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17 th International Conference on Machine Learning and Data Mining MLDM 2021

July 16-21, 2021 New York, USA www.mldm.de


Call for Papers

17th International Conference on Machine Learning and Data Mining



July 16 - 21, 2021

New York, USA



Petra Perner

FutureLab Artificial Intelligence_IBaI_II

Institute of Computer Vision and applied Computer Sciences, IBaI


Program Committee

Reneta Barneva                                               The State University of New York at Fredonia, USA

Sung-Hyuk Cha                                                Pace University, USA

Ireneusz Czarnowski                                     Gdynia Maritime University, Poland

Roberto Corrizo                                                               Universtiy of Bari, Italy

Christoph F. Eick                                              Universtiy of Houston, USA

Mark J. Embrechts                                           Rensselaer Polytechnic Institute and CardioMag Imaging, Inc, USA

Ana Fred                                                            Technical University of Lisboa, Portugal

Giorgio Giacinto                                              University of Cagliari, Italy

Aminata Kane                                                  Concordia University, Canada

Piet Kommers                                                  University of Twente, The Netherlands

Olga Krasotkina                                               Russian Stae University, Russia

Dimitris Karras                                                 Chalkis Institute of Technology, Greece

Adam Krzyzak                                                  Concordia University, Canada

Valerio Pascucci                                                              University of Utah, USA

Gianvito Pio                                                      University of Bari, Italy

Lyndon Smith                                                   University of the West of England, UK

Francis E.H. Tay                                                National University of Singapore, Singapore

Turki Turki                                                         King Abdulaziz University, Saudi Arabia

Zeev Volkovich                                                ORT Braude College of Engineering, Israel

  Patrick Wang                                                    Northeastern University, USA


Aim of the Conference

The MLDM´2021 conference is the fourteenth event in a series of Machine Learning and Data Mining meetings. The aim of MLDM is to bring together from all over the world researchers dealing with machine learning and data mining, in order to discuss the recent status of the research in the field and to direct its further developments.

Basic research papers as well as application papers are welcome. All kinds of applications are welcome, but special preference will be given to multimedia related applications, biomedical applications, and webmining. Paper submissions should be related but not limited to any of the following topics:



  • Applications in Medicine
  • Applications of Clustering
  • Aspects of Data Mining
  • Association Rules
  • Audio Mining
  • Autoamtic Semantic Annotation of Media Content
  • Bayesian Models and Methods
  • Case-Based Reasoning and Associative Memory
  • case-based reasoning and learning
  • classification and interpretation of images, text, video
  • Classification and Model Estimation
  • Cognition and Computer Vision
  • conceptional learning and clustering
  • Content-Based Image Retrieval
  • Decision Trees
  • Deviation and Novelty Detection
  • Feature Grouping, Discretization, Selection and Transformation
  • Feature Learning
  • Frequent Pattern Mining
  • Goodness measures and evaluaion (e.g. false discovery rates)
  • High-Content Analysis of Microscopic Images in Medicine, Biotechnology and Chemistry
  • inductive learning including decision tree and rule induction learning
  • knowledge extraction from text, video, signals, and images
  • Learning and adaptive control
  • Learning for Handwriting Recognition
  • Learning for robots
  • Learning in Image Pre-Processing and Segmentation
  • Learning in process automation
  • Learning of action patterns
  • Learning of appropriate behaviour
  • Learning of internal representations and models
  • Learning of Ontologies
  • Learning of Semantic Inferencing Rules
  • Learning of Visual Ontologies
  • Learning/adaption of recognition and perception
  • mining gene data bases and biological data bases
  • Mining Images and Texture
  • Mining Images in Computer Vision
  • mining images, temporal-spatial data, images from remote sensing
  • Mining Motion from Sequence
  • Mining Social Media
  • mining structural representations such as log files, text documents and HTML documents
  • mining text documents
  • Network Analysis and Intrusion Detection
  • Neural Methods
  • Nonlinear Function Learning and Neural Net-Based Learning
  • organisational learning and evolutional learning
  • probabilistic information retrieval
  • Real-Time Event Learning and Detection
  • Retrieval Methods
  • Rule Induction and Grammars
  • Sampling methods
  • Selection bias
  • Selection with small samples
  • similarity
  • similarity measures and learning
  • Speech Analysis
  • Statistical and Conceptual Clustering Methods: Basics
  • Statistical and Evolutionary Learning
  • statistical learning and neural net-based learning
  • Subspace Methods
  • Support Vector Machines
  • Symbolic Learning and Neural Networks in Document Processing
  • Time Series and Sequential Pattern Mining
  • video mining
  • visualization and data mining


Important Dates

Deadline for paper submission:                  January 15, 2021

Notification of acceptance:                          March 18, 2021 Submission of camera-ready copy:                                   April 05, 2021


Paper submission

Please submit the electronic version of your camera-ready paper through the conference management system (http://www.easychair.org/). If you have any problems with the system please do not hesitate to contact info@mldm.de.

Papers must be formatted in the Springer LNCS format. They should have at most 15 pages. Papers will be reviewed by the program committee. Accepted long papers will appear in the proceedings book "Machine Learning and Data Mining in Pattern Recognition". The proceedings book will be published as OPEN-ACCESS book. The book can read everybody in the world. Extended versions of selected papers will be published in a special issue of an international journal after the conference.




Tutorial Standardization in Immunoflourescence

Prof. Dr. Petra Perner, Institute of Computer Vision and Applied Computer Sciences IBaI,



Data Mining Tutorial

Prof. Dr. Petra Perner, Institute of Computer Vision and Applied Computer Sciences IBaI,



Case-Based Reasoning Tutorial

Prof. Dr. Petra Perner, Institute of Computer Vision and Applied Computer Sciences IBaI,



Intelligent Image Interpretation and Computer Vision in Medicine, Biotechnology, Chemistry & Food Industry

Prof. Dr. Petra Perner, Institute of Computer Vision and Applied Computer Sciences IBaI




Workshops (http://www.data-mining-forum.de/workshops.php)


                * Workshop I-Business to Manufacturing and LifeScience B2ML 2021

                * Workshop on Data Mining in Marketing DMM 2021

                * International Workshop Case-Based Reasoning CBR-AI&PR 2021

                * Intern. Workshop on Multimedia Forensic Data Analysis Forensic 2021




18th Industrial Exhibition on Intelligent Data and Image Analysis IEDA 2021

We like to invite you to present your company or publishing house at the Industrial Exhibition IEDA 2021









16 Jul 2021 @ 09:00 am

21 Jul 2021 @ 04:00 pm

Duration: 5 days, 7 hours


16th International Conference on Machine Learning and Data Mining MLDM 2020

8 Albany Street

10006 New York

United States

Organised by

Institute of Computer Vision and applied Computer Sciences IBaI

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