메뉴 건너뛰기




Volumn 47, Issue 1, 2016, Pages 189-214

A framework for anomaly detection in maritime trajectory behavior

Author keywords

Anomaly detection; Maritime trajectory; Trajectory data mining

Indexed keywords

DATA ACQUISITION; DATA MINING; FEATURE EXTRACTION; LOCATION; TRAJECTORIES;

EID: 84959536004     PISSN: 02191377     EISSN: 02193116     Source Type: Journal    
DOI: 10.1007/s10115-015-0845-4     Document Type: Article
Times cited : (126)

References (36)
  • 1
    • 0034832620 scopus 로고    scopus 로고
    • Outlier detection for high dimensional data. In: Proceedings of the SIGMOD
    • Aggarwal C, Yu P (2001) Outlier detection for high dimensional data. In: Proceedings of the SIGMOD, pp 37–46
    • (2001) pp 37–46
    • Aggarwal, C.1    Yu, P.2
  • 2
    • 67149118905 scopus 로고    scopus 로고
    • Dolphin: an efficient algorithm for mining distance-based outliers in very large datasets
    • Angiulli F, Fassetti F (2009) Dolphin: an efficient algorithm for mining distance-based outliers in very large datasets. Knowl Discov Data 3(1):4
    • (2009) Knowl Discov Data , vol.3 , Issue.1 , pp. 4
    • Angiulli, F.1    Fassetti, F.2
  • 3
    • 84881506676 scopus 로고
    • Outliers in statistical data
    • Bremer R (1995) Outliers in statistical data. Technometrics 37(1):117–118
    • (1995) Technometrics , vol.37 , Issue.1 , pp. 117-118
    • Bremer, R.1
  • 4
    • 0039253819 scopus 로고    scopus 로고
    • Lof: identifying density-based local outliers. In: Proceedings of the SIGMOD, pp
    • Breunig M, Kriegel HP, Ng, RT, Sander J (2000) Lof: identifying density-based local outliers. In: Proceedings of the SIGMOD, pp. 93–104
    • (2000) 93–104
    • Breunig, M.1    Kriegel, H.P.2    Ng, R.T.3    Sander, J.4
  • 5
    • 70350671491 scopus 로고    scopus 로고
    • Efficient anomaly monitoring over moving object trajectory streams. In: Proceedings of the KDD, ACM, pp
    • Bu Y, Chen L, Fu AWC, Liu D (2009) Efficient anomaly monitoring over moving object trajectory streams. In: Proceedings of the KDD, ACM, pp. 159–168
    • (2009) 159–168
    • Bu, Y.1    Chen, L.2    Fu, A.W.C.3    Liu, D.4
  • 6
    • 26944461753 scopus 로고    scopus 로고
    • Finding clusters of different sizes, shapes, and densities in noisy, high dimensional data. In: Proceedings of the SDM, pp
    • Ertoz L, Steinbach M, Kumar V (2003) Finding clusters of different sizes, shapes, and densities in noisy, high dimensional data. In: Proceedings of the SDM, pp. 47–58
    • (2003) 47–58
    • Ertoz, L.1    Steinbach, M.2    Kumar, V.3
  • 7
    • 33745476229 scopus 로고    scopus 로고
    • Efficient mining of temporally annotated sequences. In: Proceedings of the SDM, pp
    • Giannotti F, Nanni M, Pedreschi D (2006) Efficient mining of temporally annotated sequences. In: Proceedings of the SDM, pp. 346–357
    • (2006) 346–357
    • Giannotti, F.1    Nanni, M.2    Pedreschi, D.3
  • 9
    • 62449151158 scopus 로고    scopus 로고
    • Mining temporal patterns with quantitative intervals. In: ICDM workshops, IEEE computer society, pp
    • Guyet T, Quiniou R (2008) Mining temporal patterns with quantitative intervals. In: ICDM workshops, IEEE computer society, pp. 218–227
    • (2008) 218–227
    • Guyet, T.1    Quiniou, R.2
  • 10
    • 52649158650 scopus 로고    scopus 로고
    • A hybrid prediction model for moving objects. In: Proceedings of the ICDE, pp
    • Jeung H, Liu Q, Shen HT, Zhou X (2008) A hybrid prediction model for moving objects. In: Proceedings of the ICDE, pp. 70–79
    • (2008) 70–79
    • Jeung, H.1    Liu, Q.2    Shen, H.T.3    Zhou, X.4
  • 11
    • 38049013788 scopus 로고    scopus 로고
    • Mining trajectory patterns using hidden Markov models. In: Proceedings of the DaWaK, pp
    • Jeung H, Shen HT, Zhou X (2007) Mining trajectory patterns using hidden Markov models. In: Proceedings of the DaWaK, pp. 470–480
    • (2007) 470–480
    • Jeung, H.1    Shen, H.T.2    Zhou, X.3
  • 12
    • 84959505632 scopus 로고    scopus 로고
    • Real time contextual collective anomaly detection over multiple data streams. In: Proceedings of the ODD, pp
    • Jiang Y, Zeng C, Xu J, Li T (2014) Real time contextual collective anomaly detection over multiple data streams. In: Proceedings of the ODD, pp. 23–30
    • (2014) 23–30
    • Jiang, Y.1    Zeng, C.2    Xu, J.3    Li, T.4
  • 13
    • 0034133513 scopus 로고    scopus 로고
    • Distance-based outliers: algorithms and applications
    • Knorr E, Ng R, Tucakov V (2000) Distance-based outliers: algorithms and applications. VLDB J 8(3):237–253
    • (2000) VLDB J , vol.8 , Issue.3 , pp. 237-253
    • Knorr, E.1    Ng, R.2    Tucakov, V.3
  • 14
    • 56749092990 scopus 로고    scopus 로고
    • Anomaly detection for sea surveillance. In: Proceedings of the IF, pp
    • Laxhammar R (2008) Anomaly detection for sea surveillance. In: Proceedings of the IF, pp. 1–8
    • (2008) 1–8
    • Laxhammar, R.1
  • 15
    • 52649161757 scopus 로고    scopus 로고
    • Trajectory outlier detection: partition-and-detect a framework. In: Proceedings of the ICDE, pp
    • Lee J, Han J, Li X (2008) Trajectory outlier detection: partition-and-detect a framework. In: Proceedings of the ICDE, pp. 140–149
    • (2008) 140–149
    • Lee, J.1    Han, J.2    Li, X.3
  • 16
    • 35449007737 scopus 로고    scopus 로고
    • Trajectory clustering: a partition-and-group framework. In: Proceedings of the SIGMOD, pp
    • Lee JG, Han J, Whang KY (2007) Trajectory clustering: a partition-and-group framework. In: Proceedings of the SIGMOD, pp. 593–604
    • (2007) 593–604
    • Lee, J.G.1    Han, J.2    Whang, K.Y.3
  • 17
    • 82055172407 scopus 로고    scopus 로고
    • Exploring spatial-temporal trajectory model for location prediction. In: Proceedings of the MDM, pp
    • Lei PR, Shen TJ, Peng WC, Su IJ (2011) Exploring spatial-temporal trajectory model for location prediction. In: Proceedings of the MDM, pp. 58–67
    • (2011) 58–67
    • Lei, P.R.1    Shen, T.J.2    Peng, W.C.3    Su, I.J.4
  • 18
    • 80052749496 scopus 로고    scopus 로고
    • Swarm: mining relaxed temporal moving object clusters. In: Proceedings of the VLDB Endow, pp
    • Li Z, Ding B, Han J, Kays R (2010) Swarm: mining relaxed temporal moving object clusters. In: Proceedings of the VLDB Endow, pp. 723–734
    • (2010) 723–734
    • Li, Z.1    Ding, B.2    Han, J.3    Kays, R.4
  • 19
    • 84872798445 scopus 로고    scopus 로고
    • Personalized trip recommendation with multiple constraints by mining user check-in behaviors. In: Proceedings of the GIS, pp
    • Lu EHC, Chen CY, Tseng VS (2012) Personalized trip recommendation with multiple constraints by mining user check-in behaviors. In: Proceedings of the GIS, pp. 209–218
    • (2012) 209–218
    • Lu, E.H.C.1    Chen, C.Y.2    Tseng, V.S.3
  • 20
    • 70350649119 scopus 로고    scopus 로고
    • Wherenext: A location predictor on trajectory pattern mining. In: Proceedings of the KDD, pp
    • Monreale A., Pinelli F, Trasarti R, Giannotti F (2009) Wherenext: A location predictor on trajectory pattern mining. In: Proceedings of the KDD, pp. 637–646
    • (2009) 637–646
    • Monreale, A.1    Pinelli, F.2    Trasarti, R.3    Giannotti, F.4
  • 21
    • 37249082461 scopus 로고    scopus 로고
    • Mining frequent trajectories of moving objects for location prediction. In: Proceedings of the MLDM, pp
    • Morzy M (2007) Mining frequent trajectories of moving objects for location prediction. In: Proceedings of the MLDM, pp. 667–680
    • (2007) 667–680
    • Morzy, M.1
  • 22
    • 0345359208 scopus 로고    scopus 로고
    • Loci: Fast outlier detection using the local correlation integral. In: Proceedings of the ICDE, pp
    • Papadimitriou S, Kitagawa H, Gibbons P, Faloutsos C (2003) Loci: Fast outlier detection using the local correlation integral. In: Proceedings of the ICDE, pp. 315–326
    • (2003) 315–326
    • Papadimitriou, S.1    Kitagawa, H.2    Gibbons, P.3    Faloutsos, C.4
  • 23
    • 0039845384 scopus 로고    scopus 로고
    • Efficient algorithms for mining outliers from large data sets. In: Proceedings of the SIGMOD, pp
    • Ramaswamy S, Rastogi R, Shim K (2000) Efficient algorithms for mining outliers from large data sets. In: Proceedings of the SIGMOD, pp. 427–438
    • (2000) 427–438
    • Ramaswamy, S.1    Rastogi, R.2    Shim, K.3
  • 24
    • 56749146169 scopus 로고    scopus 로고
    • Statistical analysis of motion patterns in ais data: Anomaly detection and motion prediction. In: Proceedings of the IF, pp
    • Ristic B, La Scala B, Morelande M, Gordon N (2008) Statistical analysis of motion patterns in ais data: Anomaly detection and motion prediction. In: Proceedings of the IF, pp. 1–7
    • (2008) 1–7
    • Ristic, B.1    La Scala, B.2    Morelande, M.3    Gordon, N.4
  • 25
    • 0030282113 scopus 로고    scopus 로고
    • The power of amnesia: learning probabilistic automata with variable memory length
    • Ron D, Singer Y, Tishby N (1996) The power of amnesia: learning probabilistic automata with variable memory length. Machine learn 25(2):117–149
    • (1996) Machine learn , vol.25 , Issue.2 , pp. 117-149
    • Ron, D.1    Singer, Y.2    Tishby, N.3
  • 26
    • 84885842891 scopus 로고    scopus 로고
    • Efficient algorithms for discovering high utility user behavior patterns in mobile commerce environments
    • Shie BE, Hsiao HF, Tseng V (2013) Efficient algorithms for discovering high utility user behavior patterns in mobile commerce environments. Knowl Inf Syst 37(2):363–387
    • (2013) Knowl Inf Syst , vol.37 , Issue.2 , pp. 363-387
    • Shie, B.E.1    Hsiao, H.F.2    Tseng, V.3
  • 27
    • 33745447341 scopus 로고    scopus 로고
    • Mining for outliers in sequential databases. In: Proceedings of the SDM, pp
    • Sun P, Chawla S, Arunasalam B (2006) Mining for outliers in sequential databases. In: Proceedings of the SDM, pp. 94–106
    • (2006) 94–106
    • Sun, P.1    Chawla, S.2    Arunasalam, B.3
  • 28
    • 38049177418 scopus 로고    scopus 로고
    • Exploring group moving pattern for an energy-constrained object tracking sensor network. In: Proceedings of the PAKDD, pp
    • Tsai H, Yang D, Peng W, Chen M (2007) Exploring group moving pattern for an energy-constrained object tracking sensor network. In: Proceedings of the PAKDD, pp. 825–832
    • (2007) 825–832
    • Tsai, H.1    Yang, D.2    Peng, W.3    Chen, M.4
  • 29
  • 30
    • 84959505607 scopus 로고    scopus 로고
    • Maritime trajectory mining for anomaly detection
    • In, Proceedings of the PRMS
    • Vespe M, Pallottaand G, Visentini I, Bryan K, Braca P (2012) Maritime trajectory mining for anomaly detection. In: Proceedings of the PRMS
    • (2012)
    • Vespe, M.1    Pallottaand, G.2    Visentini, I.3    Bryan, K.4    Braca, P.5
  • 31
    • 84880194316 scopus 로고    scopus 로고
    • Exploring pattern-aware travel routes for trajectory search
    • Wei LY, Peng WC, Lee WC (2013) Exploring pattern-aware travel routes for trajectory search. ACM Trans. Intell. Syst. Technol 4(3):48:1–48:25
    • (2013) ACM Trans. Intell. Syst. Technol , vol.4 , Issue.3 , pp. 1-25
    • Wei, L.Y.1    Peng, W.C.2    Lee, W.C.3
  • 32
    • 84866017857 scopus 로고    scopus 로고
    • Constructing popular routes from uncertain trajectories. In: Proceedings of the KDD, pp
    • Wei LY, Zheng Y, Peng WC (2012) Constructing popular routes from uncertain trajectories. In: Proceedings of the KDD, pp. 195–203
    • (2012) 195–203
    • Wei, L.Y.1    Zheng, Y.2    Peng, W.C.3
  • 33
    • 84881344873 scopus 로고    scopus 로고
    • Destination prediction by sub-trajectory synthesis and privacy protection against such prediction
    • In, Proceedings of the ICDM
    • Xue AY, Zhang R, Zheng Y, Xie X, Huang J, Xu Z (2013) Destination prediction by sub-trajectory synthesis and privacy protection against such prediction. In: Proceedings of the ICDM
    • (2013)
    • Xue, A.Y.1    Zhang, R.2    Zheng, Y.3    Xie, X.4    Huang, J.5    Xu, Z.6
  • 34
    • 84866045445 scopus 로고    scopus 로고
    • Discovering regions of different functions in a city using human mobility and pois. In: Proceedings. of the KDD, pp
    • Yuan J, Zheng Y, Xie X (2012) Discovering regions of different functions in a city using human mobility and pois. In: Proceedings. of the KDD, pp. 186–194
    • (2012) 186–194
    • Yuan, J.1    Zheng, Y.2    Xie, X.3
  • 35
    • 80052688627 scopus 로고    scopus 로고
    • Driving with knowledge from the physical world. In: Proceedings of the KDD, pp
    • Yuan J, Zheng Y, Xie X, Sun G (2011) Driving with knowledge from the physical world. In: Proceedings of the KDD, pp. 316–324
    • (2011) 316–324
    • Yuan, J.1    Zheng, Y.2    Xie, X.3    Sun, G.4
  • 36
    • 80054058907 scopus 로고    scopus 로고
    • Ibat: detecting anomalous taxi trajectories from gps traces. In: Proceedings of the Ubicom, pp
    • Zhang D, Li N, Zhou Z, Chen C, Sun L, Li S (2011) Ibat: detecting anomalous taxi trajectories from gps traces. In: Proceedings of the Ubicom, pp. 99–108
    • (2011) 99–108
    • Zhang, D.1    Li, N.2    Zhou, Z.3    Chen, C.4    Sun, L.5    Li, S.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.