International Workshop on Machine Learning in Large-scale Networks
When : 2017-05-14
Where : Anchorage Alaska
Submission Deadline : 2017-03-01
Categories : Machine Learning , Algorithms
International Workshop on Machine Learning in Large-scale Networks (MLLN 2017)
co-located with the international joint conference on neural networks (IJCNN),May 14-19 2017, Anchorage Alaska
Call for Papers:
Modern Big Data increasingly appears in the form of complex networks and graphs. Examples include social networks, citation networks, communication networks, the World Wide Web. Researchers make use of network-based solutions for solving problems for diverse disciplines, including social mining, transportation, bioinformatics, computational science, health care and intelligence analysis. However, the massive sizes, multiple types of entities (users, documents, items etc.), user behaviours and relations between entities that nowadays characterise most networks, have increased the challenge of methodologies that analyse and mine complex networks. To address these challenges, machine learning models are often used for analysing and mining large-scale networks. Furthermore, machine learning techniques enable novel methods of describing generative models for networks structures, dynamics and communities
Topics of Interest:
We are soliciting novel and original research contributions related to machine learning-based approaches to building, analysing and mining complex networks.
- Machine learning approaches to building and mining social networks
- Clustering and ranking methods for big networks
- Large-scale link prediction algorithms
- User influence analysis
- Community detection in large-scale networks
- Machine learning applications and challenges in mining big networks
- Distributed deep learning
- Deep learning with neural networks and TensorFlow
Important Dates:
- Submission Deadline: 1st of March 2017
- Authors Notification: 15th of March 2017
- Final Manuscript Due: 10th of April 2017