On Finding the Maxima of a Set of Vectors
Journal of the ACM (JACM)
Proceedings of the 17th International Conference on Data Engineering
Efficient Progressive Skyline Computation
Proceedings of the 27th International Conference on Very Large Data Bases
An optimal and progressive algorithm for skyline queries
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Mining thick skylines over large databases
PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
Progressive skyline computation in database systems
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Shooting stars in the sky: an online algorithm for skyline queries
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Dynamic skyline queries in metric spaces
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Efficient skyline computation in metric space
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Promotion analysis in multi-dimensional space
Proceedings of the VLDB Endowment
APWEB '10 Proceedings of the 2010 12th International Asia-Pacific Web Conference
Dynamic skyline queries in large graphs
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part II
Hi-index | 0.00 |
With the rapid development of Social Network (SN for short), people increasingly pay attention to the importance of the roles which they play in the SNs. As is usually the case, the standard for measuring the importance of the members is multi-objective. The skyline operator is thus introduced to distinguish the important members from the entire community. For decision-making, people are interested in the most potential members which can be promoted into the skyline with minimum cost, namely the problem of Member Promotion in Social Networks. In this paper, we propose some interesting new concepts such as Infra-Skyline and Promotion Boundary, and then we exploit a novel promotion boundary based approach, i.e., the InfraSky algorithm. Extensive experiments on both real and synthetic datasets are conducted to show the effectiveness and efficiency of the InfraSky algorithm.