Advances in Data Mining, Applications and Theoretical Aspects, Petra Perner (Ed.), 20th Industrial Conference, ICDM 2021, New York, USA, July 14 to July 18 2021, ibai publishing, P-ISSN 1864-9734, E-ISSN 2699-5220, ISBN 978-3-942952-82-8, proceedings.

Proceedings Book

Advances in Data Mining, Applications and Theoretical Aspects

Petra Perner (Ed.)

20th Industrial Conference on Data Mining
ICDM 2021
New York , USA, July 14 to July 18 2021
P-ISSN 1864-9734, E-ISSN 2699-5220, ISBN 978-3-942952-82-8

ibai publishing house

Open Access Proceedings Book ICDM 2021


The twenty-one event of the Industrial Conference on Data Mining ICDM was held in New York again ( running under the umbrella of the World Congress on “The Frontiers in Intelligent Data and Signal Analysis, DSA 2021” ( After the peer-review process, we accepted twenty-four high-quality papers for oral presentation. Ten papers are presented in the proceedings by ibai-publishing. The topics range from theoretical aspects of data mining to applications of data min-ing, such as in multimedia data, in marketing, in medicine and agriculture, and in process control, industry, and society. Extended versions of selected papers will ap-pear in the international journal Transactions on Machine Learning and Data Mining ( In all, six papers were selected for poster presentations and two are published in the ICDM Poster and Industry Proceeding by ibai-publishing ( The acceptance rate was 20%. The list of accepted papers can be found after the conference under The Coro-na situation was still in our control after one and a half years. The tutorial days rounded up the high quality of the conference. Researchers and practitioner`s got an excellent insight in the research and technology of the respective fields, the new trends and the open research problems that we like to study further. A tutorial on Data Mining, a tutorial on Case-Based Reasoning, a tutorial on Intel-ligent Image Interpretation and Computer Vision in Medicine, Biotechnology, Chem-istry and Food Industry, and a tutorial on Standardization in Immunofluorescence were held before and in between the conferences of DSA 2021. We would like to thank all reviewers for their highly professional work and their effort in reviewing the papers. We also thank the members of the Futurelab Artificial Intelligence IBaI-2, Radeberg, Germany (, who handled the conference as secretariat. We appreciate the help and understanding of the editorial staff at ibai-publishing house, who supported the publication of these proceedings ( Last, but not least, we wish to thank all the speakers and participants who contrib-uted to the success of the conference. We hope to see you in 2022 in New York at the next World Congress on The Frontiers in Intelligent Data and Signal Analysis, DSA 2022 (, which combines under its roof the following three events: International Conferences Machine Learning and Data Mining, MLDM (, the Industrial Conference on Data Mining, ICDM (, and the International Conference on Mass Data Analysis of Signals and Images in Medicine, Biotechnology, Chemistry, Biometry, Security, Agriculture, Drug Discovery and Food Industry, MDA (, the workshops and tutorials.

Petra Perner, July 2021

Keywords: Applications of Data Mining in ... Marketing, Medicine, E-Commerce (Mining Logfiles), Biotechnology, Quality Management, Multimedia Data (Image, Video, Text, Signals), Web-Mining, Intrusion Detection in Networks, Agriculture, Meterology
Theoretical and Application-oriented Topics in ... Case-Based Reasoning and Similarity-Based Reasoning, Clustering, Classification & Prediction, Statistical Learning, Association Rules, Telecommunication, Design of Experiment, Strategy of Experimentation, Capability Indices, Deviation and Novelty Detection, Control Charts, Conceptional Learning, Goodness Measures and Evaluation (e.g. false discovery rates), Inductive Learning Including Decision Tree and Rule Induction Learning, Organisational Learning and Evolutional Learning, Sampling Methods, Similarity Measures and Learning of Similarity, Statistical Learning and Neural Net Based Learning, Visualization and Data Mining, Deviation and Novelty Detection, Feature Grouping, Discretization, Selection and Transformation, Feature Learning, Frequent Pattern Mining, Learning and Adaptive Control, Learning/Adaption of Recognition and Perception, Learning for Handwriting Recognition, Learning in Image Pre-Processing and Segmentation, Mining Financial or Stockmarket Data, Mining Motion from Sequence, Subspace Methods, Support Vector Machines, Time Series and Sequential Pattern Mining, Desirabilities, Graph Mining, Agent Data Mining, Applications in Software Testing, Knowledge Management, Mining Social Media, Online Targeting & Controlling, Behavioral Targeting, Meteorological Data Mining, Data Mining in Logistics, Data Mining in Energy Industry, Business Intelligence and Data Mining, Big Data and Algorithm for Big Data, Legal Informatics and Data Mining, Data Mining for Logistic and Supply Chain Management