Frequent positive and negative (FPN) itemset approach for outlier detection.
Anis Suhailis Abdul KadirAzuraliza Abu BakarAbdul Razak HamdanPublished in: Intell. Data Anal. (2014)
Keyphrases
- positive and negative
- outlier detection
- itemsets
- frequent itemsets
- data streams
- condensed representations
- frequent patterns
- positive or negative
- mining algorithm
- decision rules
- detecting outliers
- association rule mining
- fraud detection
- detection algorithm
- density estimation
- knowledge discovery
- data mining
- high dimensional datasets
- density ratio estimation
- association rules
- data structure
- detect outliers
- credit card fraud detection
- pattern mining
- least squares
- training data
- machine learning