The International Conference on Machine Learning & Computational Intelligence(ICMLCI-2017) aims to provides an opportunity for the researchers, engineers, developers and practitioners from academia and industry to discuss and address the experimental, theoretical work and methods in solving problems and to share their experience, exchange and cross-fertilize their ideas in the fields of Machine Learning and Computational Intelligence. This conference will be useful for research scholar and professionals working in data science, big data, machine learning, artificial intelligence and predictive modeling.
In the recent years, machine learning has emerged as powerful techniques for solving problem involve huge loads of data. Machine learning provides algorithms and tools that are useful for solving classification and regression tasks in the supervised learning problems, clustering and frequent pattern mining tasks in unsupervised learning problems, tasks of controlling the behavior of machines in reinforcement learning problems.
We invite original (un-published) research contributions based on the above mentioned theme including following topics but not limited to:
Data Mining, Data Science and Big Data
Classification Systems
Association Rules
Clustering
Social Media, Social Networking, Social Data
Features Selection for Nature Algorithms and Machine Learning
Rough Set Applied to Nature Algorithms and Machine Learning
Fuzzy Set Applied to Nature Algorithms and Machine Learning
Genetic Algorithms Applied to Nature Algorithms and Machine Learning
Neural Network Applied to Nature Algorithms and Machine Learning
Applications of Nature Algorithms and Machine Learning
Soft Set Applied to Nature Algorithms and Machine Learning
09月28日
2017
09月29日
2017
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