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, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing.
| YEAR | Impact Factor |
|---|---|
| 2023-24 | 0.9 |
| 2022 | 1.7 |
| 2021 | 1.321 |
Intelligent Data Analysis, 1088-467X, 1997-ongoing, Computer Science,Mathematics.