This paper deals with the problem of supervised wrapper-based feature subset selection in datasets with a very large number of attributes. Recently the literature has contained numerous references to the use of hybrid selection algorithms: based on a filter ranking, they perform an incremental wrapper selection over that ranking. Though working fine, these methods still have their problems: (1)...

Semi-automatic wrapper generation tools aim to ease the task of building structured views over web sources. But the wrapper generation techniques presented up to date show several weaknesses when dealing with the complex commercial web sources of today, specially when constructing advanced navigational sequences for accessing data. We present Wargo, a semi-automatic wrapper generation tool, whi...

The proliferation of online information sources has accentuated the need for tools that automatically validate and recognize data. We present an efficient algorithm that learns structural information about data from positive examples alone. We describe two Web wrapper maintenance applications that employ this algorithm. The first application detects when a wrapper is not extracting correct data...

The premise, upon which I evaluate the TCP-friendliness of VOIP traffic, is content and the necessary justification. In the reminder of this paper I will give a description of the paper as well as the assumptions and claims of the authors. Also I will give my own personal conclusions about the authors’ work along with sufficient justifications.

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...

Microarrays allow researchers to monitor the gene expression patterns for tens of thousands of genes across a wide range of cellular responses, phenotype and conditions. Selecting a small subset of discriminate genes from thousands of genes is important for accurate classification of diseases and phenotypes. Many methods have been proposed to find subsets of genes with maximum relevance and min...

Predicting stock prices is an important objective in the financial world. This paper presents a novel forecasting model for stock markets on the basis of the wrapper ANFIS (Adaptive Neural Fuzzy Inference System)ICA (Imperialist Competitive Algorithm) and technical analysis of Japanese Candlestick. Two approaches of Raw-based and Signal-based are devised to extract the model’s input variables w...

This paper deals with the problem of feature subset selection in classification-oriented datasets with a (very) large number of attributes. In such datasets complex 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 or Incremental Wrapper-based Subset S...