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» Using Data Mining in MURA Graphic Problems
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DMIN
2006
239views Data Mining» more  DMIN 2006»
14 years 10 months ago
Mining of Stock Data: Intra- and Inter-Stock Pattern Associative Classification
In this paper, a pattern-based stock data mining approach which transforms the numeric stock data to symbolic sequences, carries out sequential and non-sequential association analy...
Jo Ting, Tak-Chung Fu, Fu-Lai Chung
EPIA
2005
Springer
15 years 3 months ago
Monitoring the Quality of Meta-data in Web Portals Using Statistics, Visualization and Data Mining
We propose a methodology to monitor the quality of the meta-data used to describe content in web portals. It is based on the analysis of the meta-data using statistics, visualizati...
Carlos Soares, Alípio Mário Jorge, M...
DKE
2008
98views more  DKE 2008»
14 years 9 months ago
Privacy-preserving imputation of missing data
Handling missing data is a critical step to ensuring good results in data mining. Like most data mining algorithms, existing privacy-preserving data mining algorithms assume data ...
Geetha Jagannathan, Rebecca N. Wright
KDD
2001
ACM
192views Data Mining» more  KDD 2001»
15 years 9 months ago
Data mining with sparse grids using simplicial basis functions
Recently we presented a new approach [18] to the classification problem arising in data mining. It is based on the regularization network approach but, in contrast to other method...
Jochen Garcke, Michael Griebel
ESWA
2008
128views more  ESWA 2008»
14 years 9 months ago
Mining the data from a hyperheuristic approach using associative classification
Associative classification is a promising classification approach that utilises association rule mining to construct accurate classification models. In this paper, we investigate ...
Fadi A. Thabtah, Peter I. Cowling