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Volumn 24, Issue 7, 2012, Pages 1328-1343

Segmentation and sampling of moving object trajectories based on representativeness

Author keywords

data mining; moving object databases; subtrajectory sampling; Trajectory segmentation

Indexed keywords

DESCRIPTORS; LINE SEGMENT; LOCAL DENSITY; MOVING OBJECT DATABASE; MOVING OBJECT TRAJECTORIES; SAMPLING METHOD; SAMPLING TECHNIQUE; SAMPLING-BASED; SEGMENTATION ALGORITHMS; TRAJECTORY SEGMENTATION; TRAJECTORY SIMILARITIES; VOTING ALGORITHM;

EID: 84861740479     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2011.39     Document Type: Article
Times cited : (78)

References (39)
  • 5
    • 77949349871 scopus 로고    scopus 로고
    • Traclass: Trajectory classification using hierarchical region-based and trajectory-based clustering
    • J.-G. Lee, J. Han, X. Li, and H. Gonzalez, "Traclass: Trajectory Classification Using Hierarchical Region-Based and Trajectory-Based Clustering," Proc. VLDB Endowment, vol. 1, pp. 1081-1094, 2008.
    • (2008) Proc. VLDB Endowment , vol.1 , pp. 1081-1094
    • Lee, J.-G.1    Han, J.2    Li, X.3    Gonzalez, H.4
  • 8
    • 37849187329 scopus 로고    scopus 로고
    • Time-focused clustering of trajectories of moving objects
    • DOI 10.1007/s10844-006-9953-7
    • M. Nanni and D. Pedreschi, "Time-Focused Clustering of Trajectories of Moving Objects," J. Intelligent Information Systems, vol. 27, no. 3, pp. 267-289, 2006. (Pubitemid 44825944)
    • (2006) Journal of Intelligent Information Systems , vol.27 , Issue.3 , pp. 267-289
    • Nanni, M.1    Pedreschi, D.2
  • 13
    • 0141613770 scopus 로고    scopus 로고
    • Efficient biased sampling for approximate clustering and outlier detection in large data sets
    • Sept./Oct
    • G. Kollios, D. Gunopulos, N. Koudas, and S. Berchtold, "Efficient Biased Sampling for Approximate Clustering and Outlier Detection in Large Data Sets," IEEE Trans. Knowledge and Data Eng., vol. 15, no. 5, pp. 1170-1187, Sept./Oct. 2003.
    • (2003) IEEE Trans. Knowledge and Data Eng. , vol.15 , Issue.5 , pp. 1170-1187
    • Kollios, G.1    Gunopulos, D.2    Koudas, N.3    Berchtold, S.4
  • 14
    • 31844452527 scopus 로고    scopus 로고
    • Indexed-based density biased sampling for clustering applications
    • DOI 10.1016/j.datak.2005.03.003, PII S0169023X05000406
    • A. Nanopoulos, Y. Theodoridis, and Y. Manolopoulos, "Indexed-Based Density Biased Sampling for Clustering Applications," Data and Knowledge Eng., vol. 57, no. 1, pp. 37-63, 2006. (Pubitemid 43184023)
    • (2006) Data and Knowledge Engineering , vol.57 , Issue.1 , pp. 37-63
    • Nanopoulos, A.1    Theodoridis, Y.2    Manolopoulos, Y.3
  • 19
    • 49249100905 scopus 로고    scopus 로고
    • Visual analytics tools for analysis of movement data
    • G. Andrienko, N. Andrienko, and S. Wrobel, "Visual Analytics Tools for Analysis of Movement Data," SIGKDD Explorations Newsletter, vol. 9, no. 2, pp. 38-46, 2007.
    • (2007) SIGKDD Explorations Newsletter , vol.9 , Issue.2 , pp. 38-46
    • Andrienko, G.1    Andrienko, N.2    Wrobel, S.3
  • 25
    • 84877359020 scopus 로고    scopus 로고
    • Novel approaches to the indexing of moving object trajectories
    • D. Pfoser, C.S. Jensen, and Y. Theodoridis, "Novel Approaches to the Indexing of Moving Object Trajectories," Proc. VLDB Conf., 2000.
    • (2000) Proc. VLDB Conf.
    • Pfoser, D.1    Jensen, C.S.2    Theodoridis, Y.3
  • 26
    • 34248580800 scopus 로고    scopus 로고
    • Algorithms for nearest neighbor search on moving object trajectories
    • DOI 10.1007/s10707-006-0007-7
    • E. Frentzos, K. Gratsias, N. Pelekis, and Y. Theodoridis, "Algorithms for Nearest Neighbor Search on Moving Object Trajectories," GeoInformatica, vol. 11, pp. 159-193, 2007. (Pubitemid 46760059)
    • (2007) GeoInformatica , vol.11 , Issue.2 , pp. 159-193
    • Frentzos, E.1    Gratsias, K.2    Pelekis, N.3    Theodoridis, Y.4
  • 29
    • 56349151737 scopus 로고    scopus 로고
    • Adaptive spherical gaussian kernel in sparse bayesian learning framework for nonlinear regression
    • K. Wang, J. Yuan, L. Bo, and T. Yu, "Adaptive Spherical Gaussian Kernel in Sparse Bayesian Learning Framework for Nonlinear Regression," Expert Systems with Applications, vol. 36, no. 2, pp. 3982-3989, 2009.
    • (2009) Expert Systems with Applications , vol.36 , Issue.2 , pp. 3982-3989
    • Wang, K.1    Yuan, J.2    Bo, L.3    Yu, T.4
  • 31
    • 13144306118 scopus 로고    scopus 로고
    • A speech/music discriminator based on RMS and zero-crossings
    • DOI 10.1109/TMM.2004.840604
    • C. Panagiotakis and G. Tziritas, "A Speech/Music Discriminator Based on RMS and Zero-Crossings," IEEE Trans. Multimedia, vol. 7, no. 1, pp. 155-166, Feb. 2005. (Pubitemid 40178378)
    • (2005) IEEE Transactions on Multimedia , vol.7 , Issue.1 , pp. 155-166
    • Panagiotakis, C.1    Tziritas, G.2
  • 34
    • 33645988196 scopus 로고    scopus 로고
    • From sample similarity to ensemble similarity: Probabilistic distance measures in reproducing kernel hilbert space
    • June
    • S.K. Zhou and R. Chellappa, "From Sample Similarity to Ensemble Similarity: Probabilistic Distance Measures in Reproducing Kernel Hilbert Space," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 28, no. 6, pp. 917-929, June 2006.
    • (2006) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.28 , Issue.6 , pp. 917-929
    • Zhou, S.K.1    Chellappa, R.2
  • 35
    • 0036606530 scopus 로고    scopus 로고
    • A framework for generating network-based moving objects
    • DOI 10.1023/A:1015231126594
    • T. Brinkhoff, "A Framework for Generating Network-Based Moving Objects," GeoInformatica, vol. 6, no. 2, pp. 153-180, 2002. (Pubitemid 34609430)
    • (2002) GeoInformatica , vol.6 , Issue.2 , pp. 153-180
    • Brinkhoff, T.1
  • 36
    • 84861726275 scopus 로고    scopus 로고
    • http://www.rtreeportal.org/index.php?option=com-content= task=view=id=30=Itemid=43, 2012.
    • (2012)
  • 37
    • 84861741638 scopus 로고    scopus 로고
    • www.geopkdd.eu, 2012.
    • , vol.2012


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.