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» Efficient Discovery of Confounders in Large Data Sets
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VIIP
2001
13 years 11 months ago
3-D Haar Wavelet Transformation and Texture-based 3-D Reconstruction of Biomedical Data Sets
Enhanced biomedical image scanning technology and growing network accessibility have created a need for faster and more efficient data exchange over the Internet and in closed net...
Pujita Pinnamaneni, Sagar Saladi, Joerg Meyer
DAMON
2006
Springer
14 years 2 months ago
Processing-in-memory technology for knowledge discovery algorithms
The goal of this work is to gain insight into whether processingin-memory (PIM) technology can be used to accelerate the performance of link discovery algorithms, which represent ...
Jafar Adibi, Tim Barrett, Spundun Bhatt, Hans Chal...
KDD
2002
ACM
150views Data Mining» more  KDD 2002»
14 years 10 months ago
Querying multiple sets of discovered rules
Rule mining is an important data mining task that has been applied to numerous real-world applications. Often a rule mining system generates a large number of rules and only a sma...
Alexander Tuzhilin, Bing Liu
IDA
2006
Springer
13 years 10 months ago
Supporting bi-cluster interpretation in 0/1 data by means of local patterns
Clustering or co-clustering techniques have been proved useful in many application domains. A weakness of these techniques remains the poor support for grouping characterization. ...
Ruggero G. Pensa, Céline Robardet, Jean-Fra...
AUSDM
2008
Springer
235views Data Mining» more  AUSDM 2008»
14 years 12 days ago
ShrFP-Tree: An Efficient Tree Structure for Mining Share-Frequent Patterns
Share-frequent pattern mining discovers more useful and realistic knowledge from database compared to the traditional frequent pattern mining by considering the non-binary frequen...
Chowdhury Farhan Ahmed, Syed Khairuzzaman Tanbeer,...