DKDD_C: A Clustering-Based Approach for Distributed Knowledge Discovery.
Marwa BouraouiHoussem BezzeziAmel Grissa TouziPublished in: ICSI (2) (2016)
Keyphrases
- lightweight
- knowledge discovery
- outlier detection
- clustering algorithm
- data mining tasks
- k means
- conceptual clustering
- clustering method
- hierarchical clustering
- graph theoretic
- data clustering
- decision support
- data warehouse
- data points
- machine learning
- clustering analysis
- databases
- high dimensional data
- unsupervised learning
- data mining and knowledge discovery
- anomaly detection
- wireless sensor networks
- data mining
- association rules
- distributed systems
- neural network
- website
- categorical data
- data analysis
- distributed data mining
- multi agent
- knowledge discovery in databases
- cooperative
- data streams
- spectral clustering
- data sets
- distributed environment
- information theoretic
- self organizing maps
- association rule mining
- pairwise
- peer to peer