12 citations · 28 across the 8 of their papers we have counts for
4 papers · 1 filter
A Novel Meta Learning Framework for Feature Selection using Data Synthesis and Fuzzy Similarity
Zixiao Shen, Xin Chen, Jonathan M. Garibaldi
This paper presents a novel meta learning framework for feature selection (FS) based on fuzzy similarity. The proposed method aims to recommend the best FS method from four candida…
A Novel Weighted Combination Method for Feature Selection using Fuzzy Sets
Zixiao Shen, Xin Chen, Jonathan M. Garibaldi
In this paper, we propose a novel weighted combination feature selection method using bootstrap and fuzzy sets. The proposed method mainly consists of three processes, including fu…
Performance Optimization of a Fuzzy Entropy based Feature Selection and Classification Framework
Zixiao Shen, Xin Chen, Jonathan M. Garibaldi
In this paper, based on a fuzzy entropy feature selection framework, different methods have been implemented and compared to improve the key components of the framework. Those meth…
A Data Mining framework to model Consumer Indebtedness with Psychological Factors
Alexandros Ladas, Eamonn Ferguson, Uwe Aickelin +1
Modelling Consumer Indebtedness has proven to be a problem of complex nature. In this work we utilise Data Mining techniques and methods to explore the multifaceted aspect of Consu…