An adaptive approach for online segmentation of multi-dimensional mobile data

MobiDE 2012 - Proceedings of the 11th ACM International Workshop on Data Engineering for Wireless and Mobile Access - In Conjunction with ACM SIGMOD / PODS 2012

Volumn , Issue , 2012, Pages 7-14

  Guo, Tian ^a   Yan, Zhixian ^a   Aberer, Karl ^a  

^a EPFL   (Switzerland)

Author keywords

Adaptive model creation; Feature selection; Mobile data mining; Online segmentation

Indexed keywords

ACCELEROMETER DATA; ADAPTIVE APPROACH; ADAPTIVE MODELS; F-MEASURE; MOBILE DATA; MOBILE DATA MINING; MOBILE SENSING; MOBILE SENSORS; ONLINE TIME; PROPER MODELS; REGRESSION ERRORS; TIME-SERIES SEGMENTATION;

ACCELEROMETERS; CELLULAR TELEPHONE SYSTEMS; FEATURE EXTRACTION; IMAGE SEGMENTATION; SENSORS; SMARTPHONES; TIME SERIES;

THREE DIMENSIONAL;

EID: 84863439038     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2258056.2258059     Document Type: Conference Paper

References (20)

1. A. Anagnostopoulos, M. Vlachos, M. Hadjieleftheriou, E. J. Keogh, and P. S. Yu. Global distance-based segmentation of trajectories. In KDD, pages 34-43, 2006. (Pubitemid 44535501)
2. Y. Borgne, S. Santini, and G. Bontempi. Adaptive Model Selection for Time Series Prediction in Wireless Sensor Networks. Signal Processing, 87(12):3010-3020, 2007. (Pubitemid 47259183)
3. M. Buchin, A. Driemel, M. J. van Kreveld, and V. Sacristan. Segmenting trajectories: A framework and algorithms using spatiotemporal criteria. J. Spatial Information Science, 3(1):33-63, 2011.
4. A. T. Campbell, S. B. Eisenman, N. D. Lane, E. Miluzzo, R. A. Peterson, H. Lu, X. Zheng, M. Musolesi, K. Fodor, and G.-S. Ahn. The rise of people-centric sensing. IEEE Internet Computing, 12:12-21, 2008.
5. E. Fuchs, T. Gruber, J. Nitschke, and B. Sick. Online Segmentation of Time Series Based on Polynomial Least-Squares Approximations. IEEE Trans. Pattern Anal. Mach. Intell., 32(12):2232-2245, 2010.
6. E. Guenterberg, S. Ostadabbas, H. Ghasemzadeh, and R. Jafari. An automatic segmentation technique in body sensor networks based on signal energy. In BodyNets, pages 21:1-21:7. ICST, 2009.
7. J. Himberg, K. Korpiaho, H. Mannila, J. Tikanmäki, and H. Toivonen. Time Series Segmentation for Context Recognition in Mobile Devices. In ICDM, pages 203-210, 2001.
8. E. Keogh, S. Chu, D. Hart, and M. Pazzani. An Online Algorithm for Segmenting Time Series. In ICDM, pages 289-296, 2001.
9. E. Keogh, S. Chu, D. Hart, and M. Pazzani. Segmenting Time Series: A Survey and Novel Approach. In Data mining in Time Series Databases, pages 1-22. Publishing Company, 2004.
10. D. Lemire. A Better Alternative to Piecewise Linear Time Series Segmentation. In SDM, pages 545-550, 2007.
11. A. Li, S. He, and Q. Zheng. Real-Time Segmenting Time Series Data. In APWeb, pages 178-186, 2003.
12. X. Liu, Z. Lin, and H. Wang. Novel Online Methods for Time Series Segmentation. IEEE TKDE, 20(12):1616-1626, 2008.
13. R. Mann, A. D. Jepson, and T. F. El-Maraghi. Trajectory Segmentation Using Dynamic Programming. In ICPR (1), pages 331-334, 2002. (Pubitemid 44845007)
14. L. Oudre, A. Lung-Yut-Fong, and P. Bianchi. Segmentation of Accelerometer Signals Recorded During Continuous Treadmill Walking. In EUSIPCO, Barcelona, Spain, 2011.
15. C. Panagiotakis, N. Pelekis, I. Kopanakis, E. Ramasso, and Y. Theodoridis. Segmentation and Sampling of Moving Object Trajectories based on Representativeness. IEEE TKDE, PP(99):1, 2011.
16. Z. Yan, D. Chakraborty, A. Misra, H. Jeung, and K. Aberer. SAMMPLE: Detecting Semantic Indoor Activities in Practical Settings using Locomotive Signatures. In ISWC, 2012.
17. Z. Yan, D. Chakraborty, C. Parent, S. Spaccapietra, and K. Aberer. SeMiTri: A Framework for Semantic Annotation of Heterogeneous Trajectories. In EDBT, 2011.
18. Z. Yan, N. Giatrakos, V. Katsikaros, N. Pelekis, and Y. Theodoridis. Setrastream: Semantic-aware trajectory construction over streaming movement data. In SSTD, pages 367-385, 2011.
19. Z. Yan, C. Parent, S. Spaccapietra, and D. Chakraborty. A Hybrid Model and Computing Platform for Spatio-Semantic Trajectories. In ESWC, pages 60-75, 2010.
20. Y. Zheng, L. Zhang, X. Xie, and W.-Y. Ma. Mining Interesting Locations and Travel Sequences from GPS Trajectories. In WWW, pages 791-800, 2009.