ICDM 2023 : 23th Industrial Conference on Data Mining
ICDM 2023 : 23th Industrial Conference on Data Mining

ICDM 2023 : 23th Industrial Conference on Data Mining

New York, USA
Event Date: July 12, 2023 - July 16, 2023
Submission Deadline: January 15, 2023
Notification of Acceptance: March 20, 2023
Camera Ready Version Due: April 05, 2023

Call for Papers

23th Industrial Conference on Data Mining ICDM 2023
July 12 - 16, 2023, New York, USA

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,

Program Committee
Plamen Angelov Lancaster University, United Kingdom
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
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
Yun Zhao University of California, USA
and more to be announced...

Topics of the conference
Paper submissions should be related but not limited to any of the following topics:

Applications of Data Mining in ...

Civil Engineering
E-Commerce (Mining Logfiles)
Quality Management
Multimedia Data (Image, Video, Text, Signals)
Intrusion Detection in Networks
Social Sciences
Forensic Data Analysis
Drug Discovery
Smart Maintenance
Legal Court Cases
Energy Industries
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
Statistical Learning
Association Rules
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
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 Energy Industry
Design of Experiment
Strategy of Experimentation
Capability Indices
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.

Long Paper
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 Paper
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.

Industry Papers
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.


ICDM 2023 : 23th Industrial Conference on Data Mining will take place in New York, USA. It’s a 5 days event starting on Jul 12, 2023 (Wednesday) and will be winded up on Jul 16, 2023 (Sunday).

ICDM 2023 falls under the following areas: DATA MINING, BIG DATA, PATTERN RECOGNITION, CLASSIFICATION, etc. Submissions for this Conference can be made by Jan 15, 2023. Authors can expect the result of submission by Mar 20, 2023. Upon acceptance, authors should submit the final version of the manuscript on or before Apr 5, 2023 to the official website of the Conference.

Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines.

Other Details of the ICDM 2023

  • Short Name: ICDM 2023
  • Full Name: 23th Industrial Conference on Data Mining
  • Timing: 09:00 AM-06:00 PM (expected)
  • Fees: Check the official website of ICDM 2023
  • Event Type: Conference
  • Website Link:
  • Location/Address: New York, USA

Credits and Sources

[1] ICDM 2023 : 23th Industrial Conference on Data Mining

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