Computing dominances inEn (short communication)
Information Processing Letters
Multi-objective genetic algorithm and its applications to flowshop scheduling
Computers and Industrial Engineering
Distance browsing in spatial databases
ACM Transactions on Database Systems (TODS)
On Finding the Maxima of a Set of Vectors
Journal of the ACM (JACM)
Proceedings of the 17th International Conference on Data Engineering
A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Efficient Progressive Skyline Computation
Proceedings of the 27th International Conference on Very Large Data Bases
FGKA: a Fast Genetic K-means Clustering Algorithm
Proceedings of the 2004 ACM symposium on Applied computing
Progressive skyline computation in database systems
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
Stratified computation of skylines with partially-ordered domains
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Efficient computation of the skyline cube
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Catching the best views of skyline: a semantic approach based on decisive subspaces
VLDB '05 Proceedings of the 31st international conference on Very large data bases
A compact space decomposition for effective metric indexing
Pattern Recognition Letters
Maintaining Sliding Window Skylines on Data Streams
IEEE Transactions on Knowledge and Data Engineering
Robust Cardinality and Cost Estimation for Skyline Operator
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
SUBSKY: Efficient Computation of Skylines in Subspaces
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Refreshing the sky: the compressed skycube with efficient support for frequent updates
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Finding k-dominant skylines in high dimensional space
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Continuous Skyline Queries for Moving Objects
IEEE Transactions on Knowledge and Data Engineering
Shooting stars in the sky: an online algorithm for skyline queries
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Efficient skyline computation over low-cardinality domains
VLDB '07 Proceedings of the 33rd 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
Angle-based space partitioning for efficient parallel skyline computation
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Efficient skyline querying with variable user preferences on nominal attributes
Proceedings of the VLDB Endowment
Multi-objective genetic algorithms based automated clustering for fuzzy association rules mining
Journal of Intelligent Information Systems
Skyline Query Processing for Incomplete Data
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Multicriteria network design using evolutionary algorithm
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
On set-based multiobjective optimization
IEEE Transactions on Evolutionary Computation
Recursive lists of clusters: a dynamic data structure for range queries in metric spaces
ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
Clustering by integrating multi-objective optimization with weighted k-means and validity analysis
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A two-leveled symbiotic evolutionary algorithm for clustering problems
Applied Intelligence
Solving Japanese nonograms by Taguchi-based genetic algorithm
Applied Intelligence
Dynamic clustering using combinatorial particle swarm optimization
Applied Intelligence
Cell assignment in hybrid CMOS/nanodevices architecture using Tabu Search
Applied Intelligence
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Skyline computation in databases has been a hot topic in the literature because of its interesting applications. The basic idea is to find non-dominated values within a database. The task is mainly a multi-objective optimization process as described in this paper. This motivated for our approach that employs a multi-objective genetic algorithm based clustering approach to find the pareto-optimal front which allows us to locate skylines within a given data. To tackle large data, we simply split the data into manageable subsets and concentrate our analysis on the subsets instead of the whole data at once. The proposed approach produced interesting results as demonstrated by the outcome from the conducted experiments.