Dr Maybin Muyeba's Outputs (4)

A framework for mining fuzzy association rules from composite items (2009)
Presentation / Conference Contribution

A novel framework is described for mining fuzzy Association Rules (ARs) relating the properties of composite attributes, i.e. attributes or items that each feature a number of values derived from a common schema. To apply fuzzy Association Rule Minin... Read More about A framework for mining fuzzy association rules from composite items.

Effective mining of weighted fuzzy association rules (2009)
Book Chapter

A novel approach is presented for effectively mining weighted fuzzy association rules (ARs). The authors address the issue of invalidation of downward closure property (DCP) in weighted association rule mining where each item is assigned a weight acc... Read More about Effective mining of weighted fuzzy association rules.

An algorithm to mine general association rules from tabular data (2009)
Journal Article

Most methods for mining association rules from tabular data mine simple rules which only use the equality operator “=” in their items. For quantitative attributes, approaches tend to discretize domain values by partitioning them into intervals. Limit... Read More about An algorithm to mine general association rules from tabular data.

Fuzzy Weighted Association Rule Mining with Weighted Support and Confidence Framework (2009)
Presentation / Conference Contribution

In this paper we extend the problem of mining weighted association rules. A classical model of boolean and fuzzy quantitative association rule mining is adopted to address the issue of invalidation of downward closure property (DCP) in weighted assoc... Read More about Fuzzy Weighted Association Rule Mining with Weighted Support and Confidence Framework.