Attribute Oriented Induction with simple select SQL statement

TL;DR

This paper presents a method using a single simple SQL statement to efficiently generate characteristic and classification rules in relational databases for data mining, enhancing simplicity and speed.

Contribution

It introduces a novel approach of using a single SQL statement for rule generation, integrating concept hierarchies and measurement metrics for improved data mining processes.

Findings

Single SQL statement can generate rules efficiently

Incorporating concept hierarchies improves rule accuracy

Measurement metrics enhance rule generalization

Abstract

Searching learning or rules in relational database for data mining purposes with characteristic or classification/discriminant rule in attribute oriented induction technique can be quicker, easy, and simple with simple SQL statement. With just only one simple SQL statement, characteristic and classification rule can be created simultaneously. Collaboration SQL statement with any other application software will increase the ability for creating t-weight as measurement the typicality of each record in the characteristic rule and d-weight as measurement the discriminating behavior of the learned classification/discriminant rule, particularly for further generalization in characteristic rule. Handling concept hierarchy into tables based on concept tree will influence for the successful simple SQL statement and by knowing the right standard knowledge to transform each of concept tree in concept hierarchy into one table as transforming concept hierarchy into table, the simple SQL statement can be run properly.