Performance improvement of group-based queries using FCM and GK fuzzy clustering

International Review on Computers and Software

Volumn 5, Issue 6, 2010, Pages 643-651

  Ghadiri, Nasser ^a   Baraani Dastjerdi, Ahmad ^a   Ghasem Aghaee, Nasser ^a,b   Nematbakhsh, Mohammad A ^a  

^a UNIVERSITY OF ISFAHAN   (Iran)

^b Sheikh Bahaei University   (Iran)

Author keywords

Nearest neighbor query; Spatial group query; Type 2 fuzzy distance

Indexed keywords

DESTINATION POINTS; EVALUATION CRITERIA; FUZZY CLUSTERING METHOD; FUZZY DISTANCE; GROUP-BASED; NEAREST-NEIGHBOR QUERY; NEAREST-NEIGHBORS; PERFORMANCE IMPROVEMENTS; QUERY POINTS; REAL-WORLD APPLICATION; SPATIAL GROUP QUERY; TYPE-2 FUZZY LOGIC;

FUZZY CLUSTERING; FUZZY SYSTEMS;

FUZZY LOGIC;

EID: 79251632190     PISSN: 18286003     EISSN: 18286011     Source Type: Journal    
DOI: None     Document Type: Article

References (28)

1. D. Papadias, et al., Group nearest neighbor queries, in Data Engineering, 2004. Proceedings. 20th International Conference on, 2004, pp. 301-312.
2. D. Papadias, et al., Aggregate nearest neighbor queries in spatial databases, ACM Trans. Database Syst., vol. 30, pp. 529-576, 2005.
3. H. Li, et al., Two ellipse-based pruning methods for group nearest neighbor queries, presented at the Proceedings of the 13th annual ACM international workshop on Geographic information systems, Bremen, Germany, 2005.
4. X. Lian, L. Chen, Probabilistic Group Nearest Neighbor Queries in Uncertain Databases, Knowledge and Data Engineering, IEEE Transactions on, vol. 20, pp. 809-824, 2008.
5. T. Klancnik, B. J. Blazic, Context-Aware Information Broker for Cloud Computing, International Review on Computers and Software, vol. 5, pp. 52-58, 2010.
6. M. Safar, Group K -Nearest Neighbors queries in spatial network databases, Journal of Geographical Systems, vol. 10, pp. 407-416, 2008.
7. N. Ghadiri, et al., GREST - A Type-2 Fuzzy Distance Model for Group Nearest-Neighbor Queries, Submitted, 2010.
8. C.-C. Chen, et al., An Empirical Study of Blog Marketing Based on Trust and Purchase Intention, International Review on Computers and Software, vol. 5, pp. 97-105, 2010.
9. D. Hedjazi, et al., A New Collaborative System for Industrial Tele-Maintenance, International Review on Computers and Software, vol. 3, pp. 523-531, 2008.
10. M. Sharifzadeh, C. Shahabi, Additively Weighted Voronoi Diagrams for Optimal Sequenced Route Queries, presented at the Proceedings of the third Workshop on STDBM 2006, Seoul, Korea, 2006.
11. S. Rovetta, F. Masulli, Vector quantization and fuzzy ranks for image reconstruction, Image and Vision Computing, vol. 25, pp. 204-213, 2007.
12. J. Bezdek, Pattern recognition with fuzzy objective function algorithms: Kluwer Academic Publishers Norwell, MA, USA, 1981.
13. R. Babuka, et al., Improved covariance estimation for Gustafson- Kessel clustering, in Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on, 2002, pp. 1081-1085.
14. J. M. Mendel, Computing with words and its relationships with fuzzistics, Inf. Sci., vol. 177, pp. 988-1006, 2007.
15. J. M. Mendel, et al., Interval Type-2 Fuzzy Logic Systems Made Simple, Fuzzy Systems, IEEE Transactions on, vol. 14, pp. 808-821, 2006.
16. J. M. Mendel, Type-2 Fuzzy Sets and Systems: An Overview [corrected reprint], Computational Intelligence Magazine, IEEE, vol. 2, pp. 20-29, 2007.
17. J. M. Mendel, D. Wu, Perceptual Reasoning: A New Computing with Words Engine, in Granular Computing, 2007. GRC 2007. IEEE International Conference on, 2007, pp. 446-446.
18. J. M. Mendel, Tutorial on the uses of the interval type-2 fuzzy sets Wavy Slice Representation Theorem, in Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American, 2008, pp. 1-6.
19. N. Ghadiri, et al., A Human-Centric Distance Model for Group Nearest-Neighbor Queries, Inf. Sci., vol. To Appear., 2009.
20. D. Wu, J. M. Mendel, Aggregation Using the Linguistic Weighted Average and Interval Type-2 Fuzzy Sets, Fuzzy Systems, IEEE Transactions on, vol. 15, pp. 1145-1161, 2007.
21. J. M. Mendel, On answering the question Where do I start in order to solve a new problem involving interval type-2 fuzzy sets?, Information Sciences, vol. 179, pp. 3418-3431, 2009.
22. W. Pedrycz, et al., Handbook of Granular Computing: Wiley- Interscience, 2008.
23. F. Liu, J. M. Mendel, Encoding Words into Interval Type-2 Fuzzy Sets Using an Interval Approach, Fuzzy Systems, IEEE Transactions on, vol. 15, 2008.
24. B. Balasko, et al., Fuzzy Clustering and Data Analysis Toolbox Manual, 2005.
25. A. M. Bensaid, et al., Validity-guided (re)clustering with applications to image segmentation, Fuzzy Systems, IEEE Transactions on, vol. 4, pp. 112-123, 1996.
26. X. L. Xie, G. Beni, A validity measure for fuzzy clustering, Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 13, pp. 841-847, 1991.
27. D. Wu, J. M. Mendel, A comparative study of ranking methods, similarity measures and uncertainty measures for interval type-2 fuzzy sets, Information Sciences, vol. 179, pp. 1169-1192, 2009.
28. D. E. Gustafson, W. C. Kessel, Fuzzy clustering with a fuzzy covariance matrix, in Decision and Control including the 17th Symposium on Adaptive Processes, 1978 IEEE Conference on, 1978, pp. 761-766.