Discover Relaxed Periodicity in Temporal Databases.

@inproceedings{DBLP:conf/dasfaa/TangYZ99,
  author    = {Changjie Tang and
               Zhonghua Yu and
               Tianqing Zhang},
  editor    = {Arbee L. P. Chen and
               Frederick H. Lochovsky},
  title     = {Discover Relaxed Periodicity in Temporal Databases},
  booktitle = {Database Systems for Advanced Applications, Proceedings of the
               Sixth International Conference on Database Systems for Advanced
               Applications (DASFAA), April 19-21, Hsinchu, Taiwan},
  publisher = {IEEE Computer Society},
  year      = {1999},
  isbn      = {0-7695-0084-6},
  pages     = {203-209},
  ee        = {db/conf/dasfaa/TangYZ99.html},
  crossref  = {DBLP:conf/dasfaa/99},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Copyright © 1999 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.

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References

[1]

Abdullah Uz Tansel, James Clifford, Shashi K. Gadia, Sushil Jajodia, Arie Segev, Richard T. Snodgrass (Eds.): Temporal Databases: Theory, Design, and Implementation. Benjamin/Cummings 1993, ISBN 0-8053-2413-5
Contents BibTeX

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Banu Özden, Sridhar Ramaswamy, Abraham Silberschatz: Cyclic Association Rules. ICDE 1998: 412-421 BibTeX

[5]

Jiawei Han, Wan Gong, Yiwen Yin: Mining Segment-Wise Periodic Patterns in Time-Related Databases. KDD 1998: 214-218 BibTeX

[6]

Rakesh Agrawal, King-Ip Lin, Harpreet S. Sawhney, Kyuseok Shim: Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases. VLDB 1995: 490-501 BibTeX

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[8]

Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth, Ramasamy Uthurusamy (Eds.): Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press 1996, ISBN 0-262-56097-6
Contents BibTeX