Emerging Technologies of Text Mining: Techniques and Applications: Techniques and Applicationsdo Prado, Hercules Antonio, Ferneda, Edilson IGI Global, 2007 M10 31 - 376 páginas 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. |
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... methods involved in the rule extraction process are described, including the inductive learning method and the inference method involved. Two applications, one for analyzing daily business reports and another for rule discovering from e ...
... methods insufficient for an adequate categorization. Taking into account the application domain particularities and an important drawback in the existing TC solutions, the authors propose their method. An evaluation of this method on ...
... method to help the specialists in searching for a consensus when analyzing a given clustering configuration. This method, grounded in speech acts like affirmations, declarations, assessments, and so on, fits naturally as a pathway for ...
... methods involved in the rule extraction process are described, including the inductive learning method, and the inference method involved. Two applications, one for analyzing daily business reports and other for rule discovering from e ...
... methods insufficient for an adequate categorization. Taking into account the application domain particularities and an important drawback in the existing TC solutions, the authors propose their method. An evaluation of this method on ...
Contenido
1 | |
Creating Strategic Information for Organizations with Structured Text | 34 |
Automatic NLP for Competitive Intelligence | 54 |
Mining Profiles and Definitions with Natural Language Processing | 77 |
Deriving Taxonomy from Documents at Sentence Level | 99 |
Rule Discovery from Textual Data | 120 |
Exploring Unclassified Texts Using Multiview Semisupervised Learning | 139 |
A MultiAgent Neural Network System for Web Text Mining | 162 |
AntWebWeb Search Based on Ant Behavior Approach and Implementation in Case of Interlegis | 208 |
Conceptual Clustering of Textual Documents and Some Insights for Knowledge Discovery | 223 |
A Hierarchical Online Classifier for Patent Categorization | 244 |
Text Mining to Define a Validated Model of Hospital Rankings | 268 |
An Interpretation Process for Clustering Analysis Based on the Ontology of Language | 297 |
Compilation of References | 321 |
About the Contributors | 348 |
Index | 355 |
Otras ediciones - Ver todas
Emerging Technologies of Text Mining: Techniques and Applications Hercules Antonio do Prado,Edilson Ferneda Sin vista previa disponible - 2008 |