Mining Scientific Data.
Usama M. Fayyad, David Haussler, Paul E. Stolorz:
Mining Scientific Data.
Commun. ACM 39(11): 51-57(1996)@article{DBLP:journals/cacm/FayyadHS96,
author = {Usama M. Fayyad and
David Haussler and
Paul E. Stolorz},
title = {Mining Scientific Data},
journal = {Commun. ACM},
volume = {39},
number = {11},
year = {1996},
pages = {51-57},
ee = {db/journals/cacm/FayyadHS96.html},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
Digesting millions of data points, each with tens or hundreds
of measurements - generally beyond a scientist's
human capability - can be turned over to data mining
techniques for data reduction, which functions as an
interface between the scientist and large datasets.
Copyright © 1996 by the ACM,
Inc., used by permission. Permission to make
digital or hard copies is granted provided that
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BibTeX
Citation Page
References
- [1]
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- [3]
- 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
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- [6]
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- [7]
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- [8]
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- [9]
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- [10]
- Paul E. Stolorz, Christopher Dean:
Quakefinder: A Scalable Data Mining System for Detecting Earthquakes from Space.
KDD 1996: 208-213 BibTeX
- [11]
- Paul E. Stolorz, Hisashi Nakamura, Edmond Mesrobian, Richard R. Muntz, Eddie C. Shek, Jose Renato Santos, J. Yi, Kenneth W. Ng, S.-Y. Chien, Carlos R. Mechoso, John D. Farrara:
Fast Spatio-Temporal Data Mining of Large Geophysical Datasets.
KDD 1995: 300-305 BibTeX
- [12]
- ...
- [13]
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Referenced by
- Usama M. Fayyad:
Mining Databases: Towards Algorithms for Knowledge Discovery.
IEEE Data Eng. Bull. 21(1): 39-48(1998)
- Usama M. Fayyad:
Data Mining and Knowledge Discovery in Databases: Implications for Scientific Databases.
SSDBM 1997: 2-11
BibTeX
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