Mining multiple-level spatial association rules for objects with a broad boundary.
Eliseo ClementiniPaolino Di FeliceKrzysztof KoperskiPublished in: Data Knowl. Eng. (2000)
Keyphrases
- association rules
- association rule mining
- association mining
- knowledge discovery
- mining algorithm
- association rules mining
- mining association rules
- spatial relationships
- itemsets
- frequent itemsets
- frequent patterns
- data mining
- apriori algorithm
- multiple objects
- association patterns
- data mining techniques
- spatial relations
- spatial objects
- individual objects
- market basket data
- cross level
- d objects
- weighted association rules
- object level
- spatio temporal
- spatial data
- rule mining
- interesting association rules
- spatial datasets
- subspace clusters
- discovered knowledge
- quantitative association rules
- interesting patterns
- spatial information
- space time
- rules discovered
- association rule discovery
- spatial extent
- fuzzy association rules
- positive and negative association rules
- spatial arrangement
- discovered rules
- frequent item sets
- spatio temporal data
- multiple types
- relative position
- frequent pattern mining
- object classes
- pattern mining
- moving objects