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IEEE 2014 Final Year Projects | Big Data

IEEE 2014 Final Year Projects :: Big Data – Titles & Abstracts


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IEEE Titles 2014 :: Big Data

ETPL BD-001

Cost Minimization for Big Data Processing in Geo-Distributed Data Centers

ETPL BD-002

ClubCF: A Clustering-based Collaborative Filtering Approach for Big Data Application

ETPL BD-003

Large Iterative Multitier Ensemble Classifiers for Security of Big Data

ETPL BD-004

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

ETPL BD-005

Extending MapReduce across Clouds with Bstream

ETPL BD-006

DynamicMR: A Dynamic Slot Allocation Optimization Framewor k for MapReduce Clusters

ETPL BD-007

Dache: A data aware caching for big-data applications using the MapReduce framework

ETPL BD-008

KASR: A Keyword-Aware Service Recommendation Method on MapReduce for Big Data Application

ETPL BD-009

Budget-Driven Scheduling Algorithms for Batches of MapReduce Jobs in Heterogeneous Clouds

june, 2018

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Get it Now! 5000+ IEEE Project Lists

Elysium feels proud in building strategic long-term relationships with the clients across worldwide. We believe that the best solutions evolve from the collaborative relationships with our clients. As a global consultant, we work closely with the clients to understand their unique business transformation goals, design best-in-class solutions and devise the most efficient plan for implementing their strategy across the organization.

Our ETPL is renowned for our reputed services in offering real time projects for the students of engineering and science stream. Our prime motto is to fulfill the needs of the students in every aspect of our work. We also extend our guidance services to the research scholars.

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