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5th International Conference on Data Mining & Machine Learning (DMML 2024)
5th International Conference on Data Mining & Machine Learning (DMML 2024)
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5th International Conference on Data Mining & Machine Learning (DMML 2024)

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DMML

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23 Mar 2024 - 24 Mar 2024
Free Registration

Event Details

5th International Conference on Data Mining & Machine Learning (DMML 2024)

5th International Conference on Data Mining & Machine Learning (DMML 2024)
March 23 ~ 24, 2024, Sydney, Australia
https://necom2024.org/dmml/index

Scope & Topics

5th International Conference on Data Mining & Machine Learning (DMML 2024) 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 Data Mining and Machine Learning.

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

Data Mining foundations
Data Streams Mining
Graph Mining
Multimedia Data Mining
Parallel and Distributed Data Mining Algorithms
Pre-Processing Techniques
Security and Information Hiding in Data Mining
Spatial Data Mining
Text video
Visualization
Web Mining
Data Mining Applications
Bioinformatics
Biometrics
Classification
Clustering
Databases
Educational Data Mining
Financial Modeling
Forecasting
Image Analysis
Social Networks
Knowledge Processing
Consistent Data Model
Consolidating and Explaining Discovered Knowledge
Data and Knowledge Representation
Evaluating
Exploring Data Analysis
Including Pre- and Post-Processing
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
Languages and Interfaces for Data Mining
Mining from Low-Quality Information Sources
Mining Trends, Opportunities and Risks
OLAP and Data Mining
Prediction
Statistical Techniques for Generation a Robust
Machine learning
Deep Learning
Learning in knowledge-intensive systems
Learning Methods and analysis
Learning Problems
Machine Learning Applications

Paper Submission

Authors are invited to submit papers through the conference Submission System by March 16, 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).

Selected papers from DMML 2024, after further revisions, will be published in the special issues of the following journals

International Journal of Data Mining & Knowledge Management Process (IJDKP) – WJCI Indexed
The International Journal of Database Management Systems (IJDMS) – WJCI Indexed
Machine Learning and Applications: An International Journal (MLAIJ)
International Journal of Web & Semantic Technology (IJWesT) - IS Indexed
Advances in Vision Computing: An International Journal (AVC)

Important Dates

Third Batch : (Submissions after February 17, 2024)

 Submission Deadline : March 16, 2024
 Authors Notification : March 21, 2024
 Registration & camera - Ready Paper Due : March 22, 2024

Contact Us
Here's where you can reach us : [email protected] (or) [email protected]

For other details: https://necom2024.org/dmml/index

Paper Submission Link: https://necom2024.org/submission/index.php

Entry Fees

Free Registration

Categories

Event Frequency

Bi-annual

Event Timings

(GMT-11:00) Pago Pago
10:00 AM - 06:00 PM (Mar 23, Mar 24) (General)

Organizer

DMML

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5th International Conference on Data Mining & Machine Learning (DMML 2024) 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 wil...

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Event Location

Sydney
Sydney , New South Wales, Australia
Official Link :

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