Sheng-Tun Li

Learn More
Automatic text classification in text mining is a critical technique to manage huge collections of documents. However, most existing document classification algorithms are easily affected by ambiguous terms. The ability to disambiguate for a classifier is thus as important as the ability to classify accurately. In this paper, we propose a novel(More)
Spatio-temper-al data mining involves exti-acting and analyzing useful information embedded in a large spatio temporal database. Cluster analysis, one of the data mining techniques, provides the capabilip to investigate the spatio-temporal variation of data. Previous studies in cluster analysis indicate that the optimal number of clusters could be varied(More)
In the past two decades, the heavy environmental loading has led to the deterioration of air quality in Taiwan. The task of controlling and improving air quality has attracted a great deal of national attention. The Taiwanese government has since set up the National Air Quality Monitoring Network (TAQMN) to monitor nationwide air quality and adopted an(More)
Genetic algorithms (GAs) are well-known heuristic algorithms and have been applied to solve a variety of complicated problems. When adopting GA approaches, two important issues––selection pressure and population diversity––must be considered. This work presents a novel mating strategy, called tabu genetic algorithm (TGA), which harmonizes these two issues(More)
Health expenditures have rapidly risen to the top of the political agenda in many countries. Physicians and their actions account for most health care spending. However, very few studies have attempted more comprehensive exploration of general practitioners’ (GPs’) practice patterns segmentation. This paper seeks to bridge this gap. It facilitates the payer(More)