Big Data Project Ideas
Big Data Project Ideas offer the brighter opportunities to earn the most brilliant wards with the aid of our experts who inspires creativity. Today, our outstanding professionals are serving the plethora of students and research intellectuals to generate knowledge revolution among your generations in all over the world. We are renovating our world-taking knowledge by advanced technologies, researches, latest versions of software and tools to spread our immense of knowledge for students and research society. Do you zeal to expend our Big Data Project Ideas? You can communicate forthwith us. Go Forth in Life to Achieve your Dreams, We are always hungry to guide in every part of your academic project.
Big Data Project Ideas
Big Data Project Ideas give surprising proficient network for you to get lifetime achievement award for your superb research performance. In this scientific zone, big data is the most important and emerging technology with the main objective of survey and process large volume of data. It is handling massive amount of data in various fields including sales transactions & promotion, medical data analysis, banking transaction, disease export analysis, twitter analysis, insurance data analysis and so on.
Let’s hear some talks of Big Data Project Ideas,
Big Data Analytics Techniques:
- Linear and Non-linear Regressions
- Time Series Models
- A/B Testing
- Factor Analysis
- Principal Component Analysis
- Support Vector Machines
- Bayesian Techniques
- Optimization
- Neural Networks
- Survival Analysis
- Complex and relational data handling
- Sentiment analysis and text analysis
- Genetic Algorithms
- Classification Tree analysis
Big Data Analytics Algorithms:
- Association Rule Mining
- ALOPEX (Correlation based Machine Learning Algorithm)
- Apriori Algorithm
- FP-Growth Algorithm
- Eclat Algorithm
- Zero-attribute rule algorithm
- One-attribute rule algorithm
- Association rule learning
- Meta Algorithm (Boosting)
- AdaBoost (Adaptive Boosting)
- LogitBoost (Logistic regression boosting)
- BrownBoost (Boosting Algorithm)
- LPBoost (Linear programming boosting)
- Decision Tress
- Bootstrap Aggregating (Bagging)
- 5 algorithm [Extension to ID3]
- ID3 algorithm (Iterative Dichotomiser 3)
- Linde-Buzo-Gray Algorithm
- K-Nearest Neighbor algorithm (KNN)
- Locality sensitive hashing
- Neural network
- Back propagation
- Hopfield net (Recurrent Neural Network)
- Perceptron (Feed forward Neural Network)
- Radial Basis Function Network
- Pulse coupled neural networks
- Self-Organizing Map
- Reinforcement Learning
- Random Forest Algorithm
- Q-learning
- Temporal Difference Learning
- State Action Reward State Action
- Relevance Vector Machines (RVM)
- Structured SVM
- Winnow Algorithm
- Streaming and sketching
- Dimensionality Reduction
- Compressed sensing
- Numerical linear algebra
- Cache obliviousness and external memory
Additional Methods for Big Data Analytics:
- Linear or non-linear programming
- Latent Class Methods
- MCMC methods
- Dimensionality Reduction
- Hierarchical Bayes Models
- Structural Equation Models
- Discrete Choice Models
To implement Big Data Project Ideas, see our list of topics:
- Scalable and Secure Multi Party Computation Using Social Aware Decentralization
- Integrate Towards Decision Making Analytics Suing combine and Split Linear Discriminant Analysis
- Power Transmission Frameworks Using Harmonic Distortion Visualization and Assessment
- Fine Grained Access Control Approach for Classification Attributes Based Big Data
- Fashion Outfit Composition Mining on Set Data Using an End to End Deep Learning Mechanism
- Verity of Best Solution Using Big Data Paradigm Spark for Satellite Images Clustering
- Data Processing Infrastructure Based on Multi Representation for Internet of Things Applications
- Design and Implement Security Gateway in Smart Grid for real Time Monitoring and Control Based on Synchrophasor
- Reduce Searching Time and Space Using Existential Probability Weighting Strategy for Big Data Mining
- MapReduce Mechanism for Provisioning Cloud Resource in Theoretical Framework
- Cloud Resource Scaling Using Layered Multi-Dimensional Hidden Markov Approach for Big Data Streaming Applications
- Enriched Reduced Based SCAM Algorithm on Bi Data for Detect Plagiarism
- Exploring Shared State for Multi Pattern Streaming Analytics Based on Window in Key Value Store
- Storing Consistent Fuzzy Geospatial Data Using Mechanism in Big Data Environment
- Fuzzy Rule Interpolation Using Autonomous Application Programming and Robot Obstacle Sensing Interface