Master Thesis Big Data Analytics Projects

    Master Thesis Big Data Analytics Projects offer custom thesis writing support for final year master students and doctorate students. Big Data Analytics is a hot research area that provides innovative way to capable of capturing data and storing data. Several techniques are developed to make the system efficient. Artificial Intelligence, Machine Learning and Deep Learning approaches are used to improve the big data analytics system. Apart from the previously mentioned techniques, plenty of databases such as Hadoop, Spark, Flink can be used to prove their success in real-time. We have 150+ experts who have the 15+ years of experience in various research domains and programming languages.

 Now, let’s see the Latest Big Data Concepts for Final Year Students

• Data Deduplication (Encrypted/Non-encrypted) Over Hadoop Framework
• Privacy Preservation in Big Data for Online Social Network Users
• Improving Big Data/Hadoop Performance using Machine Learning
• Comparison of Performance in Hadoop and Spark
• Big Data Analytics in Healthcare System
• Overlapping Community Detection in Big Data Analytics
• Opinion Mining and Sentiment Analysis over Hadoop
• Ontological Tree/Dictionary Construction in Big Data Analysis
• Artificial Intellgence/Machine learning/Deep learning Approaches

   Hope you get some latest information about Master Thesis Big Data Analytics Projects. For further information, please contact us. We provide 24/7 customer service for students.

Below we provide a list of titles for your final year projects,

• Most Recent Big Data Analytics Projects Titles
• Distributed Analysis, Storage and Exploration of Multidimensional Phenomena: Trident
• Big Data Analytics as a Service based Model to Make the Big Data to Next Step [Master Thesis Big Data Analytics Projects]
• Distributed Processing and Analysis Model of NGS Data Under MAP-REDUCE framework
• Design Faults Automatic Testing for MapReduce Applications
• A Novel Approach for Declarative and Soft Fishing Information over Big Data Lake
• A Secure Tensor Decomposition Technique for Big Data Analytics by Transparent Computing Paradigm
• Reinforcement Learning based Renewable Energy Aware Big Data Analytics for Geo-distributed Data Centers
• A fMRI Big Data Analytics using a Distributed Computing Platform
• A Big Data Support Online Learning Approach in Accurate Push for Content-Centric Social Networks [Master Thesis Big Data Analytics Projects]
• Parallel and Fast Computing Approach using Big Data Analysis based Collaboration Cloud Service