About this document
Association Rule Mining in Relational Data by Srinivas is a document available to read on EtoBox.
Association rule mining of relational data is a technique for discovering patterns and relationships in complex, relational datasets. There are two main approaches: inductive logic programming provides flexibility while mining joined relations is a faster technique. Relational data mining poses unique challenges like skewed results from traversing relational links and correlations between related data. It is an important area of research to develop theories and algorithms that can rigorously handle relation
- Author
- Srinivas
- Language
- EN