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AI
2005
Springer
16 years 16 days ago
A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets
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 ...
Xin Wang, Howard J. Hamilton
PKDD
1998
Springer
113views Data Mining» more  PKDD 1998»
15 years 11 months ago
On Objective Measures of Rule Surprisingness
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...
Alex Alves Freitas
KDD
1997
ACM
117views Data Mining» more  KDD 1997»
15 years 11 months ago
Deep Knowledge Discovery from Natural Language Texts
Weintroduceaknowledge-basedapproachto deepknowledge discoveryfrom real-world naturallanguagetexts. Datamining, datainterpretation,anddatacleaningareall incorporatedin cycles of qu...
Udo Hahn, Klemens Schnattinger
FLAIRS
2008
15 years 9 months ago
Semi-Automatic Refinement and Assessment of Subgroup Patterns
This paper presents a methodological approach for the semiautomatic refinement and assessment of subgroup patterns using summarization and clustering techniques in the context of ...
Martin Atzmüller, Frank Puppe
IPL
2008
135views more  IPL 2008»
15 years 7 months ago
On the Positive-Negative Partial Set Cover problem
The Positive-Negative Partial Set Cover problem is introduced and its complexity, especially the hardness-of-approximation, is studied. The problem generalizes the Set Cover probl...
Pauli Miettinen