Revisiting Numerical Pattern Mining with Formal Concept Analysis

Details Revisiting Numerical Pattern Mining with Formal Concept Analysis Revisiting Numerical Pattern Mining with Formal Concept Analysis

2011-11-24

arxiv.org/abs/1111.5689v1

International Joint Conference on Artificial Intelligence (IJCAI) (2011)

Computer Science

Artificial Intelligence

Scientific paper

In this paper, we investigate the problem of mining numerical data in the framework of Formal Concept Analysis. The usual way is to use a scaling procedure --transforming numerical attributes into binary ones-- leading either to a loss of information or of efficiency, in particular w.r.t. the volume of extracted patterns. By contrast, we propose to directly work on numerical data in a more precise and efficient way, and we prove it. For that, the notions of closed patterns, generators and equivalent classes are revisited in the numerical context. Moreover, two original algorithms are proposed and used in an evaluation involving real-world data, showing the predominance of the present approach.

Affiliated with

Also associated with

No associations

Rating

Revisiting Numerical Pattern Mining with Formal Concept Analysis does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Revisiting Numerical Pattern Mining with Formal Concept Analysis, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Revisiting Numerical Pattern Mining with Formal Concept Analysis will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-156571