Scope

10^th International Conference on Data Mining (DaMi 2024) Conference 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 areas of Data Mining and Knowledge Management Process.

Topics of interest include, but are not limited to, the following

Data Mining Foundations

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 Applications

Databases

Bioinformatics

Biometrics

Imge 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

Explaining Discovered Knowledge

Statistical Techniques for Generating 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

Paper Submission

Authors are invited to submit papers through the conference Submission System by April 27, 2024. 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).