In recent years, many researchers have been conducted on batteries' health monitoring and
prognostics, mainly focusing on the batteries' state of charge (SOC). Accurately estimating …

Herbal remedies have become popular, due in part to the lower risk of adverse reactions.
Thousands of plants have been used traditionally to treat various diseases. Among them …

Data mining is a knowledge discovery process that analyzes data and generate useful
pattern from it. Classification is the technique that uses pre-classified examples to classify …

Purpose–The purpose of this paper is to explore customer engagement in Twitter via data
mining. Design/methodology/approach–This study's intended contributions are twofold: to …

The image of a face varies with the illumination, pose, and facial expression, thus we say
that a single face image is of high uncertainty for representing the face. In this sense, a face …

Previous spectral feature selection methods generate the similarity graph via ignoring the
negative effect of noise and redundancy of the original feature space, and ignoring the …

Decision Tree is a widely used data classification technique. This paper proposes a decision
tree based classification method on uncertain data. Data uncertainty is common in emerging …

With the growth of online information and sudden expansion in the number of electronic
documents provided on websites and in electronic libraries, there is difficulty in categorizing …

The information about the patients can be maintained with clinical documents. By keeping
huge volume of clinical documents we can easily predict the occurrence of any disease in …

The paper aims to develop the predictive models for dengue outbreak detection using
Multiple Rule Based Classifiers. The rule based classifiers used are the Decision Tree …