Text Mining: Theory and Application addresses best practices in both the art and science of text mining. It covers the theory and application of algorithmsand related software that facilitate the extraction and tracking of concepts in textual media. This book will feature advances in visual analytics and machine learning, with contributing authors providing illustrative examples of their algorithms/methods for text mining including novel visualization techniquesfor concepts and discussion threads.Michael W. Berry, Professor and Associate Department Head, Department of Electrical Engineering and Computer Science, University of Tennessee. Michael is on the Editorial board of Computing in Science and Engineering and Statistical Analysis and Data Mining Journals. Jacob Kogan Department of Mathematics and Statistics, University of Maryland Baltimore County, USA.
- ISBN: 978-0-470-74982-1
- Editorial: John Wiley & Sons
- Encuadernacion: Cartoné
- Páginas: 224
- Fecha Publicación: 26/03/2010
- Nº Volúmenes: 1
- Idioma: Inglés