An essential task in a genomic analysis of a human disease is limiting the number of strongly associated genes when studying susceptibility to the disease. The goal of this study was to compare computational tools with and without feature selection for predicting osteoporosis outcome in Taiwanese women based on genetic factors such as single nucleotide polymorphisms (SNPs). To elucidate relatio...

Microarray sample classification has been studied extensively using classification techniques in machine learning and pattern recognition. In a microarray chip, the number of genes available is far greater than that of samples, which is a serious problem and the gene expression reduction, is important one. Prior to sample classification, it is important to perform gene selection and more interp...

In this paper, we presented a tool to exploit online Web data sources using reconfigurable Web wrapper agents. We described how these agents can be rapidly generated and executed based on the script language WNDL and extraction rule generator IEPAD. WNDL is an XML-based language that provides a representation of a Web browsing session. A WNDL script describes how to locate the data, extract the...

The number of data source on internet has increased in volume and type since the last decade, causing problems to query the data or information because of the diversity, dynamic and heterogeneity of the data source or information. Therefore, to simplify the task of obtaining information, several tools have been created for extracting the data from multiple web sources, including Wrapper. Wrappe...

Feature selection is a critical procedure in many pattern recognition applications. There are two distinct mechanisms for feature selection namely the wrapper methods and the filter methods. The filter methods are generally considered inferior to wrapper methods, however wrapper methods are computationally more demanding than filter methods. A novel filter feature selection method based on mutu...

Most methods for the evolutionary generation of multi-layer perceptron classifiers use a divide-andconquer strategy, where the tasks of feature selection, structure design, and weight training are performed separately. The concurrent evolution of the whole classifier has been seldom attempted and its effectiveness has never been exhaustively benchmarked. This paper presents an experimental stud...

A flexible, accurate, and efficient method of extracting facts from lists in OCRed documents and inserting them into an ontology would help make those facts machine queryable, linkable, and editable. But, to work well, such a process must be adaptable to variations in list format, tolerant of OCR errors, and careful in its selection of human guidance. We propose a wrapper-induction solution for...

A flexible, accurate, and efficient method of automatically extracting facts from lists in OCRed documents and inserting them into an ontology would help make those facts machine searchable, queryable, and linkable and expose their rich ontological interrelationships. To work well, such a process must be adaptable to variations in list format, tolerant of OCR errors, and careful in its selectio...

A flexible, accurate, and cost-effective method of automatically extracting facts from lists in OCRed documents and inserting them into an ontology would help make those facts machine searchable, queryable, and linkable and expose their rich ontological interrelationships. To work well, such a process must be adaptable to variations in list format, tolerant of OCR errors, and careful in its sel...