The framework consists of a generic rule mining engine (VI), and a variant description language (VDL) for defining attribute-specific behavior. Besides ...
The mining of informative rules calls for methods that in- clude different attributes (e.g., weights, quantities, multiple-.
A framework called CRYSTALBALL is developed that supports declarative mining of different rules (i.e., variants) involving several attributes and eliminates ...
In this paper we consider this problem, dealing with both algorithmic and data aspects of association rule mining by performing a systematic experimental ...
The framework consists of a generic rule mining engine (VI), and a variant description language (VDL) for defining attribute-specific behavior. Besides ...
The framework consists of a generic rule mining engine (VI), and a variant description language (VDL) for defining attribute-specific behavior. Be- sides ...
In this paper, we introduce the increasing belief criterion in association rule mining. The criterion uses a recursive application of Bayes' theorem to ...
Kok-Leong Ong, Wee Keong Ng, Ee-Peng Lim: CrystalBall : A Framework for Mining Variants of Association Rules. ADC 2003: 85-94. manage site settings.
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Mining Variants of. Rules Using the CrystalBall Framework. CAIS Technical. Report, Nov. 2001. [16] O. R. Zaiane, J. Han, and H. Zhu. Mining Recurrent Items in ...
The mining of informative rules calls for methods that include different parameters (e.g., weights, quantities, multiple concepts) suitable for the context ...