An extension to association rules using a similarity-based approach in semantic vector spaces.
Brian Keith NorambuenaClaudio Meneses VillegasPublished in: Intell. Data Anal. (2019)
Keyphrases
- vector space
- association rules
- distance measure
- semantic similarity
- cosine similarity
- similarity search
- similarity measure
- graph classification
- association rule mining
- euclidean space
- data mining
- intrinsic dimensionality
- euclidean distance
- latent semantic indexing
- distance function
- semantic information
- riemannian manifolds
- similarity measurement
- metric space
- knowledge discovery
- mining algorithm
- co occurrence
- itemsets
- data mining techniques
- feature vectors
- frequent itemsets
- similarity queries
- pattern recognition
- distance metric
- knn
- low dimensional
- principal component analysis