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  • [外文会议] Xu He Fan Min William Zhu 2014
    Recommender systems are popular in e-commerce as they provide users with items of interest. Existing top-K approaches mine the K strongest granular association rules for each user, and then recommend r...
    Granular computingRecommender systemGranule association rulesConfidenceSignificance
  • [外文期刊] Lirun Su William Zhu 《International journal of granular computing, rough sets and intelligent systems》, 2013 2
    Covering-based rough set theory is a useful tool to deal with inexact, uncertain or vague knowledge in information systems. In order to broaden the application and theoretical areas of rough sets and m...
    rough setcoveringupper approximation operatormatroidclosure operatorunary covering
  • [外文期刊] Jingqian Wang William Zhu 《Journal of applied mathematics》, 2013 Pt.7
    Rough sets provide an efficient tool for dealing with the vagueness and granularity in information systems. They are widely used in attribute reduction in data mining. There are many optimization issue...
    MatricesStructureSets
  • [OA论文] Shiping Wang Qingxin Zhu William Zhu Fan Min , 2013
  • [外文期刊] Shiping Wang William Zhu Qingxin Zhu Fan Min 《International journal of approximate reasoning》, ISTIC EI SCI PKU CSSCI 2013 9
    Covering is a common form of data representation, and covering-based rough sets serve as an efficient technique to process this type of data. However, many important problems such as covering reduction...
    CoveringRough setMatroidGraphRank functionMatching
  • [外文期刊] Hong Zhao Fan Min William Zhu 《Journal of information and computational science》, 2013 13
    In data mining applications, one of the most fundamental problems is feature selection, which can improve the generalization capability of patterns. Recent developments in this field have led to a rene...
    Feature SelectionNormal Distribution Measurement ErrorsTest CostsMisclassification Costs
  • [外文期刊] Hong Zhao Jiabin Liu Fan Min William Zhu 《Journal of information and computational science》, 2013 3
    The observational error has certain universality and is inescapability during the measurement. Many data mining works investigate this issue and respective uncertainty of data. Recently, error-range-ba...
    Normal DistributionUncertain DataError RangeCovering Rough Set
  • [外文期刊] Jiabin Liu Fan Min Shujiao Liao William Zhu 《Journal of information and computational science》, 2013 3
    In many machine learning applications, we need to pay test cost for each data item. Due to limited money and/or time, we also have a constraint on the total test cost. This issue has been recently form...
    Cost-sensitive LearningGenetic AlgorithmAttribute ReductionTest CostConstraint
  • [外文期刊] Jianguo Tang Kun She Fan Min William Zhu 《Theoretical computer science》, ISTIC EI SCI PKU CSSCI 2013
    Rough set theory has been successfully applied to vague and uncertain data due to its approximation ability. Matroid is a sophisticated mathematical structure to provide a unifying abstract treatment f...
    Rough setMatroidP-UMSDirect sumBoundary region
  • [外文会议] Bingxin Xu Huiping Chen William Zhu Xiaozhong Zhu 2013
    Cost-sensitive learning is both hot and difficult in data mining and machine learning applications. Some research considers only one type of cost. Others convert two or more types of cost into the same...
    Cost-sensitive learningrough setsattribute reductionmoney costtime cost
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