Scope

2^nd International Conference on Data Mining & Machine Learning (DMML 2021)

Topics

Machine learning, Data mining Applications, Knowledge Processing.

Submission System

Authors are invited to submit papers through the Conference Submission System.

Proceedings

Hard copy of the proceedings will be distributed during the Conference.

Scope

2^nd International Conference on Data Mining & Machine Learning (DMML 2021) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Mining and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data and Machine Learning.

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 Data Mining and Machine Learning.

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
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

Machine learning

Machine Learning Applications
Learning in knowledge-intensive systems
Learning Methods and analysis
Learning Problems
Deep Learning

Proceedings

The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS&IT) series(Confirmed). Hard copy of the proceedings will be distributed during the Conference.