The discovery of sequential patterns, which extends beyond frequent item-set finding of association rule mining, has become a challenging task due to its complexity. Essentially, ...
This paper proposes a logic-oriented framework for institutional agents specification and analysis. Within this framework institutional agents are seen as artificial agents that a...
Private information about individuals that engage in e-commerce business transactions is of economic value to businesses for market analysis and for identifying possible future par...
Traditional methods for data mining typically make the assumption that data is centralized and static. This assumption is no longer tenable. Such methods waste computational and I/...
Adriano Veloso, Matthew Eric Otey, Srinivasan Part...
In this paper, we propose a new mining task: mining top-k frequent closed patterns of length no less than min , where k is the desired number of frequent closed patterns to be min...