vHadoop: A Scalable Hadoop Virtual Cluster Platform for MapReduce-Based Parallel Machine Learning with Performance Consideration.
Kejiang YeXiaohong JiangYanzhang HeXiang LiHaiming YanPeng HuangPublished in: CLUSTER Workshops (2012)
Keyphrases
- mapreduce framework
- machine learning
- cloud computing
- map reduce
- parallel programming
- commodity hardware
- parallel processing
- large scale data sets
- frequent itemset mining
- parallel computing
- real time
- machine learning algorithms
- open source
- computer vision
- parallel computation
- virtual laboratory
- information extraction
- natural language processing
- learning algorithm
- virtual reality
- efficient implementation
- machine learning methods
- active learning
- parallel implementation
- knowledge acquisition
- shared memory
- data sets
- virtual environment
- data management
- pattern recognition
- hierarchical clustering
- augmented reality
- distributed computing
- feature selection
- massively parallel
- supervised learning
- reinforcement learning
- life long
- artificial intelligence
- clustering algorithm
- decision trees
- parallel architecture
- knowledge discovery
- data intensive
- text mining
- inductive logic programming
- data clustering