“…Topics
and features: Discusses a model for data traffic aggregation in 5
G cellular networks,
and a novel scheme for resource allocation in 5
G networks with network slicing Explores methods that use big data in the assessment of flood risks,
and apply neural networks techniques to monitor the safety of nuclear power plants Describes a system which leverages big data analytics
and the Internet of Things in the application of drones to aid victims in disaster scenarios Proposes a novel deep learning-based health data analytics application for sleep apnea detection,
and a novel pathway for diagnostic models of headache disorders Reviews techniques for educational data mining
and learning analytics,
and introduces a scalable MapReduce graph partitioning approach for high degree vertices Presents a multivariate
and dynamic data representation model for the visualization of healthcare data,
and big data analytics methods for software reliability assessment This practically-focused volume is an invaluable resource for all researchers, academics, data scientists
and business professionals involved in the planning, designing,
and implementation of big data analytics
projects. …”
Jyväskylän yliopisto - Jykdok
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