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7 Result(s)

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  1. No Access

    Chapter and Conference Paper

    Indexing and Mining of the Local Patterns in Sequence Database

    Previous studies on frequent pattern discovery from temporal sequence mainly consider finding global patterns, where every record in a sequence contributes to support the patterns. In this paper, we present a ...

    **aoming **, Likun Wang, Yuchang Lu… in Intelligent Data Engineering and Automated… (2002)

  2. No Access

    Chapter and Conference Paper

    Micro Similarity Queries in Time Series Database

    Currently there is no model available that would facilitate the task of finding similar time series based on partial information that interest users. We studied a novel query problem class that we termed micro...

    **ao-ming **, Yuchang Lu, Chunyi Shi in Advances in Knowledge Discovery and Data Mining (2001)

  3. No Access

    Chapter and Conference Paper

    Concept Approximation in Concept Lattice

    In this paper we present a novel approach to the concept approximations in concept lattice. Using the similar idea of rough set theory and unique properties of concept lattice, upper and lower approximations o...

    Keyun Hu1, Yuefei Sui, Yuchang Lu, Ju Wang… in Advances in Knowledge Discovery and Data M… (2001)

  4. No Access

    Chapter and Conference Paper

    Learning Bayesian Networks with Hidden Variables Using the Combination of EM and Evolutionary Algorithms

    In this paper, a new method, called EM-EA, is put forward for learning Bayesian network structures from incomplete data. This method combines the EM algorithm with an evolutionary algorithm (EA) and transforms...

    Fengzhan Tian, Yuchang Lu, Chunyi Shi in Advances in Knowledge Discovery and Data Mining (2001)

  5. No Access

    Chapter and Conference Paper

    A Heuristic Optimal Reduct Algorithm

    Reduct finding, especially optimal reduct finding, similar to feature selection problem, is a crucial task in rough set applications to data mining, In this paper, we propose a heuristic reduct finding algorit...

    Keyun Hu, Lili Diao, Yuchang Lu, Chunyi Shi in Intelligent Data Engineering and Automated… (2000)

  6. No Access

    Chapter and Conference Paper

    Incremental Discovering Association Rules: A Concept Lattice Approach

    Concept lattice is an efficient tool for data analysis. Mining association rules is a important subfield of data mining. In this paper we investigate the ability of concept lattice on associate rules and prese...

    Keyun Hu, Yuchang Lu, Chunyi Shi in Methodologies for Knowledge Discovery and Data Mining (1999)

  7. No Access

    Chapter and Conference Paper

    Integrating Classification and Association Rule Mining: A Concept Lattice Framework

    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 lattice framework. We present a fast algorithm to extra...

    Keyun Hu, Yuchang Lu, Lizhu Zhou, Chunyi Shi in New Directions in Rough Sets, Data Mining,… (1999)