A Roadmap to an Enhanced Graph Based Data Mining Approach for Multi-Relational Data Mining

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Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Topic: Big Data
Format: PDF
Multi-Relational Data Mining (MRDM) is a subfield of data mining which focuses on knowledge discovery from relational databases comprising multiple tables. The approaches to MRDM are categorized into five groups. They are greedy search based approach, Inductive Logic Programming (ILP) based approach, inductive database based approach, mathematical graph theory based approach and kernel function based approach. Representation is a fundamental as well as a critical aspect in the process of discovery. These five approaches are grouped into two forms of representation, namely the Graph-Based Representation (GBR) and the Logic-Based Representation (LBR).
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