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» A Perspective on Databases and Data Mining
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SIGMOD
2000
ACM
212views Database» more  SIGMOD 2000»
15 years 8 months ago
SQLEM: Fast Clustering in SQL using the EM Algorithm
Clustering is one of the most important tasks performed in Data Mining applications. This paper presents an e cient SQL implementation of the EM algorithm to perform clustering in...
Carlos Ordonez, Paul Cereghini
ICSM
1998
IEEE
15 years 8 months ago
Identification of Data Cohesive Subsystems Using Data Mining Techniques
The activity of reengineering and maintaining large legacy systems involves the use of design recovery es to produce abstractions that facilitate the understanding of the system. ...
Carlos Montes de Oca, Doris L. Carver
VLDB
1997
ACM
169views Database» more  VLDB 1997»
15 years 8 months ago
Mining Insurance Data at Swiss Life
Huge masses of digital data about products, customers and competitors have become available for companies in the services sector. In order to exploit its inherent (and often hidde...
Jörg-Uwe Kietz, Ulrich Reimer, Martin Staudt
KDD
1998
ACM
160views Data Mining» more  KDD 1998»
15 years 8 months ago
Algorithms for Characterization and Trend Detection in Spatial Databases
1 The number and the size of spatial databases, e.g. for geomarketing, traffic control or environmental studies, are rapidly growing which results in an increasing need for spatial...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...
140
Voted
SIGKDD
2002
172views more  SIGKDD 2002»
15 years 3 months ago
Data Mining, National Security, Privacy and Civil Liberties
In this paper, we describe the threats to privacy that can occur through data mining and then view the privacy problem as a variation of the inference problem in databases. Keywor...
Bhavani M. Thuraisingham