Big Data IEEE Projects
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Big Data IEEE Projects for Final Year Engineering Students
I. IEEE 2016 BIGDATA (Hadoop) based DATA MINING
- Collaborative Filtering-Based Recommendation of Online Social Voting (IEEE 2017).
- A Health Decision Support System for Disease Diagnosis based on Wearable Medical Sensors and Machine Learning Ensembles (IEEE 2017).
- Predicting Social Emotions from Readers’ Perspective (IEEE 2017).
- Real-Time or Near Real-Time Persisting Daily Healthcare Data into HDFS and Elastic-search Index inside a Big Data Platform (IEEE 2017).
- Learning to Extract Action Descriptions from Narrative Text (IEEE 2017).
II. IEEE 2016 BIGDATA (Hadoop) based WEB MINING
- Studying the Scope of Negation for Spanish Sentiment Analysis on Twitter (IEEE 2017).
- Statistical Features Based Real-time Detection of Drifted Twitter Spam (IEEE 2017).
- Improving Performance of Heterogeneous Map Reduce Clusters with Adaptive Task Tuning (IEEE 2017).
- Sorting of Fully Homomorphic Encrypted Cloud Data: Can Partitioning be effective? (IEEE 2017).
- On Distributed Fuzzy Decision Trees for Big Data (IEEE 2017).
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Why Big Data
Do you know how many data we create on a single day? Its 2.5 quintillion bytes of data. Isn’t it Amazing? Have you ever thought were these data’s comes from? It comes from everywhere around the world like from sensors used to gather climatic information, posts to social media sites, cell phones gps signals, digital pictures and videos, purchase transaction records. This data is Big data. IT executives continually evaluate the technology trends that will impact their business based on analysis of this data’s. Company Employs Data scientist to analyze their technology trends through various phases. It takes some technical know-how to define how the data is collected & stored. Today’s Business intelligence is mainly based on analysis of these big data rather than going through many complicated technical steps.
Why Big Data at UNIQ
At UNIQ Technologies, Chennai we offer IEEE final year projects on Big data. We train students on Big data development in such a way that, students are endorsed with the ability to develop their own big data projects. Training is given by Experts from MNC’s companies which ensure the quality of the learning. We provide A to Z materials for each project modules and guide them for review presentations till the end of their academic project. Training is more practical with graphical analysis rather than theoretical. A Convenient time is provided for training to facilitate students coming from different parts of the state. So why wait? Join us for better future ahead.
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