메뉴 건너뛰기




Volumn , Issue , 2010, Pages 406-417

Querying trajectories using flexible patterns

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; GEOGRAPHIC INFORMATION SYSTEMS; QUERY PROCESSING;

EID: 77952282874     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1739041.1739091     Document Type: Conference Paper
Times cited : (39)

References (23)
  • 1
    • 85193219958 scopus 로고    scopus 로고
    • http://www.rtreeportal.org.
  • 2
    • 57249101814 scopus 로고    scopus 로고
    • Efficient pattern matching over event streams
    • J. Agrawal and et al. Efficient pattern matching over event streams. SIGMOD, pages 147-159, 2008.
    • (2008) SIGMOD , pp. 147-159
    • Agrawal, J.1
  • 3
    • 33749544969 scopus 로고    scopus 로고
    • Global distance-based segmentation of trajectories
    • A. Anagnostopoulos and et al. Global distance-based segmentation of trajectories. In ACM KDD, 2006.
    • (2006) ACM KDD
    • Anagnostopoulos, A.1
  • 4
    • 3142777878 scopus 로고    scopus 로고
    • Indexing spatio-temporal trajectories with Chebyshev polynomials
    • Y. Cai and R. Ng. Indexing spatio-temporal trajectories with Chebyshev polynomials. In ACM SIGMOD, pages 599-610, 2004.
    • (2004) ACM SIGMOD , pp. 599-610
    • Cai, Y.1    Ng, R.2
  • 5
    • 33745766710 scopus 로고    scopus 로고
    • Efficient evaluation of parameterized pattern queries
    • C. du Mouza, P. Rigaux, and M. Scholl. Efficient evaluation of parameterized pattern queries. In CIKM, pages 728-735, 2005.
    • (2005) CIKM , pp. 728-735
    • Du Mouza, C.1    Rigaux, P.2    Scholl, M.3
  • 6
    • 0036649481 scopus 로고    scopus 로고
    • Spatio-temporal predicates
    • M. Erwig and M. Schneider. Spatio-temporal predicates. IEEE TKDE, pages 881-901, 2002.
    • (2002) IEEE TKDE , pp. 881-901
    • Erwig, M.1    Schneider, M.2
  • 7
    • 85193238879 scopus 로고    scopus 로고
    • ArcGIS
    • ESRI. ArcGIS. www.esri.com.
  • 8
    • 0034819889 scopus 로고    scopus 로고
    • Optimal aggregation algorithms for middleware
    • R. Fagin, A. Lotem, and M. Naor. Optimal aggregation algorithms for middleware. In PODS, pages 102-113, 2001.
    • (2001) PODS , pp. 102-113
    • Fagin, R.1    Lotem, A.2    Naor, M.3
  • 13
    • 35449007737 scopus 로고    scopus 로고
    • Trajectory clustering: A partition-and-group framework
    • J.-G. Lee, J. Han, and K.-Y. Whang. Trajectory clustering: a partition-and-group framework. In SIGMOD, pages 593-604, 2007.
    • (2007) SIGMOD , pp. 593-604
    • Lee, J.-G.1    Han, J.2    Whang, K.-Y.3
  • 14
    • 12244264433 scopus 로고    scopus 로고
    • Mining, indexing, and querying historical spatiotemporal data
    • N. Mamoulis and et al. Mining, indexing, and querying historical spatiotemporal data. In ACM SIGKDD, pages 236-245, 2004.
    • (2004) ACM SIGKDD , pp. 236-245
    • Mamoulis, N.1
  • 15
    • 46749110489 scopus 로고    scopus 로고
    • SOLE: Scalable on-line execution of continuous queries on spatio-temporal data streams
    • M. Mokbel and W. Aref. SOLE: scalable on-line execution of continuous queries on spatio-temporal data streams. In VLDB J., pages 971-995, 2008.
    • (2008) VLDB J. , pp. 971-995
    • Mokbel, M.1    Aref, W.2
  • 16
    • 0036037647 scopus 로고    scopus 로고
    • On moving object queries
    • H. Mokhtar, J. Su, and O. Ibarra. On moving object queries. In ACM PODS, pages 188-198, 2002.
    • (2002) ACM PODS , pp. 188-198
    • Mokhtar, H.1    Su, J.2    Ibarra, O.3
  • 17
    • 33745208652 scopus 로고    scopus 로고
    • Indexing the past, present, and anticipated future positions of moving objects
    • DOI 10.1145/1132863.1132870
    • M. Pelanis, S. Saltenis, and C. Jensen. Indexing the past, present, and anticipated future positions of moving objects. ACM TODS, pages 255-298, 2006. (Pubitemid 43909002)
    • (2006) ACM Transactions on Database Systems , vol.31 , Issue.1 , pp. 255-298
    • Pelanis, M.1    Saltenis, S.2    Jensen, C.S.3
  • 18
    • 84877359020 scopus 로고    scopus 로고
    • Novel approaches in query processing for moving object trajectories
    • D. Pfoser, C. Jensen, and Y. Theodoridis. Novel approaches in query processing for moving object trajectories. In VLDB, pages 395-406, 2000.
    • (2000) VLDB , pp. 395-406
    • Pfoser, D.1    Jensen, C.2    Theodoridis, Y.3
  • 19
    • 77952272853 scopus 로고    scopus 로고
    • Expressing and optimizing sequence queries in database systems
    • R. Sadri and et al. Expressing and optimizing sequence queries in database systems. ACM TODS, 2004.
    • (2004) ACM TODS
    • Sadri, R.1
  • 20
    • 70350383039 scopus 로고    scopus 로고
    • Spatiotemporal pattern queries in SECONDO
    • M. A. Sakr and R. H. Güting. Spatiotemporal pattern queries in SECONDO. In SSTD, pages 422-426, 2009.
    • (2009) SSTD , pp. 422-426
    • Sakr, M.A.1    Güting, R.H.2
  • 22
    • 84944314495 scopus 로고    scopus 로고
    • MV3R-Tree: A spatio-temporal access method for timestamp and interval queries
    • Y. Tao and D. Papadias. MV3R-Tree: A spatio-temporal access method for timestamp and interval queries. In VLDB, pages 431-440, 2001.
    • (2001) VLDB , pp. 431-440
    • Tao, Y.1    Papadias, D.2
  • 23
    • 0037788772 scopus 로고    scopus 로고
    • Continuous nearest neighbor search
    • Y. Tao, D. Papadias, and Q. Shen. Continuous nearest neighbor search. In VLDB, pages 287-298, 2002.
    • (2002) VLDB , pp. 287-298
    • Tao, Y.1    Papadias, D.2    Shen, Q.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.