Call For Paper
Topics of particular interest include, but are not limited to:
- Big Data Science: Theories, models, algorithms, benchmarking, curation, and methods for understanding big data
- Big Data Computing: Infrastructures, tools, programming, architectures, benchmarking, and testing of big data systems using Map/Reduce, Hadoop and others
- Big Data Mining: Acquisition, representation, indexing, storage, management, processing, pre-processing and post-processing of big data
- Big Data Analytics: Metrics, frameworks, evaluation, tools, analysis, visualization of big data
- Big Data Understanding: learning, knowledge discovery, business and consumer intelligence, user behavior, community discovery
- Big Data Applications: Industrial and scientific applications of big data such as search, recommendations, business intelligence, marketing, social media, good practices and reproducibility.
- Big Data Privacy and Security: Data privacy enhancing technologies, privacy-preserving computing, risk analysis, modeling, and management, trustworthy computing, access control
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