The goal of multi-objective clustering (MOC) is to decompose a dataset into similar groups maximizing multiple objectives in parallel. In this paper, we provide a methodology, arch...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Ricar...
We present novel intelligent tools for mining 3D medical images. We focus on detecting discriminative Regions of Interest (ROIs) and mining associations between their spatial distr...
We propose a methodology for improved segmentation of images in a Bayesian framework by fusion of color, texture and gradient information. The proposed algorithm is initialized by...
Data warehouses have been widely used in various capacities such as large corporations or public institutions. These systems contain large and rich datasets that are often used by ...
The field of market basket analysis, the search for meaningful associations in customer purchase data, is one of the oldest areas of data mining. The typical solution involves th...