2016 - 2017 HADOOP IEEE BIG DATA FINAL YEAR Projects

A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn

A Parallel Patient Treatment Time Prediction Algorithm and Its Applications in Hospital Queuing-Recommendation in a Big Data Environment

Adaptive Replication Management in HDFS based on Supervised Learning

CaCo: An Efficient Cauchy Coding Approach for Cloud Storage Systems

Clustering of Electricity Consumption Behavior Dynamics toward Big Data Applications

Distributed In-Memory Processing of All k Nearest Neighbor Queries

Dynamic Job Ordering and Slot Configurations for MapReduce Workloads

Dynamic Resource Allocation for MapReduce with Partitioning Skew

FiDoop-DP: Data Partitioning in Frequent Itemset Mining on Hadoop Clusters

H2Hadoop: Improving Hadoop Performance using the Metadata of Related Jobs

Hadoop Performance Modeling for Job Estimation and Resource Provisioning

K Nearest Neighbour Joins for Big Data on MapReduce: a Theoretical and Experimental Analysis

Novel Scheduling Algorithms for Efficient Deployment of MapReduce Applications in Heterogeneous Computing Environments

On Traffic-Aware Partition and Aggregation in MapReduce for Big Data Applications

Optimization for Speculative Execution in Big Data Processing Clusters

Processing Cassandra Datasets with Hadoop-Streaming Based Approaches

Protection of Big Data Privacy

RFHOC: A Random-Forest Approach to Auto-Tuning Hadoop’s Configuration

Service Rating Prediction by Exploring Social Mobile Users’ Geographical Locations

Wide Area Analytics for Geographically Distributed Datacenters