Legacy systems provide services that remain useful beyond the means of the technology in which they were originally implemented. Our Legacy Wrapper tool packages the services of a legacy application in order to redistribute as a distributed object. In this new environment, the wrapper provides its own layer of security between the security domains of the host and the distributed object system. ...

We address the problem of feature selection for classifying a diverse set of chemicals using an array of metal oxide sensors. Our aim is to evaluate a filter approach to feature selection with reference to previous work, which used a wrapper approach on the same data set, and established best features and upper bounds on classification performance. We selected feature sets that exhibit the maxi...

The amount of useful semi-structured data on the web continues to grow at a stunning pace. Often interesting web data are not in database systems but in HTML pages, XML pages, or text files. Data in these formats are not directly usable by standard SQL-like query processing engines that support sophisticated querying and reporting beyond keyword-based retrieval. Hence, the web users or applicat...

The Java Modeling Language allows one to write formal behavioral specifications for Java classes in structured comments within the source code, and then automatically generate run-time assertion checks based on such a specification. Instead of placing the generated assertion checking code directly in the underlyling class bytecode file, placing it is a separate wrapper component offers many adv...

Wrapper feature selection methods are widely used to select relevant features. However, wrappers only use a single classifier. The downside to this approach is that each classifier will have its own biases and will therefore select very different features. In order to overcome the biases of individual classifiers, this study introduces a new data mining method called wrapper-based decision tree...

Simultaneous selection of the number of clusters and of a relevant subset of features is part of data mining challenges. A new approach is proposed to address this difficult issue. It takes benefits of both two-levels clustering approaches and wrapper features selection algorithms. On the one hands, the former enhances the robustness to outliers and to reduce the running time of the algorithm. ...

Modern agent and mediator systems communicate to a multitude of Web information providers to better satisfy user requests. They use wrappers to extract relevant information from HTML responses and to annotate it with userdefined labels. A number of approaches exploit the methods of machine learning to induce instances of certain wrapper classes, by assuming the tabular structure of HTML respons...

First Author M. Kayalvizhi* Post Graduates Student P.G. Department of Computer Science Govt . Arts College, Melur 625 106 Email :[email protected] Second Author T.Balaji* Assistant Professor P.G.Department of Computer Science, Govt . Arts College, Melur 625 106. Email:[email protected] -------------------------------------------------------------------------Abstract-------------------...

The web of data is a web vision in which data are represented into RDF and interlinked to each other. The fast growth of linked data motivates researchers to exploit this huge amount of well-represented data in linked data cloud. Moreover, finding the implicit answers is important to enable web agent to understand deeply web data. This paper proposes a SPARQL endpoint wrapper to enable original...