Intelligent Data Analysis

Journal Title

Intelligent Data Analysis

INTELL DATA ANAL

ISSN / eISSN

1088-467X / 1571-4128

Aims and Scope

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, big data applications, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing. In particular, papers are preferred that discuss development of new AI related data analysis architectures, methodologies, and techniques and their applications to various domains.

Subject Area

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

CiteScore

2.50 View Trend

CiteScore Ranking

Category	Quartile	Rank
Mathematics - Theoretical Computer Science	Q3	#74/127
Mathematics - Computer Vision and Pattern Recognition	Q3	#59/100
Mathematics - Artificial Intelligence	Q3	#200/301

Web of Science Core Collection

Science Citation Index Expanded (SCIE)	Social Sciences Citation Index (SSCI)
Indexed	-

Category (Journal Citation Reports 2023)	Quartile
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE - SCIE	Q4

H-index

43

Country/Area of Publication

NETHERLANDS

Publisher

IOS Press

Publication Frequency

Bimonthly

Annual Article Volume

83

Open Access

NO

Contact

IOS PRESS, NIEUWE HEMWEG 6B, AMSTERDAM, NETHERLANDS, 1013 BG