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ICDMML 2020 : 【EI SCOPUS】2020 International Conference on Data Mining and Machine Learning


When Mar 18, 2019 - Mar 20, 2019
Where Bangalore, India
Submission Deadline Feb 20, 2020
Notification Due Feb 20, 2020
Final Version Due Feb 20, 2020
Categories    computer science   artificial intelligence   data mining   machine learning

Call For Papers

2020 2nd International Conference on Data Mining and Machine Learning (ICDMML 2020) will be held on March 18 - 20 2020 in Bangalore, India. Conference proceedings will be submitted to Ei Compendex, Scopus, CPCI (Web of Science) for indexing.

Important Dates
Conference Date: March 18-20 2020

Press will submit the proceedings to Ei Compendex, Scopus for indexing.

CFP link:

1 Artificial Intelligence
including the following topics but not limited to
Artificial Intelligence
Biometric Identification
Biocomputing and Bioinformatics
Computational Intelligence
Cognitive Processing
Computer Vision
Deep learining
Document Recognition and Understanding
Humanoid Robot
Intelligent Information Processing
Intelligent Modeling and Control Theory
Intelligent Vehicle
Intelligent Video Surveillance
Machine Learning
Mass Information Processing
Multimedia Information Processing
Nature Language Processing
Nonlinear System
Pattern Recognition
Quantum Computation and Quantum Information
Space Robot
Speech and Character Recognition
Signal Processing
Unmanned Aircraft
Word Recognition

2 Data Mining
including the following topics but not limited to
Abnormality and data detection
Algorithms for new, structured, data types, such as arising in chemistry, biology, environment, and other scientific domains
Big data analytic and High performance implementations of data mining algorithms
Developing a unifying theory of data mining
Distributed data mining and mining multi-agent data
Mining high speed data streams
Mining in networked settings: web, social and computer networks, and online communities
Mining sequences and sequential data
Mining sensor data
Mining spatial and temporal datasets
Mining textual and unstructured datasets
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)

3 Machine Learning
including the following topics but not limited to
Active learning
Computational learning theory
Distance measurement learning
Deep learning
Incremental learning and online learning
Integrated learning
Limit learning
Machine learning new theory
Manifold learning
Multi - task learning
Multi - sign learning
Reinforcement learning
Manifold learning
Semi-supervised learning

Submission link:

Contact Us:

Tel: +86-18571546145
QQ: 676657115

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