Temporal Dominant Relationship Analysis Method:A Corner Transformation Approach
Hong Chen · Jisuanji kexue yu tansuo · 2009
This paper introduces novel skyline query types taking into account not only min/max hard attributes but also temporal attribute and the relationships between these different attribute types.It finds the interrelated connection between the time-evolving attributes and the dominant relationship.Based on this discovery,it defines the novel dominant relationship based on temporal aggregation and uses it to analyze the problem of positioning a product in a competitive market while the time frame is required.And a new and efficient method is proposed to process temporal aggregation dominant relationship queries using corner transformation.Experimental evaluation using a real dataset and various synthetic datasets demonstrates that the new query types are indeed meaningful and the proposed algorithms are efficient and scalable.