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Special Sessions

Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), DBLP, EI (Elsevier Engineering Village Index), Scopus, Semantic Scholar and Google Scholar.


SPECIAL SESSIONS LIST

SSTM 2013Special Session on Text Mining
Chair(s): Ana Fred

SNAM 2013Special Session on Social Network Analysis and Mining
Chair(s): Carmen Morgado

Special Session on Text Mining - SSTM 2013



Chair

Ana Fred
Instituto de Telecomunicações and University of Lisbon
Portugal
e-mail
 
Scope

With the increasing popularity and availability of Internet-based technologies, as well as the proliferation of digital computing devices and their use in communication, huge amounts of Human generated content is produced every day in the form of documents, email, instant messaging, social network sites, blogs, and other textual corpora. As a result, we have witnessed an increased demand for systems and algorithms capable of mining textual data, seeking interesting characteristics, hidden patterns, structure, trends, knowledge and key relationships within these large textual corpora. Text mining, combining the disciplines of data mining, information extraction, information retrieval, text categorization, probabilistic modeling, linear algebra, machine learning, and computational linguistics, is a new interdisciplinary field that emerged to address these issues. Examples of emergent applications include metadata generation, visualization techniques, information extraction, text segmentation and classification, text summarization, and trend analysis, to name a few.


Special Session on Social Network Analysis and Mining - SNAM 2013



Chair

Carmen Morgado
New University of Lisbon
Portugal
e-mail
 
Scope

Social networks have become an increasingly popular communication tool, making more and more part of our every day life. More and more people use social networks as a quick and easy way to communicate, share information and also to find contents and contacts. As a consequence of this there is an increasing amount of information offered to users.
But not all the information is important or relevant to all users to whom it is offered. So there is a need of mechanisms to help users in selecting and filtering the information based on the analysis of the social network and on its users profiles, behaviors and contents. In order to accomplish this there is an increasing need to understand the social connections and behaviors within these networks and also analyze and manage the information that exists in these systems.



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