Semi-Supervised Outlier Detection with Only Positive and Unlabeled Data Based on Fuzzy Clustering.
Armin DaneshpazhouhAshkan SamiPublished in: Int. J. Artif. Intell. Tools (2015)
Keyphrases
- outlier detection
- fuzzy clustering
- semi supervised
- semi supervised learning
- fuzzy c means
- fuzzy clustering algorithm
- possibilistic clustering
- clustering algorithm
- credit card fraud detection
- density estimation
- detection algorithm
- labeled data
- fuzzy c means algorithm
- fraud detection
- unsupervised learning
- membership functions
- knowledge discovery
- unlabeled data
- detecting outliers
- data streams
- cluster analysis
- pairwise
- fuzzy clustering algorithms
- active learning
- density ratio estimation
- supervised learning
- fuzzy clustering method
- distance based outlier detection
- cluster centers
- data mining
- neural network
- databases
- fuzzy c means clustering algorithm
- outlier mining
- clustering method
- fuzzy logic
- training set
- face recognition
- information retrieval
- spatial outliers