Scope
9th International Conference on Data Mining & Knowledge Management Process (CDKP 2020) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.

Topics of Interest
Data Mining Applications
Parallel and Distributed Data Mining Algorithms
Data Streams Mining
Graph Mining
Spatial Data Mining
Text Video
Multimedia Data Mining
Web Mining
Pre-processing Techniques
Visualization
Security and Information Hiding in Data Mining
Data Mining Foundations
Databases
Bioinformatics
Biometrics
Image Analysis
Financial Modeling
Forecasting
Classification
Clustering
Social Networks
Educational Data Mining
Knowledge Processing
Data and Knowledge Representation
Knowledge Discovery Framework and Process
including pre- and post-processing
Integration of Data Warehousing
OLAP and Data Mining
Integrating Constraints and Knowledge in the KDD Process
Exploring Data Analysis
Inference of Causes
Prediction
Evaluating
Consolidating,and Explaining Discovered Knowledge
Statistical Techniques for Generation a Robust
Consistent Data Model
Interactive Data Exploration/Visualization and Discovery
Languages and Interfaces for Data Mining
Mining Trends
Opportunities and Risks
Mining from Low-quality Information Sources