Advances in Data Analysis and Classification

Journal Title

Advances in Data Analysis and Classification

ADV DATA ANAL CLASSI

ISSN / eISSN

1862-5347 / 1862-5355

Aims and Scope

The international journal Advances in Data Analysis and Classification (ADAC) is designed as a forum for high standard publications on research and applications concerning the extraction of knowable aspects from many types of data. It publishes articles on such topics as structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering, and pattern recognition methods; strategies for modeling complex data and mining large data sets; methods for the extraction of knowledge from data, and applications of advanced methods in specific domains of practice. Articles illustrate how new domain-specific knowledge can be made available from data by skillful use of data analysis methods. The journal also publishes survey papers that outline, and illuminate the basic ideas and techniques of special approaches.

Subject Area

STATISTICS & PROBABILITY

CiteScore

3.40 View Trend

CiteScore Ranking

Category	Quartile	Rank
Mathematics - Statistics and Probability	Q1	#68/278
Mathematics - Applied Mathematics	Q2	#190/635
Mathematics - Computer Science Applications	Q3	#443/817

Web of Science Core Collection

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

Category (Journal Citation Reports 2024)	Quartile
STATISTICS & PROBABILITY	Q2

H-index

23

Country/Area of Publication

GERMANY

Publisher

Springer Berlin Heidelberg

Publication Frequency

4 issues per year

Year Publication Started

2007

Annual Article Volume

41

Open Access

NO

Contact

TIERGARTENSTRASSE 17, HEIDELBERG, GERMANY, D-69121