DEMS: A data mining based technique to handle missing data in mobile sensor network applications

ACM International Conference Proceeding Series

Volumn , Issue , 2010, Pages 26-32

  Gruenwald, Le ^a   Sadik, Md Shiblee ^a   Shukla, Rahul ^a   Yang, Hanqing ^a  

^a University of Oklahoma   (United States)

Author keywords

missing data; Mobile Sensor Networks; sensors

Indexed keywords

EID: 78149323425     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1858158.1858167     Document Type: Conference Paper

References (23)

1. H. Chok and L. Gruenwald. An online spatio-temporal association rule mining framework for analyzing and estimating sensor data. In IDEAS, 2009.
2. T. Clouqueur, V. Phipatanasuphorn, P. Ramanathan, and K. Saluja. Sensor deployment strategy for target detection. In 1st ACM international workshop on Wireless sensor networks and applications, 2002.
3. W. Day and H. Edelsbrunner. Efficient algorithms for agglomerative hierarchical clustering methods.
4. C. Giannella, J. Han, J. Pei, X. Yan, and P. Yu. Mining frequent patterns in data streams at multiple time granularities. Next Generation Data Mining, Eds. H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha, 2003.
5. L. Gruenwald, H. Chook, and M. Aboukhamis. Using data mining to estimate missing sensor data. In ICDMW, 2007.
6. L. Gruenwald, H. Yang, S. Sadik, and R. Shukla. Using data mining to handle missing data in multi-hop sensor network applications. In MobiDE, 2010.
7. S. Guha, N. Koudas, and K. Shim. Data streams and histrograms. In ACM Symposium on Theory of Computing, 2001.
8. T. Haenselmann. An FDL'ed Textbook on Sensor Networks. GNU Free Documentation License, 2005.
9. N. Jiang and L. Gruenwald. Research issues in data stream association rule mining. ACM Sigmod Record, 2006.
10. B. Liu, P. Brass, O. Dousse, P. Nain, and D. Towsley. Mobility improves coverage of sensor networks. In MobiHoc, 2005.
11. S. Madden, M. Franklin, J. Hellerstein, and W. Hong. Tinydb: An acquisitional query processing system for sensor networks. Transactions on Database Systems, 2005.
12. A. Mainwaring, D. Culler, J. Polastre, R. Szewczyk, and J. Anderson. Wireless sensor networks for habitat monitoring. In 1st ACM international workshop on Wireless sensor networks and applications, 2002.
13. S. Meguerdichian, F. Koushanfar, M. Potkonjak, and M.B.Srivastava. Coverage problems in wireless ad-hoc sensor networks. In InfoCom, 2001.
14. M. Morzy. Mining frequent trajectories of moving objects for location prediction.
15. N. Oceanic and A. Administration. Advisory Comittee on Commercial Remote Sensing. http;//metar.noaa.gov, Last access 2010.
16. S. Papadimitriou, J. Sun, and C. Faloutsos. Streaming pattern discovery in multiple time-series. In VLDB, 2005.
17. D. project. UCL Carbon Monoxide Data Collection at DAPPLE Site. http://www.cs.ucl.ac.uk /research /vr/Projects /envesci /DAPPLE2004/UCLDAPPLE. html, Last access 2010.
18. L. Schwiebert, S.Gupta, and J.Weinmann. Research challenges in wireless networks of biomedical sensor. In MobiCom, 2001.
19. G. Sibley, M. Rahimi, and G. Sukhatme. Robomote - a tiny mobile robot platform for large-scale sensor networks. In ICRA, 2002.
20. A. Silberstein, K. Munagala, and J. Yang. Energy-efficient monitoring of extreme values in sensor networks. ACM Sigmod Record, 2006.
21. N. Vijayakumar and B. Plale. Missing event prediction in sensor data streams using kalman filters. Knowledge Discovery from Sensor Data, Eds. Taylor and Francis, 2009.
22. G. Wang, G. Cao, T. parta, , and W. Zhang. Sensor relocation in mobile sensor networks. In InfoCom, 2005.
23. W.Tobler. A Computer Movie Simulating Urban Growth in the Detroit Region. Economic Geography, 1970.