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173
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ISMIS
2011
Springer
14 years 28 days ago
2011
Springer
Abstract. Frequent itemset mining can be regarded as advanced database querying where a user specifies the dataset to be mined and constraints to be satisfied by the discovered i...
101
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DEXAW
2005
IEEE
14 years 12 months ago
2005
IEEE
Data mining applications are typically used in the decision making process. The Knowledge Discovery Process (KDD process for short) is a typical iterative process, in which not on...
CINQ
2004
Springer
15 years 3 months ago
2004
Springer
The subfield of itemset mining is essentially a collection of algorithms. Whenever a new type of constraint is discovered, a specialized algorithm is proposed to handle it. All o...
AI
2005
Springer
15 years 3 months ago
2005
Springer
Spatial clustering is an active research area in spatial data mining with various methods reported. In this paper, we compare two density-based methods, DBSCAN and DBRS. First, we ...
PKDD
1998
Springer
15 years 2 months ago
1998
Springer
Most of the literature argues that surprisingness is an inherently subjective aspect of the discovered knowledge, which cannot be measured in objective terms. This paper departs fr...