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DATA MINING AND ANALYSIS FOR BIG DATA
massive data streams, and social networks with solutions for outlier detection, recommendations, collaborative filtering, incremental clustering, patterns detection, scientometrics, and sentiment analysis
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INFORMATION RETRIEVAL AND CORE DATA MANAGEMENT
technologies such as cloud, graph, spatial and spatiotemporal databases, query processing, community detection, distributed data engineering, and optimisation of data analytics flows
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DESIGN AND DEVELOPMENT
of collective social awareness and smart city platforms for creative ICT driven distributed applications, frameworks and services at which social, cultural and historical content is e-reflected and shared
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MASSIVELY PARALLEL SYSTEMS
including MapReduce, Spark, Flink and CUDA to support end-to-end big data science applications and runtime evolving analytics
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STRONG THEORETICAL BACKGROUND
in fields underpinning modern data and web analytics: data structures, graph theory and applications, algorithmic complexity and computational geometry
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DECENTRALISED APPLICATIONS
design and development for smart contract solutions based on blockchain technologies (such as Ethereum and Hyperledger Fabric)