Selected Publications by Mario A. Nascimento DBGroup@UofACS@UofA

Publications listed at DBLP. (Thanks to Michael Ley at the DBLP project.)
Publications listed at Google Scholar.
Most publications since 1995.



  • Chen, S., Ooi, B.-C., Tan, K.L. and Nascimento, M.A. Self-Tunable Spatio-Temporal B+-tree for Moving Objects. ACM SIGMOD 2008, p. 29-42.
  • Botea, V., Mallett, D., Nascimento, M.A. and Sander, J. Efficient and Practical Indexing of Historical Spatio-Temporal Data. GeoInformatica J., 12(2), p. 143-168, 2008.

  • Santos, C.F., de Moura, E.S., Silva, A.S., Araujo, B.S., Calado, P. and Nascimento, M.A. Locality Based Pruning Methods for Web Search . ACM Trans. on Information Systems, 26(2), 2008.

  • Coman, A., Sander, J. and Nascimento, M.A., Adaptive processing of historical spatial range queries in peer-to-peer sensor networks.. Distributed and Parallel Databases J., 2007.

  • Coman, A., Nascimento, M.A. A Distributed Algorithm for Joins in Sensor Networks . IEEE SSDBM 2007.

  • Y. Chen, M.A. Nascimento, B.C. Ooi and A.K.H. Tung. SpADe: On Shape-based Pattern Detection in Streaming Time Series . IEEE ICDE 2007.

  • Coman, A., Nascimento, M.A. and Sander, J., Exploiting Redundancy in Sensor Networks for Energy Efficient Processing of Spatiotemporal Region Queries. . ACM CIKM, 2005

  • Rasetic, S., Sander, J., Elding, J. and Nascimento, M.A., A Trajectory Splitting Model for Efficient Spatio-Temporal Indexing . VLDB, 2005.

  • Nascimento, M.A., Sander, J. and Pound, J. Analysis of SIGMOD's Co-Authorship Graph. ACM SIGMOD Record, 2003. [Website].

  • Stehling, R.O., Nascimento, M.A. and Falcao, A.X. A Compact and Efficient Image Retrieval Approach Based on Border/Interior Pixel Classification. ACM CIKM, 2002.

  • Theodoridis, Y., Silva, J.R.O. and Nascimento, M.A., On the Generation of Spatiotemporal Datasets . SSD, 1999.

  • Nascimento, M.A., and Dunham, M.H., Indexing Valid Time Databases via B+-trees. IEEE TKDE, 1999.


  • [University of Alberta]
    University of Alberta
    [Department of Computing Science]
    Computing Science