Ph.D Research Proposal for Big Data

Big data refer to technologies and initiatives that tackle diverse, massive data to address the traditional technologies, skills, and infrastructure efficiently. The volume, velocity, and variety of data are greatly high. Big Data is not a single technology or initiative, but it depends on several domains of business and technology. Recently developed technologies make it possible to recognize value from Big Data. For instance, governments and even Google can track the emergence of disease outbreaks through social media signals. The coal mines can make use of the output of sensors in their mining equipment to make more efficient and safer mining decisions. Big Data refer to large and complex data sets that are impractical to manage with traditional software tools. The size of Big Data might be represented in petabytes (1024 terabytes) or Exabytes (1024 petabytes) that consist of trillion records of millions of people collected from various sources such as web, social media, mobile data, and customer contact center. The nature of data is loosely structured, i.e. incomplete and inaccessible.

Research Topics in Big Data

  • Software and Tools for Massive Big Data Processing
  • Security, Privacy Issues in Big Data
  • Scalable Architectures for Massively Parallel Data Processing
  • Data Mining Tools and Techniques for Big Data
  • Scalable Storage Systems for Big Data
  • Cloud Computing Platforms for Big Data Adoptation and Analytics
  • Large Scale Data Analysis for Social Networks
  • Big Data Models and Algorithms
  • Parallel Programming Techniques for Big Data Processing
  • Big Data Analytics
  • Big Data Management
  • Uncertain Data Management in Big Data
  • Stream Data Processing in Big Data
  • Privacy Preserving Big Data Analytics
  • Anomaly Detection in Very Large Scale Systems
  • Machine Learning Methods for Big Data
  • Hadoop Programming and Map Reduce Architecture
  • Big Data Analytics for Business Intelligence
  • Big Data Analytics for Smart Healthcare
  • Big Data Visualization
  • Big Data Semantics