![]() Institute of Science and Technology, Federal University of Sao Pauloĭepartment of Information and Knowledge Engineering, University of Economicsįaculty of Computer and Information ScienceĬomputer Science Department, Carlos III University of Madridĭepartment of Engineering Science, National Cheng Kung Universityĭepartment of Cognitive Science and Artificial Intelligence, Tilburg University Wood Centre for Innovation Stansfeld Park, Quarry RdĬampus de Montegancedo / Scientific and Technological Parkįaculty of Information Technology, Mutah University ![]() For all enquiries regarding the submission of your manuscript please contact the IDA journal editor: Peña Please prepare your manuscripts in single-space, and include figures and tables in the body of the text where they are referred to. ![]() Manuscripts should be submitted in PDF format only. Papers published in this journal are geared heavily towards applications, with an anticipated split of 70% of the papers published being applications-oriented, research and the remaining 30% containing more theoretical research. In particular, papers are preferred that discuss the development of new AI-related data analysis architectures, methodologies, and techniques and their applications to various domains. ![]() These techniques include (but are not limited to): all areas of data visualization, data pre-processing (fusion, editing, transformation, filtering, sampling), data engineering, database mining techniques, tools and applications, use of domain knowledge in data analysis, big data applications, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing. Intelligent Data Analysis provides a forum for the examination of issues related to the research and applications of Artificial Intelligence techniques in data analysis across a variety of disciplines. ![]()
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