作者: Ge Hao , Li Longshu , Yang Chuanjian , Ding Jian
DOI: 10.1007/S10462-017-9570-6
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摘要: Attribute reduction plays a vital role in many areas of data mining and knowledge discovery. In the real world, several sets may vary dynamically incremental algorithms have been proposed to update reduct. Further improvement performance approach is an important task that can help increase efficiency discovery dynamic systems. This paper researches via acceleration strategy compute new reduct based on conflict region. We firstly introduce concepts propositions region give static algorithm Consequently, mechanisms for are discussed. Then, two updating when one single object multi-objects added decision systems developed. Finally, experiments different from UCI show effectiveness with addition objects.