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CIMCA
2005
IEEE
15 years 3 months ago
Mining for Useful Association Rules Using the ATMS
Association rule mining has made many achievements in the area of knowledge discovery in databases. Recent years, the quality of the extracted association rules has drawn more and...
Yue Xu, Yuefeng Li
AI
2005
Springer
15 years 3 months ago
Towards an Ontology-Based Spatial Clustering Framework
Spatial clustering is an important topic in knowledge discovery research. However, most clustering methods do not consider semantic information during the clustering process. In th...
Xin Wang, Howard J. Hamilton
RSCTC
2004
Springer
148views Fuzzy Logic» more  RSCTC 2004»
15 years 3 months ago
Towards Missing Data Imputation: A Study of Fuzzy K-means Clustering Method
In this paper, we present a missing data imputation method based on one of the most popular techniques in Knowledge Discovery in Databases (KDD), i.e. clustering technique. We comb...
Dan Li, Jitender S. Deogun, William Spaulding, Bil...
EDBT
2000
ACM
15 years 2 months ago
Quality Assessment and Uncertainty Handling in Data Mining Process
The KDD process aims at the discovery and extraction of “useful” knowledge (such as interesting patterns, classification, rules etc) from large data repositories. A widely rec...
Maria Halkidi
INFOVIS
1999
IEEE
15 years 2 months ago
The Sunflower Visual Metaphor, a New Paradigm for Dimensional Compression
This paper introduces the Sunflower visual metaphor for information visualization. The visual metaphor is presented as an alternative to current techniques of dimensional compress...
Stuart J. Rose