Abstract-The use of patterns in predictive models has received a lot of attention in recent years. This paper presents a pattern-based classification model ...

This paper presents a pattern-based classification model which extracts the patterns that have similarity among all objects in a specific class. This introduced ...

The model extracts a set of patterns common in a single class from the training dataset according to the rules of the pattern-based subspace clustering ...

The model extracts a set of patterns common in a single class from the training dataset according to the rules of the pattern-based subspace clustering ...

Abstract—This paper presents a model of a supervised machine learning approach for classification of a dataset. The model extracts a set of patterns from ...

Missing: classification | Show results with:classification

We propose a flexible ensemble classification framework, Random Subspace Ensemble (RaSE), for sparse classification. In the RaSE algorithm, we aggregate many ...

This paper proposes a new pattern-based subspace clustering algorithm CPT by using Pattern tree. ... classified into several different types: partition-based ...

an ensemble learning method that attempts to reduce the correlation between estimators in an ensemble by training them on random samples of features.

Aboul Ella Hassanien (Abo) · Professor of Information Technology and Chair of Scientific Research Group in Egypt · Pattern-based subspace classification model.