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  • [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
  • [外文会议] Fan Min William Zhu 2013
    Recommender systems are important for e-commerce companies as well as researchers. Recently, granular association rules have been proposed for cold-start recommendation. However, existing approaches re...
    Granular computingrecommender systemgranule association rulecoverageconfidence
  • [外文会议] Xu He Fan Min William Zhu 2013
    Granular association rule mining is a new relational data mining approach to reveal patterns hidden in multiple tables. The current research of granular association rule mining considers only nominal d...
    Granular association rule miningDiscretizationEqual WidthEqual FrequencyRelational data mining
  • [外文会议] Fan Min William Zhu 2013
    Granular association rule is a new approach to reveal patterns hide in many-to-many relationships of relational databases. Different types of data such as nominal, numeric and multi-valued ones should ...
    Association ruleRecommender systemMulti-valuePositive granuleNegative granule
  • [外文会议] Bin Yang William Zhu 2013
    Rough set theory is an effective tool for dealing with vagueness or uncertainty in information systems. It is efficient for data pre-process and widely used in attribute reduction in data mining. Matro...
    Generalized rough setsMatroidCircuitUnion of matroidsUpper and lower approximations
  • [OA论文] Hong Zhao Fan Min William Zhu , 2013
  • [外文会议] Jingqian Wang William Zhu 2013
    As an important technique for granular computing, rough sets deal with vagueness and granularity in information systems. Rough sets are usually used in attribute reduction, however, the corresponding a...
    Approximation operatorContractionMatroidRough set
  • [外文会议] Aiping Huang William Zhu 2013
    The topological properties of coverings and their corresponding covering approximation operators have drawn special attention because these topological properties have important applications in rough s...
    CoveringApproximation operatorTopologyClosure operator
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