BigData 2015 - Special session on Big data analytics

Massive data sets of unprecedented complexity have been generated by large scale modern computing sources from different fields, e.g. high frequency trading in finance, next generation sequencing in bioinformatics, and extremely active web-based social media, in recent years. The opportunities and the challenges provided by big data call for new methodologies in processing, analysis, and other applications. Innovative ideas in this field are both valued greatly in research, and have heavy impact on real world problems. The goal of this special session is to solicit novel big data analytics approaches, and efforts to apply new methods in various big data applications. We invite the submission of high-quality, original and unpublished papers in this area. Topics for this session include, but are not limited to:
Real-time stream process
Application of Hadoop/MapReduce techniques
Big data analytics in finance
Big omics data analytics
Big data problems in cloud computing
Privacy issues of big data
Clustering and classification methods for big data
Big data application in cybersecurity
Social networks and big data
Manuscripts should follow LNCS format with at most 12 pages. All accepted papers will be published by Springer-Verlag in the Lecture Notes in Computer Science (LNCS) series or a recommended SCI-indexed journal.