biomedical datasets usually include a large number of features relative to the number of samples. however, some data dimensions may be less relevant or even irrelevant to the output class. selection of an optimal subset of features is critical, not only to reduce the processing cost but also to improve the classification results. to this end, this paper presents a hybrid method of filter and wr...

Semi-automatic wrapper generation tools aim to ease the task of building structured views over semi-structured web sources. But the wrapper generation techniques presented up to date are unable to properly deal with sources requiring complex navigational sequences for accessing data. In this paper, we present Wargo, a semi-automatic wrapper generation tool, which has been used by non-programmer...

This paper presents a novel reconfigurable powerconscious core test wrapper and discusses its application to optimal power-constrained SOC (system-on-chip) test scheduling. The advantage with the proposed wrapper is that at each core it allows (1) a flexible TAM (test access mechanism) bandwidths, and (2) a possibility to select the appropriate test power consumption. Our scheduling technique, ...

To simplify the task of constructing wrapper/monitor for the information sources in data warehouse systems, we provide a modularized design method to re-use the code. By substituting some parts of wrapper modules, we can re-use the wrapper on a di€erent information source. For each information source, we also develop a toolkit to generate a corresponding monitor. By the method, we can reduce mu...

We present a service-oriented architecture and a set of techniques for developing wrapper code generators, including the methodology of designing an effective wrapper program construction facility and a concrete implementation, called XWRAPComposer. Our wrapper generation framework has two unique design goals. First, we explicitly separate tasks of building wrappers that are specific to a Web s...

Current mediator and wrapper architectures do not have the exibility to scale to multiple wrapped sources, where some sources may be redundant, and some sources may provide incomplete answers to a query. We propose a meta-wrapper component which is capable of handling multiple wrapped sources, in a particular domain, where the multiple sources provide related information. The meta-wrapper makes...

This paper deals with the problem of feature subset selection in classification oriented datasets with a (very) large number of attributes. In such datasets the classical wrapper approaches become intractable due to the high number of wrapper evaluations to be carried out. One way to alleviate this problem is to use the so-called filter-wrapper approach, which consists in the construction of a ...

In this paper, we examine the advantages and disadvantages of filter and wrapper methods for feature selection and propose a new hybrid algorithm that uses boosting and incorporates some of the features of wrapper methods into a fast filter method for feature selection. Empirical results are reported on six real-world datasets from the UCI repository, showing that our hybrid algorithm is compet...