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Association Rules Mining Based on the Discriminative Concept Lattice. As a fundamental data mining task, frequent pattern mining has widespread applications in many different domains. Concept lattice is a very useful formal analysis tool.
Jan 4, 2021
In this paper, we present a new concept called discriminative attributes (discriminative intension). Every attributes has different discriminative power (DISP).
This paper presents a new concept called discriminative attributes (discriminative intension), a new method to calculate the DISP and reset the value under ...
An algorithm for mining and updating association rules based on fuzzy concept lattice is proposed. When a new attribute is added into the fuzzy concept lattice, ...
association rules [4]. In this paper, we introduce a novel approach of association rules mining based on Formal Concept Analysis. The remainder of the paper ...
Therefore, a common strategy adopted by many association rule mining algorithms is to decompose the problem into two major subtasks: 1. Frequent Itemset ...
Association Rules Mining Based on the Discriminative Concept Lattice, Proceedings of the 5th International Conference on Natural Computation, ICNC 2009 ...
Concept lattice is an efficient tool for data analysis. In this paper we show how classification and association rule mining can be unified under concept ...
Discriminative pattern mining and its applications in bioinformatics
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Direct mining of discriminative and essential frequent patterns via model-based search tree ... CPAR: classification based on predictive association rules . In.
An effective hash-based algorithm for mining association rules. SIGMOD ... Let η be the minimum confidence of all discriminant rules generated from a given ...