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. |
Dentro del libro
Resultados 1-5 de 74
... Discovery from Textual Data / Shigeaki Sakurai .......................................................................120 Chapter VII Exploring Unclassified Texts Using Multiview Semisupervised Learning / Edson Takashi Matsubara, Maria ...
... Discovery / Leandro Krug Wives, José Palazzo Moreira de Oliveira, and Stanley Loh........................................223 Chapter XII A Hierarchical Online Classifier for Patent Categorization / Domonkos Tikk, György Biró, and Attila ...
... Discovery from Textual Data / Shigeaki Sakurai ... discovery from textual data based on a fuzzy decision tree is presented in this chapter. The methods involved in the rule extraction process are described, including the inductive ...
... Discovery / Leandro Krug Wives, José Palazzo Moreira de Oliveira, and Stanley Loh........................................223 Aiming to overcome the semantic mistakes that arise when applying the traditional word-based documents ...
... discovery task, particularly in clustering analysis, is approached in this chapter. In order to deal with the hard burden of subjectivity of this task, the authors built from the Ontology of Language a method to help the specialists in ...
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 |