(Enter summary)
Abstract: We describe an industrial-strength data mining
application in telecommunications. The application
requires building a short (7 byte) profile for
all telephone numbers seen on a large telecom network.
By large, we mean very large: we maintain
approximately 350 million profiles. In addition,
the procedure for updating these profiles
is based on processing approximately 275 million
call records per day. We discuss the motivation
for massive tracking and fully describe the definition
and... (Update)
Context of citations to this paper: More
...was placed. It might also contain derived information such as the degree to which the calling pattern from the number is business like [4]. Programs to compute signatures must be highly optimized because of the size of the data stream and the number of signatures tracked....
Cited by: More
Data Mining in Telecommunications - Weiss
(Correct)
Hancock: A Language for Extracting Signatures from.. - Cortes, Fisher.. (2000)
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BibTeX entry: (Update)
C. Cortes and D. Pregibon. Giga mining. In Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 1998. http://citeseer.ist.psu.edu/469772.html More
@inproceedings{ cortes98gigamining,
author = "Corinna Cortes and Daryl Pregibon",
title = "Giga-Mining",
booktitle = "Knowledge Discovery and Data Mining",
pages = "174-178",
year = "1998",
url = "citeseer.ist.psu.edu/469772.html" }
Citations not processed or no citations identified.
Documents on the same site (http://www.research.att.com/info/corinna): More
Limits on Learning Machine Accuracy Imposed by Data Quality - Cortes, Jackel, Chiang (1995)
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Hancock: A Language for Extracting Signatures from.. - Cortes, Fisher.. (2000)
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Support-Vector Networks - Cortes, Vapnik (1995)
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