Hybrid--Registered authors can present their work online or face to face
Scope
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.
Call for Papers
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 foundationsData 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 ApplicationsBioinformatics
Biometrics
Classification
Clustering
Databases
Educational Data Mining
Financial Modeling
Forecasting
Image Analysis
Social Networks
Knowledge ProcessingConsistent 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 learningDeep 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 Closed. 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 issue of the following journal.
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)
Proceedings
Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library
Sponsors
Speakers
Qingyue Xiong
Hunan University
China
Mashaal Abdullah Mohammed Saif
Universiti Teknologi Malaysia
Malaysia
Jaekeol Choi
University of New Hampshire
USA
Phillip G. Bradford
University of Connecticut
USA
Nidula Rawindith Elgiriyewithana
Robert Gordon University
Sri Lanka
Ayoub Nainia
Sorbonne Université
France
Ahmad Mater S Aljohani
University of Canberra
Australia
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