References
- G.Ozsoyoglu and R.T.Snodgrass. Temporal and Real-Time Databases: A Survey. IEEE Transactions on Knowledge and Data Engineering, Vol.7, No.4, pages 513-532, 1995 https://doi.org/10.1109/69.404027
- H.Gregersen, and C.S.Jensen. Temporal Entity-Relationship Models - A Survey. Technical Report R-96-2039, Aalborg University, 1996
- J.Melton. SQL/Temporal. July 1996. (ISO/IEC JTC 1/SC 21/WG 3 DBL-MCI-0012.)
- R.T.Snodgrass, I.Ahn, G.Ariav and et al. The TSQL2 Temporal Query Language. Kluwer Academic Publishers, 1995
- C.Dyreson, W.Evans, H.Lin and R.T.Snodgrass. Efficiently supporting Temporal Granularities. IEEE Transactions on Knowledge and Data Engineering, Vol. 12, No. 4, pages 568-587, 2000 https://doi.org/10.1109/69.868908
- J.S.Kim and M.H.Kim. An Effective Data Clustering Measure for Temporal Selection and Projection Queries. Decision Support Systems, Vol. 30, No. 1, pages 33-50, 2000 https://doi.org/10.1016/S0167-9236(00)00088-9
- M.D.Soo, R.T.Snodgrass and C.S.Jensen. Efficient Evaluation of the Valid-Time Natural Join. Proceedings of the International Conference on Data Engineering, pages 282-292, 1994
- B.Salzberg and V.J.Tsotras. A Comparison of Access Methods for Time Evolving Data. ACM Computing Surveys, Vol. 31, Issue. 2, pages 158-221, 1997 https://doi.org/10.1145/319806.319816
- V.J.Tsotras, B.Gopinath and G.W.Hart. Efficient Management of Time-Evolving Databases. IEEE Transactions of Knowledge and Data Engineering, Vol. 7, No. 4, pages 591-608, 1995 https://doi.org/10.1109/69.404032
- K.Torp, C.S.Jensen and R.T.Snodgrass. Effective Timestamping in Databases. Journal of Very Large Data Bases. Vol. 8, Issue. 3, pages 267-288, 2000 https://doi.org/10.1007/s007780050008
- V.J.Tsotras, N.Kangelaris. The Snapshot Index: An I/O-optimal access method for timeslice queries. Journal of Information Systems, Vol. 20, No. 3, pages 237-260, 1995 https://doi.org/10.1016/0306-4379(95)00011-R
- J.A.G.Gendrano, B.C.Huang, J.M.Rodrigue, B.Moon and R.T.Snodgrass. Parallel Algorithms for Computing Temporal Aggregates. International Conference on Data Engineering, pages 418-427, 1999
- J.S.Kim, S.T.kang and M.H.Kim, On Temporal Aggregate Processing based on Time Points. Journal of Korea Information Science Society (KISS), p.1418-1427, Vol.26, No.12, 1999
- N.Kline, and R.T.Snodgrass. Computing Temporal Aggregates. International Conference on Database Engineering, pages 222-231, 1995
- B.Moon, I.F.V.Lopez and V.Immanuel. Efficient Algorithms for Large Temporal Aggregation. IEEE Transactions on Knowledge and Data Engineering, Vol. 15, No. 3, pages 744-759, 2003 https://doi.org/10.1109/TKDE.2003.1198403
- R.T.Snodgrass, S.Gomez and L.E.McKlenzie. Aggregates in the temporal query language TQuel. IEEE Transaction on Knowledge and Data Engineering, Vol. 5, No. 5, pages 826-842, October 1993 https://doi.org/10.1109/69.243512
- P.A.Tuma. Implementing Historical Aggregates in TempIS. Master's Thesis, Wayne State University, Nov. 1992
- X.Ye and J.A.Keane. Processing Temporal Aggregates in Parallel. International Conference on Systems, Man, and Cybernetics, pages 1373-1378, 1997
- J.Yang and J.Widom, Incremental Computation and Maintenance of Temporal Aggregates. International Conference on Data Engineering, pages 51-60, 2001
- D.Zhang, A.Markowetz, V.Tsotras, D.Gunopulos and B.Seeger. Efficient Computation of Temporal Aggregates with Range Predicates. Principles of Database Systems, 2001
- B.Seeger and H.P.Kriegal. Techniques for Design and Implementation of Efficient Spatial Access Methods. International Conference on Very Large Data Bases, pages 360-371, 1988
- H.K.Park, S.T.kang, M.H.Kim and K.W.Min. On Indexing Method for Current Positions of Moving Objects. Journal of the Korea Open GIS Association,Vol. 5, No. 1, P. 65-74. 2003, 6
- J.W.Song, K.Y.Whang, Y.K.Lee, M.J.Lee and S.W.Kim. Spatial Join Processing Using Corner Transformation. IEEE Transactions of Knowledge and Data Engineering, Vol. 11, No. 4, pages 688-695, 1999 https://doi.org/10.1109/69.790844
- V.Gaede and O.Gunther. Multidimensional Access Methods. ACM Computing Surveys. Vol. 30, Issue. 2, pages 170-231, 1998 https://doi.org/10.1145/280277.280279