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CALL FOR CHAPTERS - Emerging Technologies of Text Mining: Techniques and Applications

From: Fred Freitas <fred_freitas_br@yahoo.com.br>
Date: Tue, 03 Jan 2006 15:35:21 -0300
Message-ID: <43BAC3E9.8040007@yahoo.com.br>
To: undisclosed-recipients:;

Apologies for multiple postings.


Submission Deadline: March 15, 2006

Emerging Technologies of Text Mining: Techniques and Applications

A book edited by Dr. Hércules Antonio do Prado, Embrapa Food Technology 
and Dr. Edilson Ferneda, Catholic University of Brasília


Text Mining (TM) can be defined as the application of computational 
methods and techniques over textual data in order to find relevant and 
intrinsic information and previously unknown knowledge. TM techniques 
can be organized into four categories: classification, association 
analysis, information extraction, and clustering. Classification 
techniques consist of the allocation of objects into predefined classes 
or categories. Association analysis can be applied to help the 
identification of words or concepts that occur together and to 
understand the contents of a document or a set of documents. Information 
extraction techniques are able to find relevant data or expressions 
inside documents. Clustering is applied to discover underlying 
structures of a documents set. TM is an effective alternative to 
approach the problem posed by the large (and increasing) amount of 
textual information existing in the organizations.

The Overall Objective of the Book

This book aims to provide the audience with technical information on the 
computational models that are on the basis of the TM process, provide 
the methodological support to apply those techniques in real world 
situations, bring successful experiences and results regarding to the 
application of TM in real world problems solution, and point out new 
trends in this field.

The Target Audience

This book is addressed to the public interested in TM techniques and 
their applications to transform in competitive advantage the vast amount 
of textual information existing nowadays in organizations. Professionals 
of Information Technology, systems managers, undergraduate and graduate 
teachers, and students are among the people that can benefit from this book.

Recommended topics include, but are not limited to, the following:

Algorithms and techniques for Text Mining

Classification and/or clustering approaches

Frameworks of tools/methodologies

Methodologies for guiding application development

Hybrid applications mixing structured and non structured data in text mining

Real world applications and cases

Text Mining in the context of Business and Competitive Intelligence

New trends in Text Mining


Researchers and practitioners are invited to submit on or before March 
15, 2006, a 2-5 page manuscript proposal clearly explaining the mission 
and concerns of the proposed chapter. Authors of accepted proposals will 
be notified by April 15, 2006 about the status of their proposals and 
sent chapter organizational guidelines. Full chapters are expected to be 
submitted by July 15, 2006. All submitted chapters will be reviewed on a 
double-blind review basis. The book is scheduled to be published by Idea 
Group Inc., www.idea-group.com, publisher of the Idea Group Publishing, 
Information Science Publishing, IRM Press, CyberTech Publishing and Idea 
Group Reference imprints.

Inquiries and submissions can be forwarded electronically (Word 
document) or by mail to:

Dr. Hércules Antonio do Prado

Information Technology Department

Embrapa Food Technology

Tel.: +55 21 2410 9557 • Fax: +55 21 2410 9010

E-mail: hercules@ctaa.embrapa.br


Fred Freitas
Associate Professor
Centro de Informática - CIn
Universidade Federal de Pernambuco - UFPE - Brazil
Phone: +55 81 2126 8430 r. 4345

Research interests: Ontologies, semantic web, ontology-based text processing


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Received on Wednesday, 4 January 2006 03:26:34 UTC

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