Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data.
Xiaolei LiJiawei HanPublished in: VLDB (2007)
Keyphrases
- multi dimensional
- anomaly detection
- high dimensional
- sequential pattern mining
- sequential patterns
- subspace clusters
- low dimensional
- detect anomalies
- query processing
- periodic patterns
- data mining
- multiple dimensions
- subspace clustering
- web mining
- dimensionality reduction
- frequent pattern mining
- approximate functional dependencies
- pattern discovery
- pattern mining
- network traffic
- mining algorithm
- range queries
- interesting patterns
- frequent patterns
- data analysis
- knowledge discovery
- exact and approximate
- input data
- data sets
- detecting anomalies
- high utility
- data mining techniques
- multi dimensional data
- itemset mining
- data cleaning
- multi source
- high dimensional data
- frequent itemsets
- data mining tasks