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    Chapter

    Concept Lattice-based Approach for Incrementally Association Mining

    In this paper, a novel Concept Lattice-based Incrementally Large Itemset Generation Algorithm (CLLGA) is presented to discover association rules. As an important database discovery method, the kernel of associ...

    Yi Zhao, Da Ruan, Pengfei Shi in Soft Computing for Risk Evaluation and Management (2001)

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    Chapter

    Interesting Rough Lattice-based Implication Rules Discovery

    As an important data mining technique, implication rules help to explore the dependencies among attributes of a database. In this paper, we aim at finding an efficient algorithm to discover the implication rul...

    Yi Zhao, Jianliang Shi, Da Ruan, Pengfei Shi in Soft Computing for Risk Evaluation and Man… (2001)