메뉴 건너뛰기




Volumn 7808 LNCS, Issue , 2013, Pages 815-826

A survey on clustering techniques for situation awareness

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING APPROACH; CLUSTERING TECHNIQUES; CONTROL CENTER; DATA-DRIVEN APPROACH; INFORMATION OVERLOADS; REAL-WORLD OBJECTS; SITUATION ASSESSMENT; SITUATION AWARENESS;

EID: 84875829802     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37401-2_78     Document Type: Conference Paper
Times cited : (12)

References (37)
  • 1
    • 85012236181 scopus 로고    scopus 로고
    • A framework for clustering evolving data streams
    • VLDB Endowment
    • Aggarwal, C.C., et al.: A framework for clustering evolving data streams. In: Proc. of 29th Int. Conf. on Very Large Data Bases, pp. 81-92. VLDB Endowment (2003)
    • (2003) Proc. of 29th Int. Conf. on Very Large Data Bases , pp. 81-92
    • Aggarwal, C.C.1
  • 2
    • 84857117179 scopus 로고    scopus 로고
    • Interactive cluster analysis of diverse types of spatio-temporal data
    • Andrienko, G., Andrienko, N.: Interactive cluster analysis of diverse types of spatio-temporal data. ACM SIGKDD Explorations Newsletter 11(2), 19-28 (2009)
    • (2009) ACM SIGKDD Explorations Newsletter , vol.11 , Issue.2 , pp. 19-28
    • Andrienko, G.1    Andrienko, N.2
  • 3
    • 77957750367 scopus 로고    scopus 로고
    • Beaware! - Situation awareness, the ontology-driven way
    • Baumgartner, N., et al.: Beaware! - situation awareness, the ontology-driven way. Int. Journal of Data and Knowledge Engineering 69(11), 1181-1193 (2010)
    • (2010) Int. Journal of Data and Knowledge Engineering , vol.69 , Issue.11 , pp. 1181-1193
    • Baumgartner, N.1
  • 4
    • 33846024749 scopus 로고    scopus 로고
    • St-dbscan: An algorithm for clustering spatial and temporal data
    • Birant, D., Kut, A.: St-dbscan: An algorithm for clustering spatial and temporal data. Data & Knowledge Engineering 60(1), 208-221 (2007)
    • (2007) Data & Knowledge Engineering , vol.60 , Issue.1 , pp. 208-221
    • Birant, D.1    Kut, A.2
  • 5
    • 38049144600 scopus 로고    scopus 로고
    • Clustering moving objects in spatial networks
    • Kotagiri, R., Radha Krishna, P., Mohania, M., Nantajeewarawat, E. (eds.) DASFAA 2007. Springer, Heidelberg
    • Chen, J., Lai, C., Meng, X., Xu, J., Hu, H.: Clustering moving objects in spatial networks. In: Kotagiri, R., Radha Krishna, P., Mohania, M., Nantajeewarawat, E. (eds.) DASFAA 2007. LNCS, vol. 4443, pp. 611-623. Springer, Heidelberg (2007)
    • (2007) LNCS , vol.4443 , pp. 611-623
    • Chen, J.1    Lai, C.2    Meng, X.3    Xu, J.4    Hu, H.5
  • 6
    • 0000550189 scopus 로고    scopus 로고
    • A density-based algorithm for discovering clusters in large spatial databases with noise
    • AAAI Press
    • Ester, M., et al.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proc. of 2nd Int. Conf. on Knowledge Discovery and Data Mining (KDD), pp. 226-231. AAAI Press (1996)
    • (1996) Proc. of 2nd Int. Conf. on Knowledge Discovery and Data Mining (KDD) , pp. 226-231
    • Ester, M.1
  • 7
    • 33745434639 scopus 로고    scopus 로고
    • Density-based clustering over an evolving data stream with noise
    • Cao, F., et al.: Density-based clustering over an evolving data stream with noise. In: SIAM Conf. on Data Mining, pp. 328-339 (2006)
    • (2006) SIAM Conf. on Data Mining , pp. 328-339
    • Cao, F.1
  • 8
    • 24344498330 scopus 로고    scopus 로고
    • Mining data streams: A review
    • Gaber, M.M., et al.: Mining data streams: a review. ACM SIGMOD Record 34(2), 18-26 (2005)
    • (2005) ACM SIGMOD Record , vol.34 , Issue.2 , pp. 18-26
    • Gaber, M.M.1
  • 10
    • 82455210974 scopus 로고    scopus 로고
    • Trajectory clustering and an application to airspace monitoring
    • Gariel, M., et al.: Trajectory clustering and an application to airspace monitoring. Trans. Intell. Transport. Sys. 12(4), 1511-1524 (2011)
    • (2011) Trans. Intell. Transport. Sys. , vol.12 , Issue.4 , pp. 1511-1524
    • Gariel, M.1
  • 11
    • 0010415411 scopus 로고    scopus 로고
    • Spatial clustering methods in data mining: A survey
    • Han, J., et al.: Spatial clustering methods in data mining: A survey. In: Geographic Data Mining and Knowledge Discovery, pp. 1-29 (2011)
    • (2011) Geographic Data Mining and Knowledge Discovery , pp. 1-29
    • Han, J.1
  • 15
    • 84893405732 scopus 로고    scopus 로고
    • Data clustering: A review
    • Jain, A.K., et al.: Data clustering: a review. ACM Computing Surveys 31(3), 264-323 (1999)
    • (1999) ACM Computing Surveys , vol.31 , Issue.3 , pp. 264-323
    • Jain, A.K.1
  • 17
    • 84859203289 scopus 로고    scopus 로고
    • Discovery of convoys in trajectory databases
    • Jeung, H., et al.: Discovery of convoys in trajectory databases. Proc. VLDB Endow. 1(1), 1068-1080 (2008)
    • (2008) Proc. VLDB Endow. , vol.1 , Issue.1 , pp. 1068-1080
    • Jeung, H.1
  • 18
    • 26444541854 scopus 로고    scopus 로고
    • On discovering moving clusters in spatio-temporal data
    • Advances in Spatial and Temporal Databases: 9th International Symposium, SSTD 2005. Proceedings
    • Kalnis, P., Mamoulis, N., Bakiras, S.: On discovering moving clusters in spatiotemporal data. In: Medeiros, C.B., Egenhofer, M., Bertino, E. (eds.) SSTD 2005. LNCS, vol. 3633, pp. 364-381. Springer, Heidelberg (2005) (Pubitemid 41433175)
    • (2005) Lecture Notes in Computer Science , vol.3633 , pp. 364-381
    • Kalnis, P.1    Mamoulis, N.2    Bakiras, S.3
  • 22
    • 80053927938 scopus 로고    scopus 로고
    • The clustree: Indexing micro-clusters for anytime stream mining
    • Kranen, P., et al.: The clustree: Indexing micro-clusters for anytime stream mining. Knowledge and Information Systems Journal 29(2), 249-272 (2011)
    • (2011) Knowledge and Information Systems Journal , vol.29 , Issue.2 , pp. 249-272
    • Kranen, P.1
  • 24
    • 78650450572 scopus 로고    scopus 로고
    • Incremental clustering for trajectories
    • Kitagawa, H., Ishikawa, Y., Li, Q.,Watanabe, C. (eds.) DASFAA 2010. Springer, Heidelberg
    • Li, Z., Lee, J.-G., Li, X., Han, J.: Incremental clustering for trajectories. In: Kitagawa, H., Ishikawa, Y., Li, Q.,Watanabe, C. (eds.) DASFAA 2010. LNCS, vol. 5982, pp. 32-46. Springer, Heidelberg (2010)
    • (2010) LNCS , vol.5982 , pp. 32-46
    • Li, Z.1    Lee, J.-G.2    Li, X.3    Han, J.4
  • 25
    • 79955103231 scopus 로고    scopus 로고
    • A framework of mining semantic regions from trajectories
    • Yu, J.X., Kim, M.H., Unland, R. (eds.) DASFAA 2011, Part I. Springer, Heidelberg
    • Lu, C.-T., Lei, P.-R., Peng, W.-C., Su, I.-J.: A framework of mining semantic regions from trajectories. In: Yu, J.X., Kim, M.H., Unland, R. (eds.) DASFAA 2011, Part I. LNCS, vol. 6587, pp. 193-207. Springer, Heidelberg (2011)
    • (2011) LNCS , vol.6587 , pp. 193-207
    • Lu, C.-T.1    Lei, P.-R.2    Peng, W.-C.3    Su, I.-J.4
  • 27
    • 37849187329 scopus 로고    scopus 로고
    • Time-focused clustering of trajectories of moving objects
    • Nanni, M., Pedreschi, D.: Time-focused clustering of trajectories of moving objects. Journal of Intelligent Information Systems 27(3), 267-289 (2006)
    • (2006) Journal of Intelligent Information Systems , vol.27 , Issue.3 , pp. 267-289
    • Nanni, M.1    Pedreschi, D.2
  • 29
    • 84867650091 scopus 로고    scopus 로고
    • A survey of spatial, temporal and spatio-temporal data mining
    • Geetha, R., et al.: A survey of spatial, temporal and spatio-temporal data mining. Journal of Computer Applications 1(4), 31-33 (2008)
    • (2008) Journal of Computer Applications , vol.1 , Issue.4 , pp. 31-33
    • Geetha, R.1
  • 31
    • 84866024990 scopus 로고    scopus 로고
    • Detecting and tracking coordinated groups in dense, systematically moving, crowds
    • SIAM/Omnipress
    • Rosswog, J., Ghose, K.: Detecting and tracking coordinated groups in dense, systematically moving, crowds. In: Proc. of the 12th SIAM Int. Conf. on Data Mining, pp. 1-11. SIAM/Omnipress (2012)
    • (2012) Proc. of the 12th SIAM Int. Conf. on Data Mining , pp. 1-11
    • Rosswog, J.1    Ghose, K.2
  • 32
    • 38049160398 scopus 로고    scopus 로고
    • Incremental clustering in geography and optimization spaces
    • Zhou, Z.-H., Li, H., Yang, Q. (eds.) PAKDD 2007. Springer, Heidelberg
    • Tai, C.-H., Dai, B.-R., Chen, M.-S.: Incremental clustering in geography and optimization spaces. In: Zhou, Z.-H., Li, H., Yang, Q. (eds.) PAKDD 2007. LNCS (LNAI), vol. 4426, pp. 272-283. Springer, Heidelberg (2007)
    • (2007) LNCS (LNAI) , vol.4426 , pp. 272-283
    • Tai, C.-H.1    Dai, B.-R.2    Chen, M.-S.3
  • 33
    • 33749420928 scopus 로고    scopus 로고
    • Mining spatial-temporal clusters from geo-databases
    • Li, X., Zaïane, O.R., Li, Z. (eds.) ADMA 2006. Springer, Heidelberg
    • Wang, M., Wang, A., Li, A.: Mining spatial-temporal clusters from geo-databases. In: Li, X., Zaïane, O.R., Li, Z. (eds.) ADMA 2006. LNCS (LNAI), vol. 4093, pp. 263-270. Springer, Heidelberg (2006)
    • (2006) LNCS (LNAI) , vol.4093 , pp. 263-270
    • Wang, M.1    Wang, A.2    Li, A.3
  • 34
    • 24044470614 scopus 로고    scopus 로고
    • Clustering of time series data - A survey
    • Warren Liao, T.: Clustering of time series data-a survey. Pattern Recogn. 38(11), 1857-1874 (2005)
    • (2005) Pattern Recogn. , vol.38 , Issue.11 , pp. 1857-1874
    • Warren Liao, T.1
  • 35
    • 80155180671 scopus 로고    scopus 로고
    • A survey on uml-based aspect-oriented design modeling
    • Wimmer, M., et al.: A survey on uml-based aspect-oriented design modeling. ACM Computing Surveys 43(4), 28:1-28:33 (2011)
    • (2011) ACM Computing Surveys , vol.43 , Issue.4
    • Wimmer, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.