Automatic wrapper system for semistructured documents based on data mining

Our world involves understanding and storing of huge information from different sources that need integration and synthesis. The necessity of smart applications that can automatically process and collect such information was critic. These applications use clustering analysis in order to find common groups of data. Also due to the knowledges in the software applications area, the new trend for this domain is process automation, saving in this way time for design of new concepts and architectures. Our paper proposes a combination of discovering and processing information stored in documents in order to automate software processes. Copyright © 2009 Universitatea Politehnica Bucuresti.