Intelligent Text Categorization and Clustering
(Sprache: Englisch)
Automatic Text Categorization and Clustering are becoming more and more important as the amount of text in electronic format grows and the access to it becomes more necessary and widespread. Well known applications are spam filtering and web search, but a...
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Automatic Text Categorization and Clustering are becoming more and more important as the amount of text in electronic format grows and the access to it becomes more necessary and widespread. Well known applications are spam filtering and web search, but a large number of everyday uses exist (intelligent web search, data mining, law enforcement, etc.) Currently, researchers are employing many intelligent techniques for text categorization and clustering, ranging from support vector machines and neural networks to Bayesian inference and algebraic methods, such as Latent Semantic Indexing.
This volume offers a wide spectrum of research work developed for intelligent text categorization and clustering. In the following, we give a brief introduction of the chapters that are included in this book.
This volume offers a wide spectrum of research work developed for intelligent text categorization and clustering. In the following, we give a brief introduction of the chapters that are included in this book.
Klappentext zu „Intelligent Text Categorization and Clustering “
Automatic Text Categorization and Clustering are becoming more and more important as the amount of text in electronic format grows and the access to it becomes more necessary and widespread. Well known applications are spam filtering and web search, but a large number of everyday uses exist (intelligent web search, data mining, law enforcement, etc.) Currently, researchers are employing many intelligent techniques for text categorization and clustering, ranging from support vector machines and neural networks to Bayesian inference and algebraic methods, such as Latent Semantic Indexing. This volume offers a wide spectrum of research work developed for intelligent text categorization and clustering. In the following, we give a brief introduction of the chapters that are included in this book.
Automatic Text Categorization and Clustering are becoming more and more important as the amount of text in electronic format grows and the access to it becomes more necessary and widespread. Well known applications are spam filtering and web search, but a large number of everyday uses exist (intelligent web search, data mining, law enforcement, etc.) Currently, researchers are employing many intelligent techniques for text categorization and clustering, ranging from support vector machines and neural networks to Bayesian inference and algebraic methods, such as Latent Semantic Indexing.
This volume offers a wide spectrum of research work developed for intelligent text categorization and clustering. In the following, we give a brief introduction of the chapters that are included in this book.
This volume offers a wide spectrum of research work developed for intelligent text categorization and clustering. In the following, we give a brief introduction of the chapters that are included in this book.
Inhaltsverzeichnis zu „Intelligent Text Categorization and Clustering “
- Gene Selection from Microarray Data- Preprocessing Techniques for Online Handwriting Recognition
- A Simple and Fast Term Selection Procedure for Text Clustering
- Bilingual Search Engine and Tutuoring System Augmented with Quary Expansion
- Comparing Clustering on Symbolic Data
- Exploring a Genetic Algorithm for Hypertext Documents Clustering
Bibliographische Angaben
- 2008, XIV, 120 Seiten, Masse: 16 x 24,1 cm, Gebunden, Englisch
- Herausgegeben: Felipe M. G. França, Alberto Ferreira de Souza
- Verlag: Springer, Berlin
- ISBN-10: 3540856439
- ISBN-13: 9783540856436
- Erscheinungsdatum: 01.10.2008
Sprache:
Englisch
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