Bibliographie
t the 8th International Conference on Computational Collective
Intelligence Technologies and Applications (ICCCI 2016)
Halkidiki, Greece, September 28-30, 2016
Conference website : http://conferences.cwa.gr/iccci2016/
Important dates
Submission of papers : April 1,2016
Notification of acceptance : May 1, 2016
Camera-ready papers : May 15, 2016
Registration & payment : June 15, 2016
Conference date : September 28-30, 2016
Special Session Organizers
Prof. Rim Faiz
Department of Computer Science
IHEC, University of Carthage, Tunisia
Laboratory LARODEC
E-mail : Rim.Faiz@ihec.rnu.tn
Prof. Nadia Essoussi
Department of Computer Science
FSEG Nabeul, University of Carthage, Tunisia
E-mail : nadia.essoussi@isg.rnu.tn
Objectives and topics
The exceptional growth of data sizes available on the Web, especially
with the wide use of social networks has changed data processing. Then,
traditional technologies are unable to handle this massive data. They
presented often multidimensional constraints ; Data come from different
sources with diverse formats, should be treated in real time, and may be
subject to different interpretations depending on the status of the end
user. This is what has led to the emergence of Big Data.
The main challenge of Big Data management lies in both an increasing
volume of streaming data having petabytes size, heterogeneous,
structured (from data warehouse and graph database) or unstructured
(from Web 2 contents, text documents and social networks). It is in the
context of unstructured data that fits the Big Text Mining proposing new
approaches and techniques to transform this massive data into useful
data.
Big Data Mining is part of the effort to improve the process of seeking
new knowledge from large volumes of data. It has become ubiquitous in
understanding and solving complex problems in different fields such as
engineering, healthcare, social networks, commerce, government,
education, medicine, security, computational biology, all search-based
applications...
The objective of this session is to give an overview of the main lines
of this interesting area with its various opportunities and challenges.
The scope of the BigDMS 2016 includes, but is not limited to the
following topics :
- Foundations and computation (Models and Frameworks for Big Data, Graph
Algorithms and Big Data, Computational Intelligence)
- Algorithms for Big data (Simulation and Modeling, Natural Language
Processing, Multidimensional Big Data ...)
- Infrastructure and platforms
- Cloud Computing/ Stream Computing for Big Data
- Big Data Management
- Big Text Mining and Information Extraction
- Big Data Analytics and Information Retrieval
- Web IR and Social Media Search
- Application of Big data
- Big data Visualization
- Data Science
- Recommendation System with Big data
- Machine learning for Big data
- Open data and unstructured data
- Data preservation and provenance
- Web search and information retrieval
- Search and Mining
- Machine learning and AI for big data
- Search Engine Architectures and Scalability
- Computational Modeling and Data Integration
- Link and Graph Mining
- Mobility
- Multimedia and Multi-structured Data
- Big Data and Social Media
- Big Data Privacy and Security
- Big Data Analytics in e-Government and Society
- Big Data Applications : Bioinformatics, Multimedia, Smartphones, etc.
Submission
All contributions should be original and not published elsewhere or
intended to be published during the review period. Authors are invited
to submit their papers electronically in pdf format, through
EasyChair. All the special sessions are centralized as tracks in the
same conference management system as the regular papers. Therefore, to
submit a paper, please activate the following link and select the track :
BigDMS 2016 : Special Session on Big Data Mining and Searching.
https://www.easychair.org/conferences/?conf=iccci2016
Authors are invited to submit original previously unpublished research
papers written in English, of up to 10 pages, strictly following the
LNCS/LNAI format guidelines. Authors can download the Latex
(recommended) or Word templates available at Springer’s web
site. Submissions not following the format guidelines will be rejected
without review. To ensure high quality, all papers will be thoroughly
reviewed by the BigDMS 2016 Program Committee. All accepted papers must
be presented by one of the authors who must register for the conference
and pay the fee. The conference proceedings will be published by
Springer in the prestigious series LNCS/LNAI (indexed by ISI CPCI-S,
included in ISI Web of Science, EI, ACM Digital Library, dblp, Google
Scholar, Scopus, etc.).
Program Committee
Ajith Abraham, Machine Intelligence Research Labs (MIR Labs), Unites States
Thierry Badard, Laval University / Centre for Research in Geomatics, Canada
Hassan Badir, ENSAT Tangier, Morocco
Ismaïl Biskri, Université du Québec à Trois-Rivières, Canada
Ernesto Damiani, University of Milan, Italy
Gayo Diallo, University of Bourgonne, France
Nadia Essoussi, FSEG Nabeul, University of Carthage, Tunisia
Sami Faiz, ISAMM, University of Manouba, Tunisia
Riadh Farah, ISAMM, University of Manouba, Tunisia
Faiez Gargouri, ISIMS, Université de Sfax, Tunisia
Lamia Hadrich Belguith, FSEGS, University of Sfax, Tunisia
Frédéric Hubert, Laval University, Canada
Faouzi Mhamdi, ISLAIB Béja, University of Jendouba, Tunisia
Ahmed Moussa, ENSA, Abdelmalek Essaadi University, Morocco
Maria Malek, EISTI, France
Gabriella Pasi, University of Milan Bicocca, Italy