18th Industrial Conference on Data Mining (ICDM 2018)

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