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

DMML 2021

URL: https://necom2021.org/dmml/index
Event Date: 2021-02-20 ~ 2021-02-21
Abstract Submission Date: 2020-12-06
Submission Date: 2020-12-06
Organizer: DMML 2021

Data Mining & Analysis

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

February 20~21, 2021, Dubai, UAE

https://necom2021.org/dmml/index

Scope & Topics

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.

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

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

Paper Submission

Authors are invited to submit papers through the Submission System by December 17, 2020. 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 ComputerScience & Information Technology (CS&IT) series(Confirmed).