Advances in Data Mining, Applications and Theoretical Aspects, Petra Perner (Ed.), 19th Industrial Conference, ICDM 2020, Amsterdam, The Netherlands, July 20 to July 21 2020, ibai publishing, P-ISSN 1864-9734 E-ISSN 2699-5220 ISBN 978-3-942952-77-4, Poster Proceedings Book.

Poster and Industry Proceedings Book


Advances in Data Mining, Applications and Theoretical Aspects


Petra Perner (Ed.)

20th Industrial Conference on Data Mining
ICDM 2020
Amsterdam, The Netherlands, July 20 to July 21 2020
P-ISSN 1864-9734 E-ISSN 2699-5220 ISBN 978-3-942952-77-4
Poster Proceedings Book



ibai publishing house

Open Access Poster Proceedings Book ICDM 2020


Abstract

The pandemic "Corona" has put us this year before a difficult time...

The best of the best of us are represented with their papers in this volume. They presented themselves personal or in online presentations in the conference. The ac-ceptance rate for the submitted paper of our conference was 33% percent for long paper as well as short papers. Because of many refusals because of missing financial means or other reasons the acceptance rate decreased to few percent. This shows once more the excellent quality of these scientists. Their papers are of most excellent quality and expand the state-of-the-art in an excellent way.

The topics of the long papers range from event log file analysis, predictive maintenance, medical application, telecom application, fraud detection to a paper on how we should present the results to stakeholders so that they accept the findings of the data mining methods. The new arising topic we see here is predictive maintenance. All other topics follow the main topics of ICDM but present new excellent results and go over the recent questions to be solved with data mining for the specific applications. The short paper is a fine theoretical paper on optimal kernel density estimation.

The proceedings will be freely accessible as an OPEN-ACCESS Proceedings of a wide public so that, the new acquired knowledge on the different subjects is able to spread around quickly worldwide. You can find the proceedings for long papers and the poster proceedings for short papers at http://www.ibai-publishing.org/html/proceeding2020.php.

In this time, flexibility was a must Because the situation in the USA was still diffi-cult, we have moved the conference to Amsterdam in the Netherlands. Here a variety of the participants was able to do outward journeys. The ones who could not travel, were online present.

Extended versions of selected papers will appear in the international journal Trans-actions on Machine Learning and Data Mining (www.ibai-publishing.org/journal/mldm). We hope to see you in 2021 in New York at the 21th Industrial Conference on Da-ta Mining ICDM (www.data-mining-forum.de) again.

The conference runs under the umbrella of the World Congress on “The Frontiers in Intelligent Data and Signal Analysis, DSA 2021” (www.worldcongressdsa.com), which combines under its roof the following three events: International Conferences Machine Learning and Data Mining MLDM (www.mldm.de) , the Industrial Confer-ence on Data Mining ICDM (www.data-mining-forum.de), and the International Con-ference on Mass Data Analysis of Signals and Images in Artificial Intelligence and Pattern Recognition with Applications in Medicine, Biotechnology, Chemistry and Food Industry, MDA-AI&PR (www.mda-signals.de). We will give then the tutorials on Data Mining, Case-Based Reasoning, and Intelli-gent Image Analysis again (http://www.data-mining-forum.de/tutorials.php) again. The workshops running in connection with ICDM will also be given (http://www.data-mining-forum.de/workshops.php).

We would warmly invite you with pleasure to contribute to this conference. Please come and join us. We are awaiting you.

Petra Perner, July 2020

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