Solving multi-sensor problem with a new approach

1st International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2008

Volumn , Issue , 2008, Pages 348-353

  Song, Chi Hwa ^a   Wu, Jun ^a   Seo, Dong Hun ^a   Won, Don Lee ^a  

^a Chungnam National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIERS; LEARNING SYSTEMS; SENSORS;

CLASSIFICATION MODELS; COMPUTATIONAL ELEMENTS; HIGH QUALITIES; LEARNING QUALITIES; MARK WEISER; NEW APPROACHES; PHYSICAL WORLDS; SMART ENVIRONMENTS; TECHNOLOGICAL CONCEPTS;

SENSOR NETWORKS;

EID: 57949095177     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICADIWT.2008.4664371     Document Type: Conference Paper

References (14)

1. J. R. Quinlan, "C4.5:Program for Machine Learning," San Mateo, Calif, Morgan Kaufmann, 1993
2. Dong-Hui Kim, Dong-Hyeok Lee and Won Don Lee, "Classifier using Extended Data Expression", IEEE Mountain Workshop on Adaptive and Learning Systems, pp. 154-159, July. 2006
3. J.W.Friedman, "A recursive partitioning decision rule for non-parametric classification" IEEE Transaction on Computer Science, 977, pp,404-408
4. J.W.Grzymala-Busse, "Rough set strategies to data with incomplete attribute values" in Proceedings of the Workshop on Foundations and New Directions in Data Mining ,associated with the third IEEE International Conference on Data Mining, November 19-22,2003,pp.56-63
5. R.J.Hathaway and J.C.Bezdek, "Fuzzy c-means clustering of incomplete data," IEEE Transaction on systems, Man, and Cybernetics-part B: Cybernetics, Vol.31, No.5,2001.
6. M.kryszkiewicz, "Rough set approach to incomplete information systems," Information Science, Vol.112,1998, pp.39-49
7. J.R.Quinlan, "Unknown attribute values in induction", in Proceedings of the Sixth International Workshop on Machine Learning,1989,pp.164- 168.
8. A.P.Dempster, N.M.Laird, D.B.Rubin, "Maximum-likelihood from incomplete data via the EM algorithm," Journal of the Royal Statistical Society, Vol.B39,1977, pp.1-38.
9. J.W.Grzymala-Busse, "On the unknown attribute values in learning from examples," in Proceedings of the ISMIS-91, 6th International Symposium on Methodologies for Intelligent Systems, Lecture Notes in Artificial Intelligentce, Vol.542,Springer-Verlag, Berlin Herdelberg New York,1991,pp.368-377.
10. J.Han and M.Kamber, Data mining: Concept and Techniques, Morgan Kaufmann publishers,2001
11. T.-P.Hong, L.-H. Tseng and B.-C. Chien, "Learning fuzzy rules from incomplete numerical data by routh sets" in Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, pp.1438-1443.
12. I.Koninenko, I.Bratko and E.Roskar, "Experiments in automatic learning of medical diagnostic rules" Technical Report, Jozef Stenfan Institute, Ljubljana,1984
13. UCI data summary http://www.ics.uci.edu/~mlearn/MLSummary.html
14. Jun Wu, Chi-Hwa Song, Jung Min Kong, Won Don Lee, "Extended Mean Field Annealing for Clustering Incomplete Data", 2007 International Symposium on, Information Technology Convergence, Jeonju, Korea, 23-24, Nov. pp 8-12.