SDA 2014 - Workshop on Scalable Data Analytics: Theory and Applications

Topics of Interest
Distributed data analytics architectures
Data cleansing, separation and integration techniques
Data analytics algorithms for GPUs
Data analytics algorithms for clouds
Data analytics algorithms for clusters
Theory and algorithms of data reduction techniques for big data
Online/incremental/stochastic learning algorithms
Random projection
Hashing techniques
Data sampling algorithms
Theory and algorithms of large-scale matrix approximation
Bound analysis of matrix approximation algorithms
Parallel matrix factorization
Parallel multiway array factorization
Online dictionary learning
Distributed topic modeling algorithms
Heterogeneous learning on big multimodal data
Multiview learning
Multitask learning
Transfer learning
Semi-supervised learning
Active learning
Temporal analysis and spatial analysis in big data
Real time analysis for data stream
Trend prediction in financial data
Topic detection in instant message systems
Real time modeling of events in dynamic networks
Spatial modeling on maps
Scalable data analytics algorithms in large graphs
Communities discovery and analysis in social networks
Link prediction in networks
Anomaly detection in social networks
Authority identification and influence measurement in social networks
Fusion of information from multiple blogs, rating systems, and social networks
Integration of text, videos, images, sounds in social media
Recommender systems
Novel applications of scalable data analytics in
Healthcare
Cybersecurity
Mobile computing
Smart cities
Astronomy
Biological data analysis