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152
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ICS
1999
Tsinghua U.
15 years 9 months ago
Performance impact of proxies in data intensive client-server applications
Large client-server data intensive applications can place high demands on system and network resources. This is especially true when the connection between the client and server s...
Michael D. Beynon, Alan Sussman, Joel H. Saltz
DMIN
2009
185views Data Mining» more  DMIN 2009»
15 years 2 months ago
A Sparse Coding Based Similarity Measure
In high dimensional data sets not all dimensions contain an equal amount of information and most of the time global features are more important than local differences. This makes ...
Sebastian Klenk, Gunther Heidemann
ICDM
2007
IEEE
157views Data Mining» more  ICDM 2007»
15 years 6 months ago
Training Conditional Random Fields by Periodic Step Size Adaptation for Large-Scale Text Mining
For applications with consecutive incoming training examples, on-line learning has the potential to achieve a likelihood as high as off-line learning without scanning all availabl...
Han-Shen Huang, Yu-Ming Chang, Chun-Nan Hsu
129
Voted
PAKDD
2009
ACM
135views Data Mining» more  PAKDD 2009»
15 years 11 months ago
On Mining Rating Dependencies in Online Collaborative Rating Networks
The trend of social information processing sees e-commerce and social web applications increasingly relying on user-generated content, such as rating, to determine the quality of o...
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
181
Voted
ICPP
2000
IEEE
15 years 9 months ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary