We examined the problem of applying association rules in a heterogeneous database. Due to heterogeneity, we have to generalize the notion of association rule to define a new heterogeneous association rule (h-rule) which denotes data association between various types of data in different subsystems of a heterogeneous and multimedia database, such as music pieces vs. photo pictures, etc. Boolean association rule and quantitative association rule are special cases of h-rule. H-rule integrates previously defined rule concepts and expands association rule mining from single dataset mining to database mining.
CITATION STYLE
Yang, Y., & Singhal, M. (1999). H-rule mining in heterogeneous databases. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1574, pp. 99–103). Springer Verlag. https://doi.org/10.1007/3-540-48912-6_13
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