Therefore, these rules stream through time and are so called streaming classification rules. In this paper, an interactive rule interestingness-learning�...

PDF | Inducing classification rules on domains from which information is gathered at regular periods lead the number of such classification rules to be.

Abstract. Inducing classification rules on domains from which information is gathered at regular periods lead the number of such classification rules to be.

Inducing classification rules on domains from which information is gathered at regular periods lead the number of such classification rules to be generally�...

Abstract. Inducing classification rules on domains from which information is gathered at regular periods lead the number of such classification rules to be.

In this paper, an interactive classification rules' interestingness learning algorithm (ICRIL) is developed to automatically label the classification rules�...

Modeling interestingness of streaming association rules as a benefit-maximizing classification problem � Dynamic Refinement of Classification Rules.

This paper proposes a post-processing method to learn a subjective model for the interestingness concept description of the streaming association rules.

Learning Interestingness of Streaming Classification Rules Cover Page. A novel hybrid approach for interestingness analysis of classification rules � tolga�...

Abstract—We present a distributed online learning scheme to classify data captured from distributed and dynamic data sources.