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This paper tries to explore the information needs at different management levels from the perspective of granular computing. Firstly, it introduces the concept of information granularity, granularity measurement, granularity structure, conversion method between different granularity levels, and the extraction of association rules under the variable granularity. And then it improves the existing single...
The model of concept lattice has strong ability of knowledge representation and knowledge discovery. Rough set theory based on the attribute reduction method often inevitably cuts out some useful information. Concept lattice, by contrast, has the relative completeness in association rule mining, and is user-friendly to find interesting information. So it can improve the mining efficiency. Based on...
Intrusion Detection System has some defects, such as signatures being generated manually, updating attack signatures difficultly and doing nothing in front of ultra data set. This paper presents a hybrid approaches for modeling IDS. Association rule mining and Rough set theory are combined as a hierarchical hybrid intelligent system model. The hybrid intrusion detection model combines association...
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