DocumentCode :
2731810
Title :
Finding Skyline and Top-k Bargaining Solutions
Author :
Soliman, M.A. ; Ilyas, I.F. ; Koudas, N.
Author_Institution :
Sch. of Comput. Sci., Waterloo Univ., Ont., Canada
fYear :
2007
fDate :
15-20 April 2007
Firstpage :
1263
Lastpage :
1267
Abstract :
We address skyline and top-k processing in Web interaction scenarios. We model the problem space based on game theory principles and present new algorithms and heuristics to realize solutions efficiently.
Keywords :
Internet; database theory; game theory; query processing; Web interaction scenario; game theory; skyline bargaining solution; top-k bargaining solution; Birds; Computer science; Context modeling; Databases; Game theory; Heuristic algorithms; Large-scale systems; Privacy; Protocols; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering, 2007. ICDE 2007. IEEE 23rd International Conference on
Conference_Location :
Istanbul
Print_ISBN :
1-4244-0802-4
Type :
conf
DOI :
10.1109/ICDE.2007.368989
Filename :
4221779
Link To Document :
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