When analyzing smart metering data, both reading errors and frauds can be identified. The
purpose of this analysis is to alert the utility companies to suspicious consumption behavior …

Dimensionality reduction is generally performed when high dimensional data like text are
classified. This can be done either by using feature extraction techniques or by using feature …

Alzheimer's disease (AD) is one of the most serious neurological disorders for elderly
people. AD affected patient experiences severe memory loss. One of the main reasons for …

This paper presents an online construction algorithm for constructing fuzzy basis function
(FBF) classifiers that are capable of recognizing different types of human daily activities …

Inductive learning systems have been successfully applied in a number of medical domains.
It is generally accepted that the highest accuracy results that an inductive learning system …

This paper presents a portable device for real-time daily activity identification. The proposed
portable device is realized by an embedded system that integrates a triaxial accelerometer …

The goal of this paper is to propose, evaluate, and compare several data mining strategies
that apply feature transformation for subsequent classification, and to consider their …

This paper reports on email classification and filtering, more specifically on spam versus
ham and phishing versus spam classification, based on content features. We test the validity …

This paper presents a neuro-fuzzy classifer for activity recognition using one triaxial
accelerometer and feature reduction approaches. We use a triaxial accelerometer to acquire …

The plethora of e-commerce products within the last few years has become a serious
challenge for shoppers when searching for relevant product information. This has …