Search Results ams_dm_imp_attributes




Overview
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Overview

The AMS_DM_IMP_ATTRIBUTES table is a core data object within the Oracle E-Business Suite Marketing (AMS) module, specifically supporting its data mining and predictive analytics capabilities. In the context of releases 12.1.1 and 12.2.2, this table serves as a repository for the calculated importance or ranking of attributes (data fields) used during the construction of analytical models. Its primary role is to store the output of the model-building process, quantifying the relative predictive contribution of each input variable. This stored importance ranking is critical for analysts to interpret model results, identify the most influential factors in a prediction, and refine future model iterations.

Key Information Stored

The table's structure is designed to link importance scores directly to specific models and their source data elements. The key columns, as defined by its primary and unique keys, are:

  • IMP_ATTRIBUTE_ID: The primary key column, serving as a unique identifier for each importance record stored in the table.
  • MODEL_ID: A foreign key that links the importance data to a specific predictive model defined in the AMS_DM_MODELS_ALL_B table.
  • SOURCE_FIELD_ID: A foreign key that identifies the exact source data attribute (from AMS_LIST_SRC_FIELDS) whose importance is being recorded.

While the provided metadata does not list the specific column holding the numerical importance score, it is implied by the table's description. One would typically expect additional columns, such as an IMPORTANCE_SCORE or RANK, to store the calculated metric, alongside standard WHO columns (CREATED_BY, CREATION_DATE, etc.) for auditing.

Common Use Cases and Queries

This table is primarily accessed for post-model analysis and reporting. A common use case is generating a report to understand which customer demographics or transaction history attributes were most significant in a model predicting campaign response. Technical consultants or analysts would query this table to extract ranked attribute lists. A typical SQL pattern involves joining to the related model and source field tables for descriptive context:

SELECT m.MODEL_NAME, s.FIELD_NAME, i.IMPORTANCE_SCORE
FROM AMS_DM_IMP_ATTRIBUTES i,
AMS_DM_MODELS_ALL_B m,
AMS_LIST_SRC_FIELDS s
WHERE i.MODEL_ID = m.MODEL_ID
AND i.SOURCE_FIELD_ID = s.SOURCE_FIELD_ID
AND m.MODEL_ID = :p_model_id
ORDER BY i.IMPORTANCE_SCORE DESC;

This data is essential for validating model logic, communicating insights to business stakeholders, and guiding data collection strategies for future modeling efforts.

Related Objects

The AMS_DM_IMP_ATTRIBUTES table maintains defined foreign key relationships with two primary tables in the AMS schema, as documented in the provided metadata:

  • AMS_DM_MODELS_ALL_B: This is the master table for data mining models. The relationship is established via the column AMS_DM_IMP_ATTRIBUTES.MODEL_ID, which references AMS_DM_MODELS_ALL_B. Every importance record must be associated with a valid parent model.
  • AMS_LIST_SRC_FIELDS: This table contains definitions for the source fields available for list creation and analytics. The relationship is via the column AMS_DM_IMP_ATTRIBUTES.SOURCE_FIELD_ID, which references AMS_LIST_SRC_FIELDS. This links the statistical importance score back to a defined business attribute.

These relationships ensure referential integrity, meaning an importance record cannot exist without a corresponding, valid model and source field definition.