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KDD
1995
ACM
108views Data Mining» more  KDD 1995»
13 years 9 months ago
A Statistical Perspective On Knowledge Discovery In Databases
The quest to nd models usefully characterizing data is a process central to the scienti c method, and has been carried out on many fronts. Researchers from an expanding number of ...
John F. Elder IV, Daryl Pregibon
JCP
2008
104views more  JCP 2008»
13 years 5 months ago
Process Planning Knowledge Discovery Based on CAPP Database for Mechanical Manufacturing Enterprise
Knowledge discovery in database have been attracting a significant amount of research, industry attention in recent years. Process planning knowledge (PPK) is one of the most impor...
Xiaoliang Jia, Zhenming Zhang, Xitian Tian
DMIN
2006
151views Data Mining» more  DMIN 2006»
13 years 7 months ago
Rough Set Theory: Approach for Similarity Measure in Cluster Analysis
- Clustering of data is an important data mining application. One of the problems with traditional partitioning clustering methods is that they partition the data into hard bound n...
Shuchita Upadhyaya, Alka Arora, Rajni Jain
FSS
2007
176views more  FSS 2007»
13 years 5 months ago
Set approximations in fuzzy formal concept analysis
Formal concept analysis and rough set theory are two important tools in knowledge representation and knowledge discovery in relational information systems. The purpose of this pap...
Ming-Wen Shao, Min Liu, Wen-Xiu Zhang
DAGM
1999
Springer
13 years 10 months ago
Knowledge Discovery in Spatial Databases
Both, the number and the size of spatial databases, such as geographic or medical databases, are rapidly growing because of the large amount of data obtained from satellite images,...
Martin Ester, Hans-Peter Kriegel, Jörg Sander