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.

Supported by the International Federation of Classification Societies, and funded by the Italian, German, and Japanese Classification Societies (CLADAG, GfKl, JCS).

Officially cited as: Adv Data Anal Classif

  • Presents research and applications on the extraction of knowable aspects from many types of data
  • Topics include 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
  • Shows how new domain-specific knowledge can be made available from data by skillful use of data analysis methods

Journal information

Editors
  • Maurizio Vichi,
  • Andrea Cerioli,
  • Hans A. Kestler,
  • Akinori Okada,
  • Claus Weihs
Publishing model
Hybrid (Transformative Journal). Learn about publishing Open Access with us

Journal metrics

1.603 (2019)
Impact factor
1.888 (2019)
Five year impact factor
74 days
Submission to first decision
407 days
Submission to acceptance
45,020 (2019)
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Latest issue

Volume 14

Issue 4, December 2020

Special issue on “Learning in data science: theory, methods and applications”

Latest articles

This journal has 43 open access articles

Journal updates

  • COVID-19 and impact on peer review

    As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times.  Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.

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About this journal

Electronic ISSN
1862-5355
Print ISSN
1862-5347
Abstracted and indexed in
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  3. ANVUR
  4. CNKI
  5. DBLP
  6. Dimensions
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  8. EI Compendex
  9. Google Scholar
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  12. Institute of Scientific and Technical Information of China
  13. Japanese Science and Technology Agency (JST)
  14. Journal Citation Reports/Science Edition
  15. Mathematical Reviews
  16. Naver
  17. OCLC WorldCat Discovery Service
  18. ProQuest Advanced Technologies & Aerospace Database
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  22. ProQuest-ExLibris Primo
  23. ProQuest-ExLibris Summon
  24. Psyndex
  25. SCImago
  26. SCOPUS
  27. Science Citation Index Expanded (SciSearch)
  28. TD Net Discovery Service
  29. UGC-CARE List (India)
  30. WTI Frankfurt eG
  31. zbMATH
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