Mining frequent patterns has been a topic of active research because it is computationally the most expensive step in association rule discovery. In this paper, we discuss the use ...
With the increasing amount and complexity of data being collected, there is an urgent need to create automated techniques for mining the data. In particular, data being generated ...
We describe algorithms for pattern matching and pattern learning in TOPS diagrams (formal descriptions of protein topologies). These problems can be reduced to checking for subgrap...
tterns help narrow the gap between the abstract views of the data structures and their concrete implementations. The smaller the gap, the higher the level action. The more abstract...
Frequent itemset mining (FIM) is an essential part of association rules mining. Its application for other data mining tasks has also been recognized. It has been an active researc...