Semi-supervised outlier detection via bipartite graph clustering.
Ayman El-KilanyNeamat El TaziEhab EzzatPublished in: AICCSA (2016)
Keyphrases
- outlier detection
- graph clustering
- semi supervised
- bipartite graph
- graph partitioning
- graph model
- semi supervised learning
- labeled data
- link prediction
- knowledge discovery
- supervised learning
- unlabeled data
- detection algorithm
- pairwise
- detecting outliers
- unsupervised learning
- data streams
- detect outliers
- community detection
- clustering method
- data mining
- semi supervised clustering
- weighted graph
- network analysis
- active learning
- principal component analysis
- normalized cut
- k means
- clustering algorithm
- computer vision
- edge weights
- information retrieval
- databases