HADOOP PROJECTS

HADOOP-2017 IEEE PROJECTSBIG DATA

S.NO	TITLES
1	A Scalable Data Chunk Similarity based Compression Approach for Efficient Big Sensing Data Processing on Cloud
2	A Systematic Approach Toward Description and Classification of Cybercrime Incidents
3	Achieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud
4	aHDFS: An Erasure-Coded Data Archival System for Hadoop Clusters
5	Big Data Privacy in Biomedical Research
6	Cost-Aware Big Data Processing across Geo-distributed Datacenters
7	Disease Prediction by Machine Learning over Big Data from Healthcare Communities
8	DyScale: a MapReduce Job Scheduler for Heterogeneous Multicore Processors
9	Efficient Processing of Skyline Queries Using Map Reduce
10	FiDoop-DP: Data Partitioning in Frequent Item set Mining on Hadoop Clusters
11	Hadoop MapReduce for Mobile Clouds
12	Mining Human Activity Patterns from Smart Home Big Data for Healthcare Applications
13	PPHOPCM: Privacy-preserving High-order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing
14	Practical Privacy-Preserving MapReduce Based K-means Clustering over Large-scale Dataset
15	Public Interest Analysis Based on Implicit Feedback of IPTV Users
16	Ring: Real-Time Emerging Anomaly Monitoring System over Text Streams
17	Robust Big Data Analytics for Electricity Price Forecasting in the Smart Grid
18	Scalable Uncertainty-Aware Truth Discovery in Big Data Social Sensing Applications for Cyber-Physical Systemsc
19	Self-Adjusting Slot Configurations for Homogeneous and Heterogeneous Hadoop Clusters
20	Service Rating Prediction by Exploring Social Mobile Users Geographical Locations