hadoop ieee projects 2015-2016
hadoop ieee projects 2015-2016
Hadoop IEEE Projects 2015-2016
Hadoop IEEE Projects 2015-2016 We are offering ieee projects 2015-2016 in latest technology like Java, dot net, android, embedded, matlab, vlsi, hadoop, power elctronics, power system, mechanical, civil projects. We guide all final year M.E/M.Tech, B.E/B.Tech, MPhil, MCA, BCA, M.Sc, B.Sc, and Diploma students for their Academic Projects to get best results. We are offering hadoop ieee projects in pondicherry. LeMeniz Infotech is a new class of software concern committed to catalyzing the competence and competitiveness of its clients by helping them succeed through the power of information technology. Driven by the credo that solutions are effective only when organizational needs are accurately ascertained and aptly addressed; LeMeniz Infotech looks upon itself as an integral part of its client’s organization. We have varied and extensive expertise in software development, web portal development, application software development, e-commerce website development, mobile application development, search engine optimization, bulk sms services, social media marketing, ieee projects guidance and more.
S.NO |
TITLE |
CODE |
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CYBERNETICS |
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1 | An Incremental and Distributed Inference Method for Large-Scale Ontologies Based on MapReduce Paradigm | LM_H015_01 | |
2 | FiDoop: Parallel Mining of Frequent Itemsets Using MapReduce | LM_H015_02 | |
CLOUD COMPUTING |
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3 | Self-Adjusting Slot Configurations for Homogeneous and Heterogeneous Hadoop Cluster | LM_H015_03 | |
4 | DyScale: a MapReduce Job Scheduler for Heterogeneous Multicore Processors | LM_H015_04 | |
5 | PRISM: Fine-Grained Resource-Aware Scheduling for MapReduce | LM_H015_05 | |
6 | HFSP: Bringing Size-Based Scheduling To Hadoop | LM_H015_06 | |
7 | BDCaM: Big Data for Context-aware Monitoring – A Personalized Knowledge Discovery Framework for Assisted Healthcare. | LM_H015_07 | |
8 | FastRAQ: A Fast Approach to Range-Aggregate Queries in Big Data Environments | LM_H015_08 | |
REMOTE SENSING |
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9 | Real-Time Big Data Analytical Architecture for Remote Sensing Application | LM_H015_09 | |
PARALLEL AND DISTRIBUTED SYSTEMS |
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10 | Hadoop Recognition of Biomedical Named Entity Using Conditional Random Fields | LM_H015_10 | |
11 | Cost-Effective Resource Provisioning for MapReduce in a Cloud | LM_H015_11 | |
12 | RFHOC: A Random-Forest Approach to Auto-Tuning Hadoop’s Configuration | LM_H015_12 | |
13 | Hadoop Performance Modeling for Job Estimation and Resource Provisioning | LM_H015_13 | |
COMPUTERS |
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14 | CaCo: An Efficient Cauchy Coding Approach for Cloud Storage Systems | LM_H015_14 | |
15 | Virtual Shuffling for Efficient Data Movement in MapReduce | LM_H015_15 | |
SERVICE COMPUTING |
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16 | Processing Cassandra Datasets with Hadoop-Streaming Based Approaches | LM_H015_16 | |
INDUSTRIAL INFORMATICS |
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17 | Efficient Motif Discovery for Large-Scale Time Series in Healthcare | LM_H015_17 | |
INFORMATION FORENSICS AND SECURITY |
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18 | Privacy-Preserving Ciphertext Multi-Sharing Control for Big Data Storage | LM_H015_18 |