Location selection plays a very prominent role in retailing due to its high and long-term
investments. It is very difficult to make up once an inappropriate convenience store (CVS) location …

Data-mining is the process of extracting desirable knowledge or interesting patterns from
existing databases for specific purposes. Most conventional data-mining algorithms identify the …

Data mining is the process of extracting desirable knowledge or interesting patterns from
existing databases for specific purposes. Most conventional data-mining algorithms identify the …

This paper attempts to propose a new data-mining algorithm to enhance the capability of
exploring interesting knowledge from transactions with quantitative values. The proposed …

Previously used quantitative indices for predicting stock prices are not really suitable, and
the requirement for a large amount of input data slows down the convergence of a neural …

We have developed an intelligent decision support system for plasma arc welding based on
a fuzzy radial basis function (RBF) neural network. This approach may solve the following …

With the natural characteristic of multi-process planning, a flexible manufacturing system (FMS)
is much more productive than the conventional production approaches because its …

This paper compares the performance of Artificial Neural Networks (ANNs) as classifiers in
the facility location domain. The ART II (Adaptive Resonance Theory) and BP (Back …

In data analysis techniques, the capability of SOM and K-means for clustering large-scale
databases has already been confirmed. The most remarkable advantage of SOM-based two-…

Data mining is the process of extracting desirable knowledge or interesting patterns from
existing databases for specific purposes. Most of the conventional data mining algorithms can …