Computational geometry: an introduction
Computational geometry: an introduction
Combining fuzzy information from multiple systems
Journal of Computer and System Sciences
On Finding the Maxima of a Set of Vectors
Journal of the ACM (JACM)
On the Average Number of Maxima in a Set of Vectors and Applications
Journal of the ACM (JACM)
A framework for expressing and combining preferences
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Multiobjective query optimization
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Optimal aggregation algorithms for middleware
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
PREFER: a system for the efficient execution of multi-parametric ranked queries
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Minimal probing: supporting expensive predicates for top-k queries
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Top-k selection queries over relational databases: Mapping strategies and performance evaluation
ACM Transactions on Database Systems (TODS)
Querying with Intrinsic Preferences
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Proceedings of the 17th International Conference on Data Engineering
Optimizing Multi-Feature Queries for Image Databases
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Efficient Progressive Skyline Computation
Proceedings of the 27th International Conference on Very Large Data Bases
Preferences; Putting More Knowledge into Queries
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
Indexing for progressive skyline computation
Data & Knowledge Engineering
Towards Efficient Multi-Feature Queries in Heterogeneous Environments
ITCC '01 Proceedings of the International Conference on Information Technology: Coding and Computing
Preference formulas in relational queries
ACM Transactions on Database Systems (TODS)
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Supporting top-k join queries in relational databases
The VLDB Journal — The International Journal 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
Foundations of preferences in database systems
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Preference SQL: design, implementation, experiences
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Multi-objective query processing for database systems
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Preferred skyline: a hybrid approach between SQLf and skyline
DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
Summarizing Two-Dimensional Data with Skyline-Based Statistical Descriptors
SSDBM '08 Proceedings of the 20th international conference on Scientific and Statistical Database Management
Reaching the Top of the Skyline: An Efficient Indexed Algorithm for Top-k Skyline Queries
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Data & Knowledge Engineering
Regret-minimizing representative databases
Proceedings of the VLDB Endowment
Interactive regret minimization
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Evaluating top-k skyline queries over relational databases
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
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The WWW has become a huge repository of information. For almost any knowledge domain there may exist thousands of available sources and billions of data instances. Many of these sources may publish irrelevant data. User-preference approaches have been defined to retrieve relevant data based on similarity, relevance or preference criteria specified by the user. Although many declarative languages can express user-preferences, considering this information during query optimization and evaluation remains as open problem. SQLf, Top-k and Skyline are three extensions of SQL to specify user-preferences. The first two filter irrelevant answers following a score-based paradigm. On the other hand, the latter produces relevant non-dominated answers using an order-based paradigm. The main objective of our work is to propose a unified approach that combines paradigms based on order and score. We propose physical operators for SQLf considering Skyline and Top-k features. Properties of those will be considered during query optimization and evaluation. We describe a Hybrid-Naive operator for producing only answers in the Pareto Curve with best score values. We have conducted initial experimental studies to compare the Hybrid operator, Skyline and SQLf.