BIG Data Projects Description:
In the modern business environment some industry generate huge amount of data and that keep on growing fast with time like stock exchange data, face book data etc. and so normal software can not manage these types of data and so the concept of Big Data came in to existence. The student having analytical ability with data can go ahead in the data analysis tools. Innovation System Plus offers complete learning environment and provides complete assistance on Research Works for final year and pre-final year students. Projects at Innovation System Plus incorporate the ideas for Electronics Engineering, Embedded Electronics and Software Engineering that offers a wide range of Embedded System, MATLAB, VLSI, MATLAB Simulink and Software Project Solutions like Web Development, Web Applications, Android Apps etc.
Innovation System Plus is committed to provide 100 % satisfaction to the students and give them the complete knowledge on the specific M.Tech Projects and Research Works that make them ready for the challenging corporate environment and finish the project with in the specified deadline with plagiarism free report writing as per university guidelines.
BIG Data Projects List:
- Towards Effective Bug Triage with Software Data Reduction Techniques.
- Co extracting Opinion Targets and Opinion Words from Online Reviews.
- Co extracting Opinion Targets and Opinion Words from Online Reviews.
- App Trends: A Graph-based Mobile App Recommendation System Using Usage History.
- Discovering Temporal Retweeting Patterns for Social Media Marketing Campaigns.
- Mobility Profiling for User Verification with Anonymized Location Data
- An Incremental and Distributed Inference Method for Large-Scale Ontologies Based on MapReduce Paradigm (BIG DATA HADOOP/2015)
- Dy Scale: a MapReduce Job Scheduler for Heterogeneous Multicore Processors (BIG DATA HADOOP /2015)
- Hadoop Recognition of Biomedical Named Entity Using Conditional Random Fields (BIG DATA HADOOP /2015)
- Real-Time Big Data Analytical Architecture for Remote Sensing Application (BIG DATA HADOOP /2015)
- Self-Adjusting Slot Configurations for Homogeneous and Heterogeneous Hadoop Clusters (BIG DATA HADOOP /2015)
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