Huaiguo Fu

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Concept lattice is an effective tool and platform for data analysis and knowledge discovery such as classification or association rules mining. The lattice algorithm to build formal concepts and concept lattice plays an essential role in the application of concept lattice. We propose a new efficient scalable lattice-based algorithm: ScalingNextClosure to(More)
Formal Concept Analysis (FCA) is an effective tool for data analysis and knowledge discovery. Concept lattice, which is derived from mathematical order theory and lattice theory, is the core of FCA. Many research works of various areas show that concept lattices structures is an effective platform for data mining, machine learning, information retrieval,(More)
Large, dense-packed and high-dimensional data mining is one challenge of frequent closed itemset mining for association analysis, although frequent closed itemset mining is an efficient approach to reduce the complexity of mining frequent itemsets. This paper proposes a distributed algorithm to address the challenge of discovering frequent closed itemsets(More)