This paper describes how use the HTMLEditorKit to perform web data mining on stock statistics for listed firms. Our focus is on making use of the web to get information about comp...
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Aim of this work is to apply a novel comprehensive machine learning tool for data mining to preprocessing and interpretation of gene expression data. Furthermore, some visualizatio...
Roberto Amato, Angelo Ciaramella, N. Deniskina, Ca...
Program comprehension is an important part of software maintenance, especially when program structure is complex and documentation is unavailable or outdated. Data mining can prod...
Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in an...