Extracting Relations Between Organizational Patterns Using Association Mining

Abstract

Patterns are powerful when used in combinations. Identifying relationships between patterns is challenging. The existing approaches and pattern formats reflect the relationships with other patterns in a very informal and traditional way. We are proposing an automatic approach which discover such relationships from the patterns descriptive text using text mining and natural language processing techniques. In this work, we demonstrate how it contributes in inference of relationships and its strength among patterns.