Text Mining to Define a Validated Model of Hospital Rankings

Text Mining to Define a Validated Model of Hospital Rankings

Patricia Bintzler Cerrito (University of Louisville, USA)
Copyright: © 2008 |Pages: 29
DOI: 10.4018/978-1-59904-373-9.ch013
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Abstract

The purpose of this chapter is to demonstrate how text mining can be used to reduce the number of levels in a categorical variable to then use the variable in a predictive model. The method works particularly well when several levels of the variable have the same identifier so that they can be combined into a text string of variables. The stemming property of the linked words is used to create clusters of these strings. In this chapter, we validate the technique through kernel density estimation, and we compare this technique to other techniques used to reduce the levels of categorical data.

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Dedication
Table of Contents
Foreword
Cláudio Chauke Nehme
Preface
Hercules Antonio do Prado, Edilson Ferneda
Acknowledgment
Hercules Antonio do Prado, Edilson Ferneda
Chapter 1
Jie Tang, Mingcai Hong, Duo Liang Zhang, Juanzi Li
This chapter is concerned with the methodologies and applications of information extraction. Information is hidden in the large volume of web pages... Sample PDF
Information Extraction: Methodologies and Applications
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Chapter 2
Roberto Penteado, Eric Boutin
The information overload demands that organizations set up new capabilities concerning the analysis of data and texts to create the necessary... Sample PDF
Creating Strategic Information for Oranizations with Structured Text
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Chapter 3
Christian Aranha, Emmanuel Passos
This chapter integrates elements from Natural Language Processing, Information Retrieval, Data Mining and Text Mining to support competitive... Sample PDF
Automatic NLP for Competitive Intelligence
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Chapter 4
Horacio Saggion
Free text is a main repository of human knowledge, therefore methods and techniques to access this unstructured source of knowledge are of paramount... Sample PDF
Mining Profiles and Definitions with Natural Language Processing
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Chapter 5
Ying Liu, Han Tong Loh, Wen Feng Lu
This chapter introduces an approach of deriving taxonomy from documents using a novel document profile model that enables document representations... Sample PDF
Deriving Taxonomy from Documents at Sentence Level
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Chapter 6
Shigeaki Sakurai
This chapter introduces knowledge discovery methods based on a fuzzy decision tree from textual data. It argues that the methods extract features of... Sample PDF
Rule Discovery from Textual Data
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Chapter 7
Edson Takashi Matsubara, Maria Carolina Monard, Ronaldo Cristiano Prati
This chapter presents semi-supervised multi-view learning in the context of text mining. Semi-supervised learning uses both labelled and unlabelled... Sample PDF
Exploring Unclassified Texts Using Multiview Semisupervised Learning
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Chapter 8
Lean Yu, Shouyang Wang, Kin Keung Lai
With the rapid increase of the huge amount of online information, there is a strong demand for Web text mining which helps people discover some... Sample PDF
A Multi-Agent Neural Network System for Web Text Mining
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Chapter 9
Jon Atle Gulla, Hans Olaf Borch, Jon Espen Ingvaldsen
Due to the large amount of information on the web and the difficulties of relating user’s expressed information needs to document content... Sample PDF
Contextualized Clustering in Exploratory Web Search
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Chapter 10
Li Weigang, Wu Man Qi
This chapter presents a study of Ant Colony Optimization (ACO) to Interlegis Web portal, Brazilian legislation Website. The approach of AntWeb is... Sample PDF
AntWeb—Web Search Based on Ant Behavior: Approach and Implementation in Case of Interlegis
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Chapter 11
Leandro Krug Wives, José Palazzo Moreira de Oliveira, Stanley Loh
This chapter introduces a technique to cluster textual documents using concepts. Document clustering is a technique capable of organizing large... Sample PDF
Conceptual Clustering of Textual Documents and Some Insights for Knowledge Discovery
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Chapter 12
Domonkos Tikk, György Biro, Attila Törcsvári
Abstract: Patent categorization (PC) is a typical application area of text categorization (TC). TC can be applied in different scenarios at the work... Sample PDF
A Hierarchical Online Classifier for Patent Categorization
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Chapter 13
Patricia Bintzler Cerrito
The purpose of this chapter is to demonstrate how text mining can be used to reduce the number of levels in a categorical variable to then use the... Sample PDF
Text Mining to Define a Validated Model of Hospital Rankings
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Chapter 14
Wagner Francisco Castilho, Gentil José de Lucena Filho, Hércules Antonio do Prado, Edilson Ferneda
Clustering analysis (CA) techniques consist in, given a set of objects, estimating dense regions of points separated by sparse regions, according to... Sample PDF
An Interpretation Process for Clustering Analysis Based on the Ontology of Language
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About the Contributors