24th Industrial Conference on Data Mining ICDM 2024
July 10 - 14, 2024, Dresden, Germany
Deadline is January 15th, 2024.
Notification DueMar 20, 2024
Final Version DueApr 20, 2024
Aim of the Conference
The aim of the conference is to bring together researchers from all over the world who deal with machine learning and data mining in order to discuss the recent status of the research and to direct further developments. Basic research papers as well as application papers are welcome.
Petra Perner Institute of Computer Vision and Applied Computer Sciences IBaI,
Plamen Angelov Lancaster University, United Kingdom
Yingying Chen Rutgers University, USA
Antonio Dourado University of Coimbra, Portugal
Stefano Ferilli University of Bari, Italy
Warwick Graco Analytics Shed, Australia
Aleksandra Gruca Silesian University of Technology, Poland
Pedro Isaias The University of New South Wales, Australia
Piotr Jedrzejowicz Gdynia Maritime University, Poland
Martti Juhola University of Tampere, Finland
Janusz Kacprzyk Polish Academy of Sciences, Poland
Ling Liu Georgia Institute of Technology, USA
Eduardo F. Morales National Institute of Astrophysics, Optics, and Electronics,
Wieslaw Paja University of Rzeszow, Poland
Victor Sheng University of Central Arkansas, USA
Iren Todorova Valova University of Massachusetts Dartmouth, USA
Topics of the conference
Paper submissions should be related but not limited to any of the following topics:
Applications of Data Mining in ...
E-Commerce (Mining Logfiles)
Multimedia Data (Image, Video, Text, Signals)
Intrusion Detection in Networks
Forensic Data Analysis
Legal Court Cases
Logistics and Supply Chain Management
Finance and Stock Markets
Meterology, Blockchain and more ...
Theoretical and Application-oriented Topics in ...
Big Data and Algorithm for Big Data
Case-Based Reasoning and Similarity-Based Reasoning
Classification & Prediction
Deviation and Novelty Detection
Goodness Measures and Evaluation (e.g. false discovery rates)
Inductive Learning Including Decision Tree and Rule Induction Learning
Organisational Learning and Evolutional Learning
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
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
Support Vector Machines
Time Series and Sequential Pattern Mining
Agent Data Mining
Applications in Software Testing
Mining Social Media
Online Targeting & Controlling
Meteorological Data Mining
Data Mining in Energy Industry
Design of Experiment
Strategy of Experimentation
Business Intelligence and Data Mining
Legal Informatics and Data Mining
Data Mining for Logistic and Supply Chain Management
Authors can submit their paper in long paper or short paper version.
The paper must be formatted in the Springer LNCS format. They should have at most 15 pages. The papers will be reviewed by the program committee. Papers will published in the conference proceedings.
Please submit your Long Paper to the CMS-System.
A special issue will be set up for the Intern. Journal Transactions on Machine Learning and Data Mining.
Short papers are also welcome and can be used to describe work in progress or project ideas. They can have 5 to max. 15 pages, formatted in Springer LNCS format. Accepted short papers will be presented as poster in the poster session. They will be published in a special poster proceedings book.
Please submit your Short Paper to the CMS-System.
We encourage industrial people to show their applications and projects for data mining. This work can be presented as poster during the poster session in the special industry track. Please submit a one page abstract including title, name and affilation.
Please submit your Industry Paper to the CMS-System.