ADI-Minebio: A Graph Mining Algorithm for Biomedical Data

Graph mining is concerned with mining frequent subgraph patterns over a collection of graphs, aiming to find novel and useful knowledge. It has being used to analyze data from different domains, sometimes using algorithms tailored for a specific area of knowledge. In this article, we propose a graph-mining algorithm and its application in the biomedical domain. We introduce the following contributions. We propose the ADI-bio structure, which organizes data from a database with information of a disease’s patient. We also propose the ADI-Minebio algorithm, which performs a search on the proposed ADI-bio structure to find frequent subgraphs. Our approach is based on the ADI (adjacency index) structure and the ADI-Mine algorithm, but specifies a different structure and hence a new way of analyzing data through this structure. We also discuss a performance study to show the feasibility of our approach.