Intelligent Data Analysis

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.
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, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing. In particular, we prefer papers that discuss development of new AI architectures, methodologies, and techniques and their applications to the field of data analysis.
Papers published in this journal are geared heavily towards applications, with an anticipated split of 70% of the papers published being applications-oriented, and the remaining 30% containing more theoretical material.

Formerly published as an electronic journal - for 1999 will be published as a paper journal with electronic access.