FLAT
发表于 2025-3-25 03:20:32
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Aggressive
发表于 2025-3-25 10:33:19
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FILLY
发表于 2025-3-25 11:40:45
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TAP
发表于 2025-3-25 15:52:11
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ROOF
发表于 2025-3-25 21:11:25
Dominance-Based Neighborhood Rough Sets and Its Attribute Reductionhis paper, a novel rough set model, Dominance-based Neighborhood Rough Sets (DNRS), is proposed which aims to process a decision system with hybrid data types where the partial order between objects is taken into consideration. The properties of DNRS are studied. Attribute reduction under DNRS is investigated.
Evolve
发表于 2025-3-26 03:19:18
Mining Incomplete Data with Many Lost and Attribute-Concept Valuestribute values were located in the same places. For five pairs of data sets the error rate, evaluated by ten-fold cross validation, was significantly smaller for lost values than for attribute-concept values (5 % significance level). For the remaining pair of data sets both interpretations of missing attribute values do not differ significantly.
吸气
发表于 2025-3-26 07:58:06
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HAIRY
发表于 2025-3-26 09:04:31
Conference proceedings 2015rts speak; reducts and rules; three-way decisions; logic and algebra; clustering; rough sets and graphs; and modeling and learning. In addition the volume contains 6 contributions by new fellows of the International Rough Set Society, an invited talk and a tutorial.
弄脏
发表于 2025-3-26 14:37:45
PICKT: A Solution for Big Data Analysis to incremental learning for the Velocity, C refers to composite rough set model for the Variety, K refers to knowledge discovery for the Value and T refers to three-way decisions for the Veracity of Big Data.
frozen-shoulder
发表于 2025-3-26 17:04:56
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