COMPUTER SCIENCE

HADOOP

COMPUTER SCIENCE:HADOOP

S.NO
Project Code
IEEE 2017 HADOOP BIG DATA Project Titles
1
ENH2401
Service Rating Prediction by Exploring Social Mobile Users' Geographical Locations
2
ENH2402
Self-Adjusting Slot Configurations for Homogeneous and Heterogeneous Hadoop Clusters
3
ENH2403
Scalable Uncertainty-Aware Truth Discovery in Big Data Social Sensing Applications for Cyber-Physical Systems
4
ENH2404
Robust Big Data Analytics for Electricity Price Forecasting in the Smart Grid
5
ENH2405
Ring: Real-Time Emerging Anomaly Monitoring System over Text Streams
6
ENH2406
Public Interest Analysis Based on Implicit Feedback of IPTV Users
7
ENH2407
Practical Privacy-Preserving MapReduce Based K-means Clustering over Large-scale Dataset
8
ENH2408
PPHOPCM: Privacy-preserving High-order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing
9
ENH2409
Mining Human Activity Patterns from Smart Home Big Data for Healthcare Applications
10
ENH2410
Hadoop MapReduce for Mobile Clouds
11
ENH2411
FiDoop-DP: Data Partitioning in Frequent Itemset Mining on Hadoop Clusters
12
ENH2412
Efficient Processing of Skyline Queries Using MapReduce
13
ENH2413
DyScale: a MapReduce Job Scheduler for Heterogeneous Multicore Processors
14
ENH2414
Disease Prediction by Machine Learning over Big Data from Healthcare Communities
15
ENH2415
Cost-Aware Big Data Processing across Geo-distributed Datacenters
16
ENH2416
Big Data Privacy in Biomedical Research
17
ENH2417
aHDFS: An Erasure-Coded Data Archival System for Hadoop Clusters
18
ENH2418
Achieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud
19
ENH2419
A Systematic Approach Toward Description and Classification of Cybercrime Incidents
20
ENH2420
A Scalable Data Chunk Similarity based Compression Approach for Efficient Big Sensing Data Processing on Cloud
21
ENH2421
A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn
22
ENH2422
A Parallel Patient Treatment Time Prediction Algorithm and Its Applications in Hospital Queuing-Recommendation in a Big Data Environment
23
ENH2423
Adaptive Replication Management in HDFS based on Supervised Learning
24
ENH2424
CaCo: An Efficient Cauchy Coding Approach for Cloud Storage Systems
25
ENH2425
Clustering of Electricity Consumption Behavior Dynamics toward Big Data Applications
26
ENH2426
Distributed In-Memory Processing of All k Nearest Neighbor Queries
27
ENH2427
Dynamic Job Ordering and Slot Configurations for MapReduce Workloads
28
ENH2428
Dynamic Resource Allocation for MapReduce with Partitioning Skew
29
ENH2429
FiDoop-DP: Data Partitioning in Frequent Itemset Mining on Hadoop Clusters
30
ENH2430
H2Hadoop: Improving Hadoop Performance using the Metadata of Related Jobs
31
ENH2431
Hadoop Performance Modeling for Job Estimation and Resource Provisioning
32
ENH2432
K Nearest Neighbour Joins for Big Data on MapReduce: a Theoretical and Experimental Analysis
33
ENH2433
Novel Scheduling Algorithms for Efficient Deployment of MapReduce Applications in Heterogeneous Computing Environments
34
ENH2434
On Traffic-Aware Partition and Aggregation in MapReduce for Big Data Applications
35
ENH2435
Optimization for Speculative Execution in Big Data Processing Clusters
36
ENH2436
Processing Cassandra Datasets with Hadoop-Streaming Based Approaches
37
ENH2437
Protection of Big Data Privacy
38
ENH2438
RFHOC: A Random-Forest Approach to Auto-Tuning Hadoop's Configuration
39
ENH2439
Service Rating Prediction by Exploring Social Mobile Users' Geographical Locations
40
ENH2440
Wide Area Analytics for Geographically Distributed Datacenters