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KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 6 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
14 years 3 months ago
Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.
Large amounts of remotely sensed data calls for data mining techniques to fully utilize their rich information content. In this paper, we study new means of discovery and summariz...
Wei Ding 0003, Tomasz F. Stepinski, Josue Salazar
ICDM
2009
IEEE
148views Data Mining» more  ICDM 2009»
14 years 22 days ago
Online System Problem Detection by Mining Patterns of Console Logs
Abstract—We describe a novel application of using data mining and statistical learning methods to automatically monitor and detect abnormal execution traces from console logs in ...
Wei Xu, Ling Huang, Armando Fox, David Patterson, ...
ISVLSI
2007
IEEE
184views VLSI» more  ISVLSI 2007»
14 years 11 days ago
Activity-Aware Registers Placement for Low Power Gated Clock Tree Construction
As power consumption of the clock tree dominates over 40% of the total power in modern high performance VLSI designs, measures must be taken to keep it under control. One of the m...
Weixiang Shen, Yici Cai, Xianlong Hong, Jiang Hu
ICDM
2006
IEEE
116views Data Mining» more  ICDM 2006»
14 years 3 days ago
Improving Personalization Solutions through Optimal Segmentation of Customer Bases
On the Web, where the search costs are low and the competition is just a mouse click away, it is crucial to segment the customers intelligently in order to offer more targeted and...
Tianyi Jiang, Alexander Tuzhilin