Beyond market baskets: generalizing association rules to correlations
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Fast algorithms for mining association rules and sequential patterns
Fast algorithms for mining association rules and sequential patterns
ACM SIGKDD Explorations Newsletter
Compositional mining of multirelational biological datasets
ACM Transactions on Knowledge Discovery from Data (TKDD)
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This paper proposes a navigational method for mining by collecting evidences from diverse data sources. Since the representation method and even semantics of data elements differ widely from one data source to the other, consolidation of data under a single platform doesn't become cost effective. Instead, this paper has proposed a method of mining in steps where knowledge gathered in one step or from one data source is transferred to the next step or next data source exploiting a distributed environment. This incremental mining process ultimately helps in arriving at the desired result. The entire work has been done in the domain of systems biology. Indication has been given how this process can be followed in other application areas as well.