules in a dataset.
\i have created a process but the returned results have something wrong, I don't know what the problem is.
here is the results I get for the Iris dataset :
| 1 sepal width sepal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 2 sepal length sepal width 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 3 sepal width petal width 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 4 petal width sepal width 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 5 sepal width petal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 6 petal length sepal width 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 7 sepal length petal width 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 8 petal width sepal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 9 sepal length petal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 10 petal length sepal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 11 petal width petal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 12 petal length petal width 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 13 sepal width sepal length, petal width 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 14 sepal length sepal width, petal width 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 15 sepal width, sepal length petal width 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 16 petal width sepal width, sepal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 17 sepal width, petal width sepal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 18 sepal length, petal width sepal width 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 19 sepal width sepal length, petal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 20 sepal length sepal width, petal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 21 sepal width, sepal length petal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 22 petal length sepal width, sepal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 23 sepal width, petal length sepal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 24 sepal length, petal length sepal width 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 25 sepal width petal width, petal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 26 petal width sepal width, petal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 27 sepal width, petal width petal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 28 petal length sepal width, petal width 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 29 sepal width, petal length petal width 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 30 petal width, petal length sepal width 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 31 sepal length petal width, petal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 32 petal width sepal length, petal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 33 sepal length, petal width petal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 34 petal length sepal length, petal width 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 35 sepal length, petal length petal width 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 36 petal width, petal length sepal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 37 sepal width sepal length, petal width, petal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 38 sepal length sepal width, petal width, petal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 39 sepal width, sepal length petal width, petal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 40 petal width sepal width, sepal length, petal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 41 sepal width, petal width sepal length, petal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 42 sepal length, petal width sepal width, petal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 43 sepal width, sepal length, petal width petal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 44 petal length sepal width, sepal length, petal width 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 45 sepal width, petal length sepal length, petal width 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 46 sepal length, petal length sepal width, petal width 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 47 sepal width, sepal length, petal length petal width 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 48 petal width, petal length sepal width, sepal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 49 sepal width, petal width, petal length sepal length 1.0 1.0 1.0 -1.0 0.0 1.0 NaN 50 sepal length, petal width, petal length sepal width 1.0 1.0 1.0 -1.0 0.0 1.0 NaN |
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Answers
-
Hi,
please post the XML of your process.
Best regards,
Marius0 -
<?xml version="1.0" encoding="UTF-8" standalone="no" ?>
- <process version="6.0.002">
- <context>
<input />
<output />
<macros />
</context>
- <operator activated="true" class="process" compatibility="6.0.002" expanded="true" name="Process">
<parameter key="logverbosity" value="init" />
<parameter key="random_seed" value="2001" />
<parameter key="send_mail" value="never" />
<parameter key="notification_email" value="" />
<parameter key="process_duration_for_mail" value="30" />
<parameter key="encoding" value="SYSTEM" />
- <process expanded="true">
- <operator activated="true" class="read_arff" compatibility="6.0.002" expanded="true" height="60" name="Read ARFF" width="90" x="45" y="75">
<parameter key="data_file" value="C:\Users\Admin\Desktop\iris.arff" />
<parameter key="encoding" value="SYSTEM" />
<parameter key="read_not_matching_values_as_missings" value="true" />
<list key="data_set_meta_data_information" />
<parameter key="attribute_names_already_defined" value="false" />
<parameter key="decimal_character" value="." />
<parameter key="grouped_digits" value="false" />
<parameter key="grouping_character" value="," />
</operator>
- <operator activated="true" class="numerical_to_binominal" compatibility="6.0.002" expanded="true" height="76" name="Numerical to Binominal" width="90" x="179" y="210">
<parameter key="attribute_filter_type" value="all" />
<parameter key="attribute" value="" />
<parameter key="attributes" value="" />
<parameter key="use_except_expression" value="false" />
<parameter key="value_type" value="numeric" />
<parameter key="use_value_type_exception" value="false" />
<parameter key="except_value_type" value="real" />
<parameter key="block_type" value="value_series" />
<parameter key="use_block_type_exception" value="false" />
<parameter key="except_block_type" value="value_series_end" />
<parameter key="invert_selection" value="false" />
<parameter key="include_special_attributes" value="false" />
<parameter key="min" value="0.0" />
<parameter key="max" value="0.0" />
</operator>
- <operator activated="true" class="fp_growth" compatibility="6.0.002" expanded="true" height="76" name="FP-Growth" width="90" x="380" y="255">
<parameter key="find_min_number_of_itemsets" value="true" />
<parameter key="min_number_of_itemsets" value="100" />
<parameter key="max_number_of_retries" value="15" />
<parameter key="min_support" value="0.95" />
<parameter key="max_items" value="-1" />
<parameter key="keep_example_set" value="false" />
</operator>
- <operator activated="true" class="create_association_rules" compatibility="6.0.002" expanded="true" height="76" name="Create Association Rules" width="90" x="514" y="75">
<parameter key="criterion" value="confidence" />
<parameter key="min_confidence" value="0.8" />
<parameter key="min_criterion_value" value="0.8" />
<parameter key="gain_theta" value="2.0" />
<parameter key="laplace_k" value="1.0" />
</operator>
<connect from_op="Read ARFF" from_port="output" to_op="Numerical to Binominal" to_port="example set input" />
<connect from_op="Numerical to Binominal" from_port="example set output" to_op="FP-Growth" to_port="example set" />
<connect from_op="FP-Growth" from_port="frequent sets" to_op="Create Association Rules" to_port="item sets" />
<connect from_op="Create Association Rules" from_port="rules" to_port="result 1" />
<portSpacing port="source_input 1" spacing="0" />
<portSpacing port="sink_result 1" spacing="0" />
<portSpacing port="sink_result 2" spacing="0" />
</process>
</operator>
</process>
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