HADOOP PROJECTS

HADOOP IEEE PROJECTS 2018 – 2019
BIG DATA

S.NO
TITLES
1A Scalable Data Chunk Similarity based Compression Approach for Efficient Big Sensing Data Processing on Cloud
2A Systematic Approach Toward Description and Classification of Cybercrime Incidents
3Achieving Efficient and Privacy-Preserving Cross-Domain Big Data De duplication in Cloud
4a HDFS: An Erasure-Coded Data Archival System for Hadoop Clusters
5Big Data Privacy in Biomedical Research
6Cost-Aware Big Data Processing across Geo-distributed Datacenters
7Disease Prediction by Machine Learning over Big Data from Healthcare Communities
8Dy - Scale: a Map Reduce Job Scheduler for Heterogeneous Multicore Processors
9Efficient Processing of Skyline Queries Using Map Reduce
10Fi-Doop-DP: Data Partitioning in Frequent Item set Mining on Hadoop Clusters

11Hadoop Map-Reduce for Mobile Clouds
12Mining Human Activity Patterns from Smart Home Big Data for Healthcare Applications
13PPHOPCM: Privacy-preserving High-order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing
14Practical Privacy-Preserving Map Reduce Based K-means Clustering over Large-scale Dataset
15Public Interest Analysis Based on Implicit Feedback of IPTV Users
16Ring: Real-Time Emerging Anomaly Monitoring System over Text Streams

17Robust Big Data Analytics for Electricity Price Forecasting in the Smart Grid
18Scalable Uncertainty-Aware Truth Discovery in Big Data Social Sensing Applications for Cyber-Physical Systems
19Self-Adjusting Slot Configurations for Homogeneous and Heterogeneous Hadoop Clusters
20Service Rating Prediction by Exploring Social Mobile Users’ Geographical Locations