Data extraction from web pages is performed by software modules called wrappers. Recently, some systems for the automatic generation of wrappers have been proposed in the literature. These systems are based on unsupervised inference techniques: taking as input a small set of sample pages, they can produce a common wrapper to extract relevant data. However, due to the automatic nature of the app...

Distributed systems require declarative access to diverse information sources. One approach to solving this heterogeneous distributed database problem is based on mediator architectures. In these architectures, mediators accept queries from users, process them with respect to wrappers, and return answers. Wrapper provide access to underlying sources. To eeciently process queries, the mediator m...

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...

Tying web services together to build large, distributed, collaborative applications has gathered noticeable momentum and a lot of research is being put in it. Along with composition of the web services, coordination is one key aspect that has been considered keenly. Many frameworks, languages and protocols have been proposed for web service composition and coordination. With the advancement in ...

Feature selection is often an essential data processing step prior to applying a learning algorithm. The removal of irrelevant and redundant information often improves the performance of machine learning algorithms. There are two common approaches: a wrapper uses the intended learning algorithm itself to evaluate the usefulness of features, while a filter evaluates features according to heurist...

In the feature subset selection problem, a learning algorithm is faced with the problem of selecting a relevant subset of features upon which to focus its attention, while ignoring the rest. To achieve the best possible performance with a particular learning algorithm on a particular training set, a feature subset selection method should consider how the algorithm and the training set interact....

With the development of the Internet, the World-WideWeb has become everyone’s invaluable information source. However, most of data on the Web is currently in the form of HTML pages, which is neither well-structured nor associated with schema. It is almost impossible to use such data efficiently. Web wrapper technology has been developed to transform unstructured /semi-structured data to semi-st...

A wrapper is a thin shell around the core, that provides the switching between functional, and core-internal and core-external test modes. Together with a test access mechanism (TAM), the core test wrapper forms the test access infrastructure to embedded reusable cores. Various company-internal as well as industry-wide standardized but scalable wrappers have been proposed. This paper deals with...

One way to solve the heterogeneity problem of distributed legacy databases consists in wrapping them as objects that can be queried for retrieval and updating. This paper presents the InterDB approach for the generation of conceptual wrappers for legacy databases. The generated wrapper is a software layer that offers a conceptual interface based on the conceptual schema of the wrapped database....