GRD is an algorithm for k-most interesting rule discovery. In contrast to association rule discovery, GRD does not require the use of a minimum support ...
Oct 22, 2024 · GRD is an algorithm for k-most interesting rule discovery. In contrast to association rule discovery, GRD does not require the use of a ...
We seek to extend GRD to mining negative rules so as to enable negative rules to be discovered without the need to specify minimum support constraints. 2 ...
This paper reports efficient techniques to extend GRD to support mining of negative rules. We demonstrate that the new approach provides tractable discovery of ...
Association Rule Discovery is an approach to mining rules from data in a database. Often, the database is a database of transactions.
Abstract. GRD is an algorithm for k-most interesting rule discovery. In contrast to association rule discovery, GRD does not require the.
Association Rule Discovery is an approach to mining rules from data in a database. Often, the database is a database of transactions.
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An extended form for negative association rules is proposed, and a corresponding mining algorithm is presented that is efficient on simple and sparse ...
Mining negative rules using GRD D. R. · Outline • Introduction • OPUS • GRD • Conclusion · Introduction • Association rule • A ==> B (A is antecedent ,B is ...
We propose an alternative model, in which a descriptive mining system operates on data already aggregated for OLAP, namely, on periodic snapshots of observed ...