Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces.
James BaileyJeffrey ChanKotagiri RamamohanaraoChristopher LeckieWei LiuPublished in: SDM (2013)
Keyphrases
- mining algorithm
- subspace clusters
- spatial co location patterns
- discovering frequent
- knowledge discovery
- web mining
- text mining
- automatically extracting
- frequent patterns
- multi relational
- discovery process
- frequent itemsets
- sequential patterns
- unsupervised learning
- discriminative features
- low dimensional
- discover hidden
- principal component analysis
- order tensor
- association rules
- feature selection
- association mining
- tensor voting
- discriminative power
- association rule mining
- high dimensional data