ICDM 2019 : IEEE International Conference on Data Mining

  in Conferences   Posted on October 1, 2018

Conference Information

Submission Deadline Tuesday 15 Jan 2019
Conference & Submission Link http://www.data-mining-forum.de/
Conference Dates Jul 17, 2019 - Jul 21, 2019
Conference Address New York, United States
Proceedings indexed by
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Google Scholar H5-index: 38
CORE 2017 Rating: A*
Guide2Research Overall Ranking: 79
Category Rankings
Machine Learning & Arti. Intelligence 21

Conference Call for Papers

This conference is the thirteen conference in a series of industrial conferences on Data Mining that will be held on yearly basis. Experts from different fields will present their applications and the results obtained by applying data mining. Besides that, newcomers in the field can get a fast introduction to Data Mining by taking the tutorial running in connection with the conference. In a problem/solution hour you will have the opportunity to present your application and ask for support by others or for cooperation in solving the problem.

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Topics of the conference

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

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

Authors can submit their paper in long or short version.

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