Market Basket Analysis

MohamadJavad · September 2019

I want to use market basket analysis for Data that I have (Attached file), which columns should I select?
and which operator should I select? could you guide me step by step to figure out the association rule so that i could find correlation between products which are bought together.
many thanks

YYH · September 2019

Hi @MohamadJavad,

Thanks for sharing the transaction data set. The improved FP-Growth operator for MB analysis can take various input formats. Please check out the tutorial process from the help docs for the detailed explanation of the acceptable formats
https://docs.rapidminer.com/latest/studio/operators/modeling/associations/fp_growth.html

input_format

See the second tutorial for examples. As discussed in detail in the description, this Operator supports several different formats for the input data.

item list in a column: All the items belonging to a transaction appear in a single column, separated by item separators, in a CSV-like format.
items in separate columns: All the items belonging to a transaction appear in separate columns, with the first item name appearing in the first column, the second item name in the second column, etc.
items in dummy coded columns: Every item in the set of all items has its own column, and the item name is the column name. For each transaction, the binominal values (true/false) indicate whether the item can be found in the basket.

Based on the columns given in the sample set, I concatenated the purchased item ID and descriptions in my process. You can use either one.
Since the sample data is collected in the same day. I assume each line in raw data lists one item purchased by one customer, so I aggregated transactions by customer ID.

<?xml version="1.0" encoding="UTF-8"?><process version="9.4.000-BETA2">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="9.4.000-BETA2" 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="yhuang@rapidminer.com"/>
    <parameter key="process_duration_for_mail" value="1"/>
    <parameter key="encoding" value="SYSTEM"/>
    <process expanded="true">
      <operator activated="true" class="retrieve" compatibility="9.4.000-BETA2" expanded="true" height="68" name="Retrieve تراکنش-20" width="90" x="313" y="34">
        <parameter key="repository_entry" value="//RM YY Loal Repository/from Community/data_tmp/تراکنش-20"/>
      </operator>
      <operator activated="true" class="numerical_to_polynominal" compatibility="9.4.000-BETA2" expanded="true" height="82" name="Numerical to Polynominal" width="90" x="447" y="34">
        <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"/>
      </operator>
      <operator activated="true" class="aggregate" compatibility="9.4.000-BETA2" expanded="true" height="82" name="Aggregate" width="90" x="581" y="34">
        <parameter key="use_default_aggregation" value="false"/>
        <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="attribute_value"/>
        <parameter key="use_value_type_exception" value="false"/>
        <parameter key="except_value_type" value="time"/>
        <parameter key="block_type" value="attribute_block"/>
        <parameter key="use_block_type_exception" value="false"/>
        <parameter key="except_block_type" value="value_matrix_row_start"/>
        <parameter key="invert_selection" value="false"/>
        <parameter key="include_special_attributes" value="false"/>
        <parameter key="default_aggregation_function" value="average"/>
        <list key="aggregation_attributes">
          <parameter key="ItemID" value="concatenation"/>
          <parameter key="ItemName" value="concatenation"/>
        </list>
        <parameter key="group_by_attributes" value="dt|CustomerID"/>
        <parameter key="count_all_combinations" value="false"/>
        <parameter key="only_distinct" value="false"/>
        <parameter key="ignore_missings" value="true"/>
      </operator>
      <operator activated="true" class="select_attributes" compatibility="9.4.000-BETA2" expanded="true" height="82" name="Select Attributes" width="90" x="715" y="34">
        <parameter key="attribute_filter_type" value="subset"/>
        <parameter key="attribute" value=""/>
        <parameter key="attributes" value="CustomerID|concat(ItemName)"/>
        <parameter key="use_except_expression" value="false"/>
        <parameter key="value_type" value="attribute_value"/>
        <parameter key="use_value_type_exception" value="false"/>
        <parameter key="except_value_type" value="time"/>
        <parameter key="block_type" value="attribute_block"/>
        <parameter key="use_block_type_exception" value="false"/>
        <parameter key="except_block_type" value="value_matrix_row_start"/>
        <parameter key="invert_selection" value="false"/>
        <parameter key="include_special_attributes" value="false"/>
      </operator>
      <operator activated="true" class="set_role" compatibility="9.4.000-BETA2" expanded="true" height="82" name="Set Role" width="90" x="849" y="34">
        <parameter key="attribute_name" value="CustomerID"/>
        <parameter key="target_role" value="id"/>
        <list key="set_additional_roles"/>
      </operator>
      <operator activated="true" class="concurrency:fp_growth" compatibility="9.4.000-BETA2" expanded="true" height="82" name="FP-Growth" width="90" x="983" y="34">
        <parameter key="input_format" value="item list in a column"/>
        <parameter key="item_separators" value="|"/>
        <parameter key="use_quotes" value="false"/>
        <parameter key="quotes_character" value="&quot;"/>
        <parameter key="escape_character" value="\"/>
        <parameter key="trim_item_names" value="true"/>
        <parameter key="min_requirement" value="frequency"/>
        <parameter key="min_support" value="0.95"/>
        <parameter key="min_frequency" value="5"/>
        <parameter key="min_items_per_itemset" value="1"/>
        <parameter key="max_items_per_itemset" value="0"/>
        <parameter key="max_number_of_itemsets" value="1000000"/>
        <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="requirement_decrease_factor" value="0.9"/>
        <enumeration key="must_contain_list"/>
      </operator>
      <operator activated="true" class="create_association_rules" compatibility="9.4.000-BETA2" expanded="true" height="82" name="Create Association Rules (2)" width="90" x="1184" y="85">
        <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="Retrieve تراکنش-20" from_port="output" to_op="Numerical to Polynominal" to_port="example set input"/>
      <connect from_op="Numerical to Polynominal" from_port="example set output" to_op="Aggregate" to_port="example set input"/>
      <connect from_op="Aggregate" from_port="example set output" to_op="Select Attributes" to_port="example set input"/>
      <connect from_op="Select Attributes" from_port="example set output" to_op="Set Role" to_port="example set input"/>
      <connect from_op="Set Role" from_port="example set output" to_op="FP-Growth" to_port="example set"/>
      <connect from_op="FP-Growth" from_port="example set" to_port="result 1"/>
      <connect from_op="FP-Growth" from_port="frequent sets" to_op="Create Association Rules (2)" to_port="item sets"/>
      <connect from_op="Create Association Rules (2)" from_port="rules" to_port="result 2"/>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="0"/>
      <portSpacing port="sink_result 2" spacing="0"/>
      <portSpacing port="sink_result 3" spacing="0"/>
    </process>
  </operator>
</process>

Cheers,

YY

Market Basket Analysis

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