HADOOP | BIG DATA

A Scalable Data Chunk Similarity based Compression Approach for Efficient Big Sensing Data Processing on Cloud

A Systematic Approach Toward Description and Classification of Cybercrime Incidents

Achieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud

AHDFS: An Erasure-Coded Data Archival System for Hadoop Clusters

Big Data Privacy in Biomedical Research

Cost-Aware Big Data Processing across Geo-distributed Datacenters

Disease Prediction by Machine Learning over Big Data from Healthcare Communities

DyScale: a MapReduce Job Scheduler for Heterogeneous Multicore Processors

Efficient Processing of Skyline Queries Using MapReduce

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

Hadoop MapReduce for Mobile Clouds

Mining Human Activity Patterns from Smart Home Big Data for Healthcare Applications

PPHOPCM: Privacy-preserving High-order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing

Practical Privacy-Preserving MapReduce Based K-means Clustering over Large-scale Dataset

Public Interest Analysis Based on Implicit Feedback of IPTV Users

Ring: Real-Time Emerging Anomaly Monitoring System over Text Streams

Robust Big Data Analytics for Electricity Price Forecasting in the Smart Grid

Scalable Uncertainty-Aware Truth Discovery in Big Data Social Sensing Applications for Cyber-Physical Systems

Self-Adjusting Slot Configurations for Homogeneous and Heterogeneous Hadoop Clusters

Service Rating Prediction by Exploring Social Mobile Users’ Geographical Locations

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-

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

An Incremental and Distributed Inference Method for Large-Scale Ontologies Based on MapReduce Paradigm

DyScale: a MapReduce Job Scheduler for Heterogeneous Multicore Processors

Real-Time Big Data Analytical Architecture for Remote Sensing Application

Self-Adjusting Slot Configurations for Homogeneous and Heterogeneous Hadoop Clusters

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