- Dumitru Dan Burdescu, Marian Cristian Mihăescu
- Mirjana Ivanovic, Faculty of Science, Serbia
- John Tait, johntait.net Ltd.
- Sebastian Ventura, University of Cordoba, Spain
- Dumitru Dan Burdescu, University of Craiova, Romania
- Cristian Marian Mihăescu, University of Craiova, Romania
- Liana Stănescu, University of Craiova, Romania
- Adriana Șchipoiu Burlea, University of Craiova, Romania
- Georgios Paltoglou, University of Wolverhampton, UK
- Costin Badica, University of Craiova, Romania
- Adrian Giurca, Brandenburg University of Technology, Germany
- Guillermo Morales-Luna, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico
- David Camacho, Universidad Autonoma de Madrid, Spain
- David Lamas, Tallinn University, Estonia
- Qi Chun, Xi’an Jiaotong University, P.R.China Che Chern Lin
- Igor Kotenko, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Science, Russian Federation
- Mihai Mocanu, University of Craiova, Romania
- Kazuo Ohzeki, Shibaura Institute of Technology, Japan
- Vladimir Fomichov, State University – Higher School of Economics, Moscow, Russian Federation
- Stefan Trausan-Matu, Politehnica University of Bucharest, Romania
- Jacek Zurada, University of Louisville, USA
- Rajkumar Kannan, Bishop Heber College, India
- Carl James Debono, University of Malta
- Worawan Diaz Carballo, Thammasat University, Thailand
- Maurice Hendrix, Coventry University, U.K.
- Mario Hernández Tejera, University of Las Palmas de Gran Canaria, Spain
- Dalia Kriksciuniene, Vilnius University, Lithuania
- Rodica Potolea, Tehnical University Cluj Napoca, Romania
- Jaime S. Cardoso, Universidade do Porto, Portugal
- Jean-Pierre Gerval, ISEN-Brest, France
- Riri Fitri Sari, University of Indonesia, Indonesia
- Sergio Velastin, Kingston University, UK
- George Thiruvathukal, Loyola University, USA
- Jaime Lloret Mauri, Polytechnic University of Valencia, Spain
- Abdel-Badeeh M. Salem, Ain Shams University, Egypt
- Vladimir Cretu, Politehnica University of Timisoara, Romania
- Daniel Grosu, Wayne State University, USA
- Dan Popescu, CSIRO, Sydney, Australia
- Reggie Kwan, Caritas Francis Hsu College, Hong Kong
- Richard Chbeir, Bourgogne University, France
- Voicu Groza, University of Ottawa, Canada
- Ayoub Al-Hamadi, Otto-von Guericke University, Germany
- Mathias Lux, Alpen-Adria Universitat Klagenfurt, Austria
- Jose Luna, University of Cordoba, Spain
- Michail Salampasis, Alexander Technological Educational Institute of Thessaloniki, Greece
- Alberto Cano, University of Cordoba, Spain
- Michael Oakes, University of Sunderland, UK
- Juan L. Olmo, University of Cordoba, Spain
- Sabin-Corneliu Buraga, A. I. Cuza University, Romania
- Asa Smedberg, Stockholm University, Sweden
Background and Goals:
Intelligent Data Analysis is one of the most interesting research areas in Computing and more specifically with great impact in Computer Science, Information Systems, Information Technology and Software Engineering.
Building Intelligent Data Analysis Systems requires integration of Machine Learning, Information Retrieval, Data Mining algorithms into specific application domains. The main issues are to design, develop and implement effective Intelligent Data Analysis Systems that improve currently existing applications. Such systems mainly rely upon activity data produced by the system itself and on a custom designed data analysis process that produces desired knowledge according with certain constraints set up by a domain expert.
We want to bring together researchers from diverse disciplines and we want to achieve a balance of presentations from the more theoretical side (both statistics and computer science) as well as more application oriented areas that illustrate how these techniques can be used in practice. The field of software engineering turns out to be a fertile ground where many software development and maintenance tasks could be formulated as learning problems and approached in terms of learning algorithms.
The session targets research efforts that have as outcome progress in building Intelligent Systems in any application domains such as Image and Video Processing, Multimedia Systems, E-Learning, E-Commerce, E-Society Applications, Medical Applications.
Any data analysis process, which analyse data generated by any information system, may have as output an Intelligent System. Adaptation of existing or development of new data analysis processes that use techniques from areas of Artificial Intelligence – Intelligent Systems such as statistics, machine learning, information retrieval, data mining, recommender systems or scientific computing are welcomed.
Call for Papers
The session targets innovative work on presenting Intelligent Systems, systems that are self-adaptive, systems that improve their own performance, or systems that use state of the art data analysis processes.
The aim of the workshop is to provide an internationally respected forum for scientific research in the technologies and applications of intelligent and interactive multimedia systems and services. The workshop will be co-located with The Sixth International Conference on Information, Intelligence, Systems and Applications (IISA 2015).
We welcome presentation of innovative applications, theoretical contributions or empirical studies. There are highly appreciated submissions that bridge the gap between intelligent data analysis and other fields of research or application domains.
The 2-nd IDAIR Workshop welcomes submissions of original papers concerning all aspects of Intelligent Systems domain ranging from concepts and theoretical developments to advanced technologies and innovative applications.
Suggested topics include, but are not limited to, the following:
• Intelligent Information Systems in e-Business and e-Commerce
• Intelligent Information Systems in e-Health
• e-Learning and Information Systems
• Expert systems
• Web and Knowledge-Based Information Systems
• Medical Informatics and Biomedical Engineering
• Educational Data Mining
• Visualization and Data Mining
• Machine learning and information retrieval
• Machine learning in industrial and engineering applications
• Knowledge discovery in databases
• Information Systems in Multimedia
• Intelligent Profiling and Personalisation
• Best practices for adaptation of Intelligent Data Analysis to educational context
• Modelling and evaluation of Intelligent Data Analysis
• Accessibility and Computers
• Human-Computer Interaction and Information Retrieval
• Recommender Systems
• Qualitative data analysis and measurement
• Agent and Multi-Agent Systems
Instructions for Authors
Papers must correspond to the requirements detailed in the Submission of Papers which are placed on the Conference Web Site, http://iisa2015.unipi.gr/call-for-papers/
All papers must be presented by one of the authors, who must be registered in advance. Authors must submit paper through EasyChair online paper submission system
Accepted papers will be published by Springer Verlag, as book chapters in a volume of the KES /
Springer series in Smart Innovation, Systems and Technology, indexed in ISI conference publications, Elsevier’s Scopus, INSPEC, etc. Please contact the publisher for more information about this.
Extended versions of selected papers presented during the conference will be published as Special Issue(s) in the Journal of Computer Science & Applications (http://www.tmrfindia.org/ijcsa.html ).
•Submission of Papers: February 27, 2015
•Notification of Acceptance: March 27, 2015
•Camera-ready paper submission: April 15, 2015
Email & Contact Details:
Dumitru Dan Burdescu, University of Craiova, firstname.lastname@example.org
Marian Cristian Mihăescu, University of Craiova, email@example.com