BigData 2014 - Machine Learning for Big Data
Topics/Call fo Papers
"Machine Learning for Big
Data", to appear in special issue of Sadhana, a bi-monthly journal of
Indian Academy of Sciences. The journal publishes high quality original
papers in all branches of Engineering Sciences. Please visit
http://www.cse.iitb.ac.in/saketh/sadhana/call.html
for more information.
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High quality submissions are invited in all areas of Machine Learning and
BigData Analysis. Topics of interest include, but are not limited to:
Classification and regression methods, Semi-supervised learning,
Unsupervised learning and clustering, Graph and link mining, Convex
optimization, Distributed optimization, Bayesian Non-parametric models,
Matrix and tensor methods, Social network analysis, Recommender systems,
Feature selection, Online advertising, Anomaly detection, Fault
diagnostics, Engineering applications of big data analysis, Knowledge
discovery from big data.
Papers in related areas as well as application oriented or good survey
papers in this area which make innovative/significant technical
contributions to research are also welcome.
Key Dates:
Last date for submission of completed manuscripts: 15th Jun, 2014
First round of reviews: 1st Sep, 2014.
Second round of submission: 1st Oct, 2014.
Final Decision: 1st Nov, 2014.
Camera ready copy: 15th Nov, 2014.
The special issue is tentatively scheduled for Feb, 2015.
All submission must be done electronically
http://www.editorialmanager.com/sadh/
Data", to appear in special issue of Sadhana, a bi-monthly journal of
Indian Academy of Sciences. The journal publishes high quality original
papers in all branches of Engineering Sciences. Please visit
http://www.cse.iitb.ac.in/saketh/sadhana/call.html
for more information.
-------------------------------------------------------------------
High quality submissions are invited in all areas of Machine Learning and
BigData Analysis. Topics of interest include, but are not limited to:
Classification and regression methods, Semi-supervised learning,
Unsupervised learning and clustering, Graph and link mining, Convex
optimization, Distributed optimization, Bayesian Non-parametric models,
Matrix and tensor methods, Social network analysis, Recommender systems,
Feature selection, Online advertising, Anomaly detection, Fault
diagnostics, Engineering applications of big data analysis, Knowledge
discovery from big data.
Papers in related areas as well as application oriented or good survey
papers in this area which make innovative/significant technical
contributions to research are also welcome.
Key Dates:
Last date for submission of completed manuscripts: 15th Jun, 2014
First round of reviews: 1st Sep, 2014.
Second round of submission: 1st Oct, 2014.
Final Decision: 1st Nov, 2014.
Camera ready copy: 15th Nov, 2014.
The special issue is tentatively scheduled for Feb, 2015.
All submission must be done electronically
http://www.editorialmanager.com/sadh/
Other CFPs
- 8th International Workshop on Machine Learning in Systems Biology
- Workshop on Learning with Multiple Views: Applications to Computer Vision and Multimedia Mining
- Update: Medical Device Laws and Regulations in China, Hong Kong, Japan and Korea
- Preparing for FDA GLP Inspection and Management: Best Practices
- Preparing for FDA BIMO Inspection and Management
Last modified: 2014-04-18 22:47:25