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ICDMML 2019 : 【ACM ICPS EI SCOPUS】2019 International Conference on Data Mining and Machine Learning


When Apr 29, 2019 - Apr 30, 2019
Where Hong Kong
Submission Deadline Mar 29, 2019
Final Version Due Mar 29, 2019
Categories    computer science   artificial intelligence   data mining   machine learning

Call For Papers

2019 International Conference on Data Mining and Machine Learning (ICDMML 2019) will be held on April 29 - 30 2019 in Hong Kong. The symposium will focus on the frontier topics in the theoretical and applied Data Mining, Machine Learning and AI subjects.

Basic Information
Paper Review
All submissions to the ICDMML will be sent to at least 2 reviewers and evaluated based on originality, technical and research content, relevance to conference, contributions, and readability. The full paper submissions will be chosen based on technical merit, interest, applicability, and how well they fit a coherent and balanced technical program.

Important Dates
Registration Deadline:
From now till 29th November 2018 (Early Bird)
30th November 2018 to 28th February 2019 (Standard)
28th February 2019 to March 29th 2019 (Late Registration)
Conference Date: April 29-30 2019

The accepted papers will be published by ACM ICPS. Some selected papers will be published in Journals.

Volkson 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:

HK Tel: +852-5607-9095

Related Resources

ICML 2019   36th International Conference on Machine Learning
ICDM 2019   19th Industrial Conference on Data Mining ICDM 2019
MLDM 2019   15th International Conference on Machine Learning and Data Mining MLDM 2019
IJCAI 2019   International Joint Conference on Artificial Intelligence
ICCBDC--Ei and Scopus 2019   2019 3rd International Conference on Cloud and Big Data Computing (ICCBDC 2019)--Ei Compendex and Scopus
RecSys 2019   13th ACM Conference on Recommender Systems
iDSC 2019   2nd International Data Science Conference
EDM 2019   The 12th International Conference on Educational Data Mining
ICCV 2019   International Conference on Computer Vision
DATA 2019   8th International Conference on Data Science, Technology and Applications