Master Thesis Big Data Analytics Projects

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Novelty Research Topics for Master Thesis Big Data Analytics Projects:

• Extending Commodity OpenFlow Switches for Large-Scale HPC Deployments
• Early Experiences with Saving Energy in Direct Interconnection Networks
• An Effective Queuing Scheme to Provide Slim Fly Topologies with HoL Blocking Reduction and Deadlock Freedom for Minimal-Path Routing
• Anomaly detection for big log data using a Hadoop ecosystem [Master Thesis Big Data Analytics Projects]
• Predicting indoor spatial movement using data mining and movement patterns
• Predicting high-risk prognosis from diagnostic histories of adult disease patients via deep recurrent neural networks
• Incremental mining of high utility co-locations from spatial database
• Diagnosing cervical cell images using pre-trained convolutional neural network as feature extractor
• Integration of heterogeneous time series gene expression data by clustering on time dimension
• A noise parameter configuration technique to mitigate detour inference attack on differential privacy
• Extracting top-K interesting subgraphs with weighted query semantics
• A four-frames differencing technique for moving objects detection in wide area surveillance
• Clinical opinions generation from general blood test results using deep neural network with principle component analysis and regularization
• On the mining and usage of Movement Patterns in large traffic networks [Master Thesis Big Data Analytics Projects]
• A performance study on large-scale data analytics using disk-based and in-memory database systems