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Hypergraph Models and Algorithms for Data-Pattern-Based Clustering
2004
Data mining and knowledge discovery
In traditional approaches for clustering market basket type data, relations among transactions are modeled according to the items occurring in these transactions. However, an individual item might induce different relations in different contexts. Since such contexts might be captured by interesting patterns in the overall data, we represent each transaction as a set of patterns through modifying the conventional pattern semantics. By clustering the patterns in the dataset, we infer a clustering
doi:10.1023/b:dami.0000026903.59233.2a
fatcat:scgutyr6pzbw5bwszuuj3abgy4