KDDA - Knowledge Discovery and Data Analysis

Areas of interest

Areas of interest include, but are not limited to :

Data mining foundations and theory
Data mining algorithms (supervised, semi-supervised and unsupervised)
Mining large-scale data
Mining spatial and temporal data, text, web, graph, stream data, image, video,multimedia
Applications of data mining: web, multimedia, finance, genomics, bioinformatics, social sciences and social networks
Methods for analyzing scientific data
Statistical techniques for big data
Systems for large-scale data
Big Data placement, scheduling, and optimization
Techniques, processes, and methods for collecting and analyzing Big Data
Parallel and distributed data mining (Cloud, MPI, Hadoop MapReduce)

Foundational models for Big Data
Algorithms and programming techniques for Big Data
Big Data search and mining
Data integration and indexing for data mining
KDD methodology and process
Security and privacy issues in data mining and Big Data
Information Retrieval for digital libraries and scientific information portal
Information Retrieval for scientific domains, e.g. social sciences, life sciences, etc.
Query expansion and relevance feedback approaches
Classification, categorization and clustering approaches
Information extraction (including topic detection, entity and relation extraction)
Recommendations based on explicit and implicit user feedback

Scientific Committee

Ahmed Moussa, ENSA, Université Abdelmalek Essaadi (Tanger, Maroc)

Alexey Lastovetsky, UCD School Of Computer Science & Informatics (Dublin, Irland)

Alexios Kotsifakos, Software Engineer at Microsoft (Redmond, USA)

Antoni Ligęza, AGH University of Science and Technology (Kraków, Poland)

Athman Bouguettaya, RMIT University (Australia)

Boualem Benattallah, University of New South Wales (Australia)

Can Wang, College of Computer Science, Zhejiang University (China)

Chalal Rachid, ESI, École Nationale Supérieure d'Informatique (Algiers, Algeria)

Chiraz Laatiri, ISAMM Manouba (Tunisie)

Christos Makris, University of Patras (Greece)

Daniela Barreiro Claro, Federal University of Bahia (Brazil)

Domenico Talia, Università della Calabria (Italy)

Donato Malerba, Università degli Studi di Bari Aldo Moro (Italy)

Edgar Meij, Yahoo Labs, Barcelona (Spain)

Faical Azouaou, ESI, École Nationale Supérieure d'Informatique (Algiers, Algeria)

Fikret Gurgen, Bogazici University, Istambul (Turkey)

Florin Rusu, University of (California, USA)

Genoveva Vargas, Solar | CNRS | LIG-LAFMIA (France)

Ghomari Abdessamed Réda, ESI, École Nationale Supérieure d'Informatique (Algiers, Algeria)

Hafida Bouarfa-Abded, Université de Blida (Blida, Algeria)

Halis Altun, Nigde University Engineering (Turkey)

Hoai An Le Thi, Université de Lorraine Metz (France)

Huayu Wu, Institute for Infocomm Research (I2R) (Singapore, Malaysia)

Jaap Kamps, Faculty of Humanities, University of Amsterdam (Netherlands)

Jean Martinet, University of Lille (France)

Jean-Marc Petit, ENSA de Lyon (France)

Lahouari Nourine, Universiy of Blaise Pascal, Clermont-Ferrand (France)

Lakhdar Sais, Université d'Artois (France)

Marenglen Biba, University of New York Tirana (Albania)

Maribel Yasmina Santos, University of Minho (Portugal)

Marin Krulis, Charles University (Prague, Czech)

Mathias Gery, Université Jean Monnet Saint-Etienne (France)

Mohamed Zaki, Rensselaer Polytechnic Institute, New York (USA)

Mohand Boughanim, Université Paul Sabatier (Toulouse, France)

Mohand-Said Hacid, Université Claude Bernard Lyon 1 (France)

Nader Fahima, ESI, École Nationale Supérieure d'Informatique (Algiers, Algeria)

Norbert Gülke, Leibniz-FH - School of business, Hannover (Deutschland)

Osmar R. Zaïane, University of Alberta (Canada)

Pascal Poncelet, Université Montpellier 2 (France)

Petra Perner, Institute of Computer Vision and Applied Computer Sciences (Leipzig, Germany)

Qin Zhang, Indiana University (Bloomington, USA)

Rui Wang, University of Massachusetts (USA)

Schahram Dustdar, Vienna University of Technology (Austria)

Si Mohammed Malik, ESI, École Nationale Supérieure d'Informatique (Algiers, Algeria)

Stéphane Marchand-Maillet, University of Geneva (Switzerland)

Tahar Kechadi, University College Dublin Belfield (Ireland)

Tanu Malik, University of Chicago (USA)

Thomas Triplet, Computer Research Institute of Montreal - CRIM (Canada)

Tommi A Pirinen, Dublin City University (Ireland)

Wei Gao, Qatar Computing Research Institute (Qatar)

Yahya Slimani, ISAMM, Université de la Manouba (Tunisia)

Yanchang Zhao, RDataMining (Australia)

Yannis Tzitzikas, University of Crete (Greece)

Yuqing Melanie Wu, Indiana University (Bloomington, USA)

Zeyar Aung, Institute of Science and Technology - Abu Dhabi (United Arab Emirates)

Prof. Dr. Bekir KARLIK, Selcuk University, Dept of Computer Eng (Konya-TURKIYE)

Organization Committee

Fatima Si-Tayeb, ESI, Oued-Smar (Algeria), Chair

Nacera Cherid, ESI, Oued-Smar (Algeria)

Mohamed-El Hadi Benelhadj, Université de Constantine 2 (Algeria)

Hachemi Dellys, ESI, Oued-Smar (Algeria)

Souhila Sadeg, ESI, Oued-Smar (Algeria)

Lila Meziani, ESI, Oued-Smar (Algeria)

Daoud Boumazouza, ESI, Oued-Smar (Algeria)

Riad Hadji, ESI, Oued-Smar (Algeria)

Yacine Challal, ESI, Oued-Smar (Algeria)

Djahida Belayadi, ESI, Oued-Smar (Algeria)

Lilia Zaouche, ESI, Oued-Smar (Algeria)

Lynda Bounif, ESI, Oued-Smar (Algeria)

Fahima Nader, ESI, Oued-Smar (Algeria)

Moez Ben HajHmida, ENIT, (Tunisia)

Mohamed Bellal, ESI, Oued-Smar (Algeria)

Amina Lammari, ESI, Oued-Smar (Algeria)

Naima Lounes, ESI, Oued-Smar (Algeria)

Lydia Bouzar, ESI, Oued-Smar (Algeria)

Boualem Khelouat, ESI, Oued-Smar (Algeria)

Adel Boukhadra, ESI, Oued-Smar (Algeria)

Leïla Hamdad, ESI, Oued-Smar (Algeria)

Amina Anane, ESI, Oued-Smar (Algeria)

Lakhdar Laib, ESI, Oued-Smar (Algeria)

Mohammed El Amine Tali, ESI, Oued-Smar (Algeria)

Mohammed Benali, ESI, Oued-Smar (Algeria)

Seyf Eddine, ESI, Oued-Smar (Algeria)

Information to authors

Authors are welcome to submit original contributions on all aspects of Knowledge Discovery and Data Analysis, ranging from theoretical foundations to novel models and algorithms for data mining problems in science, business, medicine, and engineering. Papers on new and emerging topics are also welcome, as are application-oriented papers that make innovative technical contributions to research. As a rule, all the contributions will be peer-reviewed by three members of the Program Committee. All the accepted contributions will be published in the proceedings book of the conference. Authors are invited to electronically submit original research contributions or experience reports in English. The submitted manuscript should closely reflect the final paper as it will appear in the proceedings.

Formatting instructions

Your paper should not exceed 12 pages including all text, figures, tables, and references, and be formatted to Lecture Notes of Computer Science (LNCS) Series by Springer-Verlag (see Information for LNCS Authors)(http://www.springer.de/comp/lncs/authors.html). Only papers in PDF format will be accepted. Any submission that exceeds length limits or deviates from formatting requirements may be rejected without review. Only papers using the LaTeX typesetting system will be accepted. All submitted papers will be judged through triple-blind reviewing, where the identities of the authors are withheld from the reviewers. As an author, you are required to make a good-faith effort to preserve the anonymity of your submission, while at the same time allowing the reader to fully grasp the context of related past work, including your own. Common sense and careful writing will go a long way towards preserving anonymity. Please take the following steps when preparing your submission:

Remove the names and affiliations of authors from the title page.
Remove acknowledgment of identifying names and funding sources.
Use care in naming your files. Source file names (e.g., "Alice-n-Bob.dvi") are often embedded in the final output as readily accessible comments.
Use care in referring to related work, particularly your own. Do not omit references to provide anonymity, as this leaves the reviewer unable to grasp the context. Instead, reference your past work in the third person, just as you would any other piece of related work by another author.

Download Manuscript Formatting Guidelines

Paper submission

We invite submission of high-quality papers reporting original research on all aspects of Knowledge Discovery and Data Analysis. We especially encourage submissions that promote the advancement of KDDA as a scientific and engineering discipline and submissions that bridge between different disciplines. All submitted papers will be judged based on their technical soundness, potential impact, rigor, significance, originality, repeatability, relevance, and clarity. Papers submitted to KDDA’2015 should be original work, not previously published in a peer reviewed conference or journal. Substantially similar versions of the paper submitted to KDDA’2015 should not be under review in another peer-reviewed conference or journal during the KDDA’2015 reviewing period. Duplicate submissions are not allowed. Authors are expected to agree to the terms presented below.

Electronic submission

The papers, in PDF format, must be submitted only electronically before the submission deadline (See Important dates). The submission site will be open from July 15, 2015. All abstracts, submissions and reviews are handled by the Easy Chair conference system (https://easychair.org/conferences/?conf=kdda2015). The accepted papers from this conference will be submitted for possible publication in several indexed special issues of prestigious international journals. Distinguished papers, after further revisions, will be submitted for inclusion into a Special Issue of J.UCS journal (http://www.jucs.org/). The aim of this special issue is to select and publish papers that provide new advances and address new problems and challenges in Knowledge Discovery and Data Analysis.

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