A guided tour of Chernoff bounds
Information Processing Letters
Rank aggregation methods for the Web
Proceedings of the 10th international conference on World Wide Web
Optimal aggregation algorithms for middleware
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Redefining Clustering for High-Dimensional Applications
IEEE Transactions on Knowledge and Data Engineering
Proceedings of the 17th International Conference on Data Engineering
Efficient and Effective Clustering Methods for Spatial Data Mining
VLDB '94 Proceedings of the 20th 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
Preference formulas in relational queries
ACM Transactions on Database Systems (TODS)
Maximal vector computation in large data sets
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Discovering strong skyline points in high dimensional spaces
Proceedings of the 14th ACM international conference on Information and knowledge management
Finding k-dominant skylines in high dimensional space
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
DADA: a data cube for dominant relationship analysis
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Making database systems usable
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Shooting stars in the sky: an online algorithm for skyline queries
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Foundations of preferences in database systems
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Approaching the skyline in Z order
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
On dominating your neighborhood profitably
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Categorical skylines for streaming data
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Mining preferences from superior and inferior examples
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
On domination game analysis for microeconomic data mining
ACM Transactions on Knowledge Discovery from Data (TKDD)
Skyframe: a framework for skyline query processing in peer-to-peer systems
The VLDB Journal — The International Journal on Very Large Data Bases
Distance-Based Representative Skyline
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Minimizing the communication cost for continuous skyline maintenance
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Journal of Artificial Intelligence Research
Discovering relative importance of skyline attributes
Proceedings of the VLDB Endowment
Understanding the meaning of a shifted sky: a general framework on extending skyline query
The VLDB Journal — The International Journal on Very Large Data Bases
Parallelizing skyline queries for scalable distribution
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
Preference elicitation in prioritized skyline queries
The VLDB Journal — The International Journal on Very Large Data Bases
Database research at the National University of Singapore
ACM SIGMOD Record
SkyView: a user evaluation of the skyline operator
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
IPS: an interactive package configuration system for trip planning
Proceedings of the VLDB Endowment
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Computing preference queries has received a lot of attention in the database community. It is common that the user is unsure of his/her preference, so care must be taken to elicit the preference of the user correctly. In this paper, we propose to elicit the preferred ordering of a user by utilizing skyline objects as the representatives of the possible ordering. We introduce the notion of order-based representative skylines which selects representatives based on the orderings that they represent. To further facilitate preference exploration, a hierarchical clustering algorithm is applied to compute a denogram on the skyline objects. By coupling the hierarchical clustering with visualization techniques, we allow users to refine their preference weight settings by browsing the hierarchy. Extensive experiments were conducted and the results validate the feasibility and the efficiency of our approach.