In this paper we propose a novel spatial associative classifier method based on a multi-relational approach that takes spatial relations into account. Classification is driven by s...
Abstract--Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns ...
We study peer-to-peer service networks consisting of autonomous agents who seek and provide services. To fulfill its local needs, an agent attempts to discover and select informa...
This work introduces a novel data mining scheme, spatial pyramid mining, to discover association rules at multiple resolutions in order to identify frequent spatial configuration...
The visitor pattern is appealing to developers of program-analysis tools because it separates the design of the data structures that represent a program from the design of softwar...