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BMCBI
2010
151views more  BMCBI 2010»
13 years 7 months ago
Data reduction for spectral clustering to analyze high throughput flow cytometry data
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
Habil Zare, Parisa Shooshtari, Arvind Gupta, Ryan ...
IJON
2010
152views more  IJON 2010»
13 years 6 months ago
Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data
Due to the tremendous increase of electronic information with respect to the size of data sets as well as their dimension, dimension reduction and visualization of high-dimensiona...
Kerstin Bunte, Barbara Hammer, Axel Wismüller...
ICEIS
2008
IEEE
14 years 2 months ago
Internal Fraud Risk Reduction - Results of a Data Mining Case Study
Corporate fraud these days represents a huge cost to our economy. Academic literature already concentrated on how data mining techniques can be of value in the fight against frau...
Mieke Jans, Nadine Lybaert, Koen Vanhoof
PATMOS
2010
Springer
13 years 5 months ago
L1 Data Cache Power Reduction Using a Forwarding Predictor
In most modern processor designs the L1 data cache has become a major consumer of power due to its increasing size and high frequency access rate. In order to reduce this power con...
P. Carazo, R. Apolloni, Fernando Castro, Daniel Ch...
ITC
2002
IEEE
83views Hardware» more  ITC 2002»
14 years 14 days ago
Packet-Based Input Test Data Compression Techniques
1 This paper presents a test input data compression technique, which can be used to reduce input test data volume, test time, and the number of required tester channels. The techni...
Erik H. Volkerink, Ajay Khoche, Subhasish Mitra