Study of FSM algorithms using MapReduce Framework 1

In large graph data, frequent subgraph mining (FSM) is an important task for exploratory data analysis. Over the years many algorithms have been discovered for this assignment. These algorithms accept that mining task is sufficiently little to fit in main memory of the computer. But they lack scalability as the main memory is the bottleneck. By considering… CONTINUE READING