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KDD
2006
ACM
109views Data Mining» more  KDD 2006»
16 years 2 months ago
Extracting redundancy-aware top-k patterns
Observed in many applications, there is a potential need of extracting a small set of frequent patterns having not only high significance but also low redundancy. The significance...
Dong Xin, Hong Cheng, Xifeng Yan, Jiawei Han
102
Voted
KDD
2004
ACM
211views Data Mining» more  KDD 2004»
16 years 2 months ago
Towards parameter-free data mining
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) R...
111
Voted
CHI
2006
ACM
16 years 2 months ago
Speech pen: predictive handwriting based on ambient multimodal recognition
It is tedious to handwrite long passages of text by hand. To make this process more efficient, we propose predictive handwriting that provides input predictions when the user writ...
Kazutaka Kurihara, Masataka Goto, Jun Ogata, Takeo...
132
Voted
VLSID
2002
IEEE
142views VLSI» more  VLSID 2002»
16 years 2 months ago
Address Code and Arithmetic Optimizations for Embedded Systems
An important class of problems used widely in both the embedded systems and scientific domains perform memory intensive computations on large data sets. These data sets get to be ...
J. Ramanujam, Satish Krishnamurthy, Jinpyo Hong, M...
HPCA
2004
IEEE
16 years 2 months ago
Accurate and Complexity-Effective Spatial Pattern Prediction
Recent research suggests that there are large variations in a cache's spatial usage, both within and across programs. Unfortunately, conventional caches typically employ fixe...
Chi F. Chen, Se-Hyun Yang, Babak Falsafi, Andreas ...
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