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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... .................1 Chapter II Creating Strategic Information for Organizations with Structured Text / Roberto Penteado and Eric Boutin ......................................................................................
... tutorial program. Chapter II Creating Strategic Information for Organizations with Structured Text / Roberto Penteado and Eric Boutin ......................................................................................
... create a clustering configuration from what the taxonomy is derived. Experimental results show that the derived taxonomy can demonstrate how the information is interwoven in a comprehensive and concise form. Chapter VI Rule Discovery ...
... creating techniques, methods, and tools to support organizations in discovering useful knowledge from those sources. An important challenge has been brought into the scene for the next 10 years: how can we prepare a real David's Army in ...
... create a clustering configuration from which the taxonomy is derived. Experimental results show that the derived taxonomy can demonstrate how the information is interwoven in a comprehensive and concise form. Chapter VI brings an ...
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 |