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Knowledge Discovery in an Earthquake Text Database: Correlation between Significant Earthquakes and the Time of Day.

Jeffrey A. Goldman, Douglas Stott Parker Jr., Wesley W. Chu: Knowledge Discovery in an Earthquake Text Database: Correlation between Significant Earthquakes and the Time of Day. SSDBM 1997: 12-21
@inproceedings{DBLP:conf/ssdbm/GoldmanPC97,
  author    = {Jeffrey A. Goldman and
               Douglas Stott Parker Jr. and
               Wesley W. Chu},
  editor    = {Yannis E. Ioannidis and
               David M. Hansen},
  title     = {Knowledge Discovery in an Earthquake Text Database: Correlation
               between Significant Earthquakes and the Time of Day},
  booktitle = {Ninth International Conference on Scientific and Statistical
               Database Management, Proceedings, August 11-13, 1997, Olympia,
               Washington, USA},
  publisher = {IEEE Computer Society},
  year      = {1997},
  isbn      = {0-8186-7952-2},
  pages     = {12-21},
  ee        = {db/conf/ssdbm/GoldmanPC97.html},
  crossref  = {DBLP:conf/ssdbm/97},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

In this paper, we take a real world application from a text database and present a case history. The techniques ultimately led to a discovery contradicting an accepted paradigm in seismology. Using simple, tailored, keyword extraction, we examined a text collection of earthquake data. A discovery was made when an unusual pattern emerged from the text. We then tested a more comprehensive numerical database, treating the the text discovery as a hypothesis. It was verified using a standard chi-square statistic. The hypothesis was significant earthquakes in the longitude regions that include California, occur more often in the morning hours than any other time of day.

Copyright © 1997 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.

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Yannis E. Ioannidis, David M. Hansen (Eds.): Ninth International Conference on Scientific and Statistical Database Management, Proceedings, August 11-13, 1997, Olympia, Washington, USA. IEEE Computer Society 1997, ISBN 0-8186-7952-2
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