14th International Conference on Data Mining & Knowledge Management Process (CDKP 2025)

Scope & Topics

14^th International Conference on Data Mining & Knowledge Management Process (CDKP 2025) 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 include, but are not limited to, the following:

Data Mining Applications

Data Streams Mining
Graph Mining
Multimedia Data Mining
Parallel and Distributed Data Mining Algorithms
Pre-processing Techniques
Spatial Data Mining
Text Video
Visualization, Security and Information Hiding in Data Mining
Web Mining

Data Mining Foundations

Bioinformatics
Biometrics
Classification
Clustering
Databases
Educational Data Mining
Financial Modeling
Forecasting
Social Networks

Knowledge Processing

Consistent Data Model
Data and Knowledge Representation
Evaluating, Consolidating and Explaining Discovered Knowledge
Exploring Data Analysis, Inference of Causes
Integrating Constraints and Knowledge in the KDD Process
Integration of Data Warehousing
Interactive Data Exploration/Visualization and Discovery
Knowledge Discovery Framework and Process including pre- and post-processing
Languages and Interfaces for Data Mining, Mining Trends
Mining from Low-quality Information Sources
OLAP and Data Mining
Opportunities and Risks
Prediction
Statistical Techniques for Generation a Robust

Paper Submission

Authors are invited to submit papers through the conference Submission System by January 04, 2025 .

Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

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