Big Data “Hadoop” Based IEEE Projects.

  1. Big data, big knowledge: big data for personalised healthcare

  2. Deduplication on Encrypted Big Data in Cloud

  3. Processing Geo-Dispersed Big Data in an Advanced MapReduce Framework

  4. Recent Advances in Autonomic Provisioning of Big Data Applications on Clouds

  5. Privacy Preserving Data Analysis in Mental Health Research

  6. BFC: High-Performance Distributed Big-File Cloud Storage Based On Key-Value Store

  7. Performance Analysis of Scheduling Algorithms for Dynamic Workflow Applications

  8. PaWI: ParallelWeighted Itemset Mining by means of MapReduce

  9. Building a Big Data Analytics Service Framework for Mobile Advertising and Marketing

  10. Secure Sensitive Data Sharing on a Big Data Platform

  11. Load Balancing for Privacy-Preserving Access to Big Data in Cloud

  12. Enabling Efficient Access Control with Dynamic Policy Updating for Big Data in the Cloud

  13. Cost Minimization for Big Data Processing in Geo-Distributed Data Centers

  14. Dache: A Data Aware Caching for Big-Data Applications Using the MapReduce Framework

  15. ClubCF: A Clustering-based Collaborative Filtering Approach for Big Data Application

  16. MRPrePost-A parallel algorithm adapted for mining big data

  17. Toward Efficient and Privacy-Preserving Computing in Big Data Era

  18. Privacy Preserving Data Analytics for Smart Homes

  19. Authorized Public Auditing of Dynamic Big Data Storage on Cloud with Efficient Verifiable Fine-grained Updates

  20. KASR: A Keyword-Aware Service Recommendation Method on MapReduce for Big Data