1A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn
2A Parallel Patient Treatment Time Prediction Algorithm and Its Applications in Hospital Queuing-Recommendation in a Big Data Environment
3Adaptive Replication Management in HDFS based on Supervised Learning
4CaCo: An Efficient Cauchy Coding Approach for Cloud Storage Systems
5Clustering of Electricity Consumption Behavior Dynamics toward Big Data Applications
6Distributed In-Memory Processing of All k Nearest Neighbor Queries
7Dynamic Job Ordering and Slot Configurations for MapReduce Workloads
8Dynamic Resource Allocation for MapReduce with Partitioning Skew
9FiDoop -DP: Data Partitioning in Frequent Itemset Mining on Hadoop Clusters
10H2Hadoop: Improving Hadoop Performance using the Metadata of Related Jobs
11Hadoop Performance Modeling for Job Estimation and Resource Provisioning
12K Nearest Neighbour Joins for Big Data on MapReduce: a Theoretical and Experimental Analysis
13Novel Scheduling Algorithms for Efficient Deployment of MapReduce Applications in Heterogeneous Computing Environments
14On Traffic -Aware Partition and Aggregation in MapReduce for Big Data Applications
15Optimization for Speculative Execution in Big Data Processing Clusters
16A Random-Forest Approach to Auto-Tuning Hadoop’s Configuration
17Service Rating Prediction by Exploring Social Mobile Users’ Geographical Locations
18Wide Area Analytics for Geographically Distributed Datacenters
19Processing Cassandra Datasets with Hadoop-Streaming Based Approaches
20Protection of Big Data Privacy