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data mining PhD Projects, Programs & Scholarships

We have 55 data mining PhD Projects, Programs & Scholarships

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  DTC CS 6 - Data Mining and Predictive Data Analytics
  Dr X Xie
Applications accepted all year round
The Swansea Vision group (csvision.swan.ac.uk) has been working very closely with collaborator in health and social sciences. This project aims to develop robust and efficient analytical predictive tools using advanced data mining and machine learning.
  Data mining techniques for road safety policy making
  Dr H Evdorides
Applications accepted all year round
Road safety is associated with target setting at policy making lever. Such targets are usually associated with statistical analysis of accident data.
  Machine learning techniques for the optimisation and simulation of Metal Additive Layer Manufacturing process chains
  Dr S Bigot, Dr P Kerfriden, Dr Z Ji, Dr M Packianather
Applications accepted all year round
The aim of this PhD is to develop new data analytic tools (e.g. machine learning, data mining) to support the understanding, the optimisation and the Multi-scale and multi-physics simulation of metal Additive Layer Machining (ALM) process chains.
  Data mining for microbial adaptation to climate change - MScR in Global Environmental Challenges
  Dr G Barker
Application Deadline: 1 August 2019
About the Project. Microbes are key members of nutrient and energy cycles in all global ecosystems. Whole meta genome DNA sequencing is increasingly used to characterise microbial ecosystems and vast amounts of data are deposited in the public domain every year.
  Development of a Hybrid Prognostic Methodology for Predictive Maintenance 4.0
  Dr O Niculita, Prof D McGlinchey, Dr B Alkali
Application Deadline: 28 March 2019
Knowing when systems need to be maintained is of great importance to companies operating high-value assets. Further, to know ahead of time, with plenty of time to optimize the maintenance and cause the least amount of disruption to the operation, would be highly desirable.
  Scalable Data Science and Big Data Systems
  Dr S Ray
Applications accepted all year round
Project objectives. Data systems are going through a major transition due to the challenges of Big Data processing. The volume and velocity of data generated from a variety of sources are far outpacing the available storage and processing capacity.
  Using machine learning to predict post-storage fruit quality with surface microbiomes, climatic and imaging data (Ref: CTPFCR20191)
  Prof X Xu, Dr B Li, Prof X Hong
Application Deadline: 30 April 2019
This student is to be registered with University of Reading with a team of three supervisors. Prof Xiangming Xu (NIAB EMR), Dr Bo Li (NIAB EMR), and Prof Xia Hong (University of Reading).
  Using machine learning to predict post-storage fruit quality with surface microbiomes, climatic and imaging data (Ref: CTPFCR20191)
  Prof X Xu, Dr B Li, Prof X Hong
Application Deadline: 30 April 2019
This student is to be registered with University of Reading with a team of three supervisors. Prof Xiangming Xu (NIAB EMR), Dr Bo Li (NIAB EMR), and Prof Xia Hong (University of Reading).
  Using machine learning to predict post-storage fruit quality with surface microbiomes, climatic and imaging data (Ref: CTPFCR20191)
  Prof X Xu, Dr B Li, Prof X Hong
Application Deadline: 30 April 2019
This student is to be registered with University of Reading with a team of three supervisors. Prof Xiangming Xu (NIAB EMR), Dr Bo Li (NIAB EMR), and Prof Xia Hong (University of Reading).
  Development of a Visual Analtyics Methodology for Streaming Data
  Dr F Stahl
Applications accepted all year round
The velocity aspect of Big Data Analytics stems from recent advances in hardware and software technology to sense, capture process and communicate data.
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