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» Theoretical Frameworks for Data Mining
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PODS
2004
ACM
128views Database» more  PODS 2004»
14 years 9 months ago
Replicated Declustering of Spatial Data
The problem of disk declustering is to distribute data among multiple disks to reduce query response times through parallel I/O. A strictly optimal declustering technique is one t...
Hakan Ferhatosmanoglu, Aravind Ramachandran, Ali S...
IJCV
2006
165views more  IJCV 2006»
13 years 9 months ago
A Riemannian Framework for Tensor Computing
Tensors are nowadays a common source of geometric information. In this paper, we propose to endow the tensor space with an affine-invariant Riemannian metric. We demonstrate that ...
Xavier Pennec, Pierre Fillard, Nicholas Ayache
WISE
2005
Springer
14 years 2 months ago
A Web Recommendation Technique Based on Probabilistic Latent Semantic Analysis
Web transaction data between Web visitors and Web functionalities usually convey user task-oriented behavior pattern. Mining such type of clickstream data will lead to capture usag...
Guandong Xu, Yanchun Zhang, Xiaofang Zhou
ICDM
2008
IEEE
109views Data Mining» more  ICDM 2008»
14 years 3 months ago
Learning by Propagability
In this paper, we present a novel feature extraction framework, called learning by propagability. The whole learning process is driven by the philosophy that the data labels and o...
Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim, Loon...
RAID
1999
Springer
14 years 1 months ago
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
Wenke Lee, Salvatore J. Stolfo