Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
Artificial Intelligence Review
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models
Cluster validity methods: part I
ACM SIGMOD Record
Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization
Proceedings of the 5th International Conference on Genetic Algorithms
Data Mining Using Dynamically Constructed Recurrent Fuzzy Neural Networks
PAKDD '98 Proceedings of the Second Pacific-Asia Conference on Research and Development in Knowledge Discovery and Data Mining
Integrating Multi-Objective Genetic Algorithms into Clustering for Fuzzy Association Rules Mining
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Mining natural language answers from the web
Web Intelligence and Agent Systems
Data Mining with Computational Intelligence (Advanced Information and Knowledge Processing)
Data Mining with Computational Intelligence (Advanced Information and Knowledge Processing)
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
VisiQ: Supporting visual and interactive query refinement
Web Intelligence and Agent Systems
Identifying a hierarchy of bipartite subgraphs for web site abstraction
Web Intelligence and Agent Systems
Multi-objective genetic algorithms based automated clustering for fuzzy association rules mining
Journal of Intelligent Information Systems
VIREX: visual relational to XML conversion tool
Journal of Visual Languages and Computing
Some new indexes of cluster validity
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
TempoXML: Nested bitemporal relationship modeling and conversion tool for fuzzy XML
Information Sciences: an International Journal
| Hi-index | 0.00 |
This paper addresses the development of a plug and run wrapper to incorporate fuzziness into VRXQuery, the querying facility of VIREX which is a user-friendly system for transforming and querying relational data as XML. Our basic argument is not to force the underlying XML data to incorporate fuzziness. Rather, fuzziness is smoothly supported in a novel plug and run manner via a wrapper. Either the user specifies the membership functions for the elements/attributes to be queried as fuzzy, or multi-objective genetic algorithm is used to automatically decide on and optimize the membership functions. As the database is dynamic and updates are very frequent, there is no guarantee that existing membership functions will continue to properly reflect the current database state; this is identified when the cluster homogeneity deviates by a threshold. For the former case, the user will receive a warning; and for the latter case, the system will automatically adjust the clustering and the membership functions. The interface of VIREX has been expanded to allow specifying queries with fuzziness. Then, queries expressed in VRXQuery empowered with fuzziness are translated into corresponding XQuery code, which is run on the underlying XML and the returned result is translated into a fuzzy representation; translation into SQL is also possible. The user is given the choice to display the result either as colored-text or in graphical format.