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CIDM
2009
IEEE
16 years 24 days ago
An improved multiple minimum support based approach to mine rare association rules
Abstract—In this paper we have proposed an improved approach to extract rare association rules. Rare association rules are the association rules containing rare items. Rare items...
R. Uday Kiran, P. Krishna Reddy
KDD
1998
ACM
160views Data Mining» more  KDD 1998»
15 years 10 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...
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 6 months ago
Dense itemsets
Frequent itemset mining has been the subject of a lot of work in data mining research ever since association rules were introduced. In this paper we address a problem with frequen...
Heikki Mannila, Jouni K. Seppänen
KDD
2010
ACM
161views Data Mining» more  KDD 2010»
15 years 8 months ago
Mass estimation and its applications
This paper introduces mass estimation—a base modelling mechanism in data mining. It provides the theoretical basis of mass and an efficient method to estimate mass. We show that...
Kai Ming Ting, Guang-Tong Zhou, Fei Tony Liu, Jame...
VLDB
2005
ACM
136views Database» more  VLDB 2005»
15 years 11 months ago
On k-Anonymity and the Curse of Dimensionality
In recent years, the wide availability of personal data has made the problem of privacy preserving data mining an important one. A number of methods have recently been proposed fo...
Charu C. Aggarwal