S.No
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Title
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Domain
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Year
|
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||
1
|
|
An Incremental and
Distributed Inference Method for
|
|
|
Cybernetics
|
|
Jan 2015
|
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|
|
Large-Scale Ontologies Based on MapReduce Paradigm
|
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2
|
|
Self-Adjusting Slot Configurations for
Homogeneous
|
|
Cloud Computing
|
Mar 2015
|
|
||
|
|
and Heterogeneous
Hadoop Clusters
|
|
|
|
|
|
|
3
|
|
Hadoop Recognition of
Biomedical Named Entity Using
|
|
|
Parallel and
|
|
2015
|
|
|
|
Conditional Random Fields
|
|
|
Distributed
|
|
|
|
|
|
|
|
|
|
|
||
|
|
|
|
|
Systems
|
|
|
|
4
|
|
Real-Time Big Data Analytical Architecture for Remote
|
|
Remote Sensing
|
May 2015
|
|
||
|
|
Sensing Application
|
|
|
|
|
|
|
5
|
|
DyScale: a MapReduce Job
Scheduler for
|
|
|
Cloud Computing
|
|
Mar 2015
|
|
|
|
Heterogeneous Multicore Processors
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
6
|
|
CaCo: An Efficient Cauchy Coding Approach for
Cloud
|
|
Computers
|
May 2015
|
|
||
|
|
Storage Systems
|
|
|
|
|
|
|
7
|
|
Cost-Effective
Resource Provisioning for MapReduce in
|
|
|
Parallel and
|
|
May 2015
|
|
|
|
a Cloud
|
|
|
Distributed
|
|
|
|
|
|
|
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||
|
|
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|
|
Systems
|
|
|
|
8
|
|
PRISM: Fine-Grained Resource-Aware Scheduling for
|
|
Cloud Computing
|
Jun 2015
|
|
||
|
|
MapReduce
|
|
|
|
|
|
|
9
|
|
RFHOC: A
Random-Forest Approach to Auto-Tuning
|
|
|
Parallel and
|
|
Jun 2015
|
|
|
|
Hadoop’s Configuration
|
|
|
Distributed
|
|
|
|
|
|
|
|
|
|
|
||
|
|
|
|
|
Systems
|
|
|
|
10
|
|
HFSP: Bringing Size-Based Scheduling To Hadoop
|
|
Cloud Computing
|
Jan 2015
|
|
||
11
|
|
FiDoop: Parallel Mining of Frequent Itemsets
Using
|
|
|
Cybernetics
|
|
Jun 2015
|
|
|
|
|
|
|
|
|
|
|
|
|
MapReduce
|
|
|
|
|
|
|
12
|
|
Processing Cassandra Datasets with Hadoop-
|
|
Service Computing
|
Jun 2015
|
|
||
|
|
Streaming Based Approaches
|
|
|
|
|
|
|
13
|
|
Efficient Motif Discovery
for Large-Scale Time Series in
|
|
|
Industrial
|
|
Jun 2015
|
|
|
|
Healthcare
|
|
|
Informatics
|
|
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Wednesday, 5 August 2015
IEEE BIGDATA HADOOP PROJECTS 2015-2016
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