Emerging Technologies of Text Mining: Techniques and Applications: Techniques and Applications

do Prado, Hercules Antonio · Ferneda, Edilson

oct 2007 · IGI Global

Acerca de este libro electrónico

Massive amounts of textual data make up most organizations' stored information. Therefore, there is increasingly high demand for a comprehensive resource providing practical hands-on knowledge for real-world applications.

Emerging Technologies of Text Mining: Techniques and Applications provides the most recent technical information related to the computational models of the text mining process, discussing techniques within the realms of classification, association analysis, information extraction, and clustering. Offering an innovative approach to the utilization of textual information mining to maximize competitive advantage, Emerging Technologies of Text Mining: Techniques and Applications will provide libraries with the defining reference on this topic.

Acerca del autor

Hércules Antonio do Prado is a researcher in Computer Science at the Brazilian Agricultural Research Corporation (Embrapa Food Technology) and an assistant professor at the Catholic University of Brasília. He received his D.Sc. in Computer Science at the Federal University of Rio Grande do Sul, Brazil (2001) his M.Sc. in Systems Engineering from the Federal University of Rio de Janeiro (1989). In 1999 he joined the Information Sciences Department of University of Pittsburgh as a Visitor Scholar, developing research for his doctoral program. He undergraduated in Computer Systems at the Federal University of São Carlos, Brazil (1976). His research interest includes data/text mining, neural networks, knowledge-based systems, and knowledge management.

Edilson Ferneda is a full professor at the Catholic University of Brasília. He has a D.Sc. in Computer Science from University of Montpellier, France (1992), a M.Sc. in Computer Science from Federal University of Paraíba, Brazil (1988) and undergraduated in Computer Systems at The Aeronautics Technological Institute, Brazil (1979). His research interests include data/text mining, machine learning, knowledge acquisition, knowledge-based systems, CSCL/CSCW, knowledge management and e-learning. [Editor]