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Volumn 18, Issue 2, 2007, Pages 62-79

Temporal aggregation using a multidimensional index

Author keywords

Multidimensional index; Temporal aggregation

Indexed keywords

FORESTRY; QUERY PROCESSING;

EID: 47349088866     PISSN: 10638016     EISSN: 15338010     Source Type: Journal    
DOI: 10.4018/jdm.2007040104     Document Type: Article
Times cited : (2)

References (16)
  • 1
    • 0037621005 scopus 로고
    • Techniques for processing of aggregates in relational database systems
    • M7918, Berkeley, CA: University of California
    • Epstein, R. (1979). Techniques for processing of aggregates in relational database systems (Tech. Rep. UCB/ERL M7918). Berkeley, CA: University of California.
    • (1979) Tech. Rep. UCB/ERL
    • Epstein, R.1
  • 2
    • 0032083561 scopus 로고    scopus 로고
    • Multi-dimensional access methods
    • Gaede, V., & Gunther, O. (1998). Multi-dimensional access methods. ACM Computing Surveys, 30(2), 170-231.
    • (1998) ACM Computing Surveys , vol.30 , Issue.2 , pp. 170-231
    • Gaede, V.1    Gunther, O.2
  • 4
    • 0000177528 scopus 로고    scopus 로고
    • The consensus glossary of temporal database concepts (February 1998 version). Temporal databases: Research and practice
    • Jensen, C. S., et al. (1998). The consensus glossary of temporal database concepts (February 1998 version). Temporal databases: research and practice. Lecture Notes in Computer Science (LNCS), 1399, 373-374.
    • (1998) Lecture Notes in Computer Science (LNCS) , vol.1399 , pp. 373-374
    • Jensen, C.S.1
  • 11
    • 3042552244 scopus 로고    scopus 로고
    • Reconciling point-based and Interval-based semantics in temporal relational databases: A treatment of the telic/atelic distinction
    • Terenziani, P., & Snodgrass, R. T. (2004). Reconciling point-based and Interval-based semantics in temporal relational databases: A treatment of the telic/atelic distinction. IEEE Transactions on Knowledge and Data Engineering, 16(5), 540-551.
    • (2004) IEEE Transactions on Knowledge and Data Engineering , vol.16 , Issue.5 , pp. 540-551
    • Terenziani, P.1    Snodgrass, R.T.2
  • 12
    • 0345117980 scopus 로고    scopus 로고
    • Applying UML and XML for designing and interchanging informa- tion for data warehouses and OLAP applications
    • Trujillo, J., Luján-Mora, S., & Song, I.-Y. (2004).Applying UML and XML for designing and interchanging informa- tion for data warehouses and OLAP applications. Journal of Database Management, 15(1), 41-72.
    • (2004) Journal of Database Management , vol.15 , Issue.1 , pp. 41-72
    • Trujillo, J.1    Luján-Mora, S.2    Song, I.-Y.3
  • 15
    • 0142200483 scopus 로고    scopus 로고
    • Incremental computation and maintenance of temporal aggregates
    • Yang, J., & Widom, J. (2003). Incremental computation and maintenance of temporal aggregates. The VLDB Journal, 12(3), 262-283.
    • (2003) The VLDB Journal , vol.12 , Issue.3 , pp. 262-283
    • Yang, J.1    Widom, J.2
  • 16
    • 0031361491 scopus 로고    scopus 로고
    • Processing temporal aggregates in parallel
    • Man, and Cybernetics, Orlando, USA, pp
    • Ye, X., & Keane, J. A. (1997). Processing temporal aggregates in parallel. In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Orlando, USA, (pp. 1373-1378).
    • (1997) Proceedings of the IEEE International Conference on Systems , pp. 1373-1378
    • Ye, X.1    Keane, J.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.