Annual Report on the Journal “Advances in Data Analysis and Classification (ADAC)”

By | 11. January 2019

With four issues and 995 pages, last year’s volume 12 (2018) of the magazine “Advances in Data Analysis and Classification (ADAC)” has set a new page record . As a reminder: Volume 1 (2007) had only three issues with a total of 291 pages, Volume 10 (2016) had still 583 pages. With the rapid processing of the existing backlog, the waiting time between accepting a work and publishing it in the printed magazine has been considerably shortened (in general, however, the manuscripts are listed on the Springer website shortly after acceptance as “OnlineFirst”).

Volume 12 (2018) included two books of “regular” articles and two Special Issues on “Analysis of Asymmetric Relationships”(Issue 1, Guest Editors: Giuseppe Bove and Akinori Okada) and “Science of Big Data: Theory, Methods and Applications” (Issue 4, Guest Editors: Hans A. Kestler, Paul D. McNicholas, Adalbert F.X. Wilhelm). Listed below are only the works from the latest special issue 4 called “Science of Big Data”:

  • “Ensemble of a subset of kNN classifiers” by Asma Gul, Aris Perperoglou, Zardad Khan, Osama Mahmoud, Miftahuddin Miftahuddin, Werner Adler and Berthold Lausen,
  • “Understanding non-linear modeling of measurement invariance in heterogeneous populations” by Deana Desa,
  • “A comparative study on large scale kernelized support vector machines” by Daniel Horn, Aydim Demircioğlu, Bernd Bischl, Tobias Glasmachers and Claus Weihs,
  • “A computationally fast variable importance test for random forests for high-dimensional data” by Silke Janitza, Ender Celik und Anne-Laure Boulesteix,
  • “Rank-based classifiers for extremely high-dimensional gene expression data” by Ludwig Lauser, Florian Schmidt, Lyn-Rouven Schirra, Adalbert F.X. Wilhel und Hans A. Kestler,
  • “Ensemble feature selection for high dimensional data: a new method and a comparative study” by Afef Ben Brahi und Mohamed Limam,
  • “An efficient random forests algorithm for high dimensional data classification” by Qiang Wang, Thanh-Tung Nguyen, Joshua Z. Huang und Thuy Thi Nguyen,
  • “Equi-Clustream: a framework for clustering time evolving mixed data” by Ravi Sankar Sanga und Hari Om.

A complete list of all articles (since 2007) published in ADAC can be found on the GfKl website under “Publication and Publishing / Journal ADAC”. The 2-year impact factor (= 1.653 in 2017) and Google’s h5 index (= 19 in 2017) show that ADAC has received a great deal of attention with numerous downloads. Let yourself be inspired to submit one of your own publications to ADAC so that GfKl will continue to be adequately represented among the ADAC authors in the future.

More about Advances in Data Analysis and Classification can be found at or