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» Data Mining: Machine Learning, Statistics, and Databases
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INCDM
2010
Springer
213views Data Mining» more  INCDM 2010»
15 years 3 months ago
Automated Vision-Based Diagnosis of Cassava Mosaic Disease
Abstract. Cassava Mosaic Disease (CMD) has been an increasing concern to all countries in sub-Saharan Africa that depend on cassava for both commercial and local consumption. Infor...
Jennifer R. Aduwo, Ernest Mwebaze, John A. Quinn
SBBD
2000
168views Database» more  SBBD 2000»
15 years 1 months ago
Fast Feature Selection Using Fractal Dimension
Dimensionalitycurse and dimensionalityreduction are two issues that have retained highinterest for data mining, machine learning, multimedia indexing, and clustering. We present a...
Caetano Traina Jr., Agma J. M. Traina, Leejay Wu, ...
ADMA
2010
Springer
271views Data Mining» more  ADMA 2010»
14 years 6 months ago
Exploiting Concept Clumping for Efficient Incremental E-Mail Categorization
We introduce a novel approach to incremental e-mail categorization based on identifying and exploiting "clumps" of messages that are classified similarly. Clumping reflec...
Alfred Krzywicki, Wayne Wobcke
RSFDGRC
2005
Springer
192views Data Mining» more  RSFDGRC 2005»
15 years 5 months ago
An Open Source Microarray Data Analysis System with GUI: Quintet
We address Quintet, an R-based unified cDNA microarray data analysis system with GUI. Five principal categories of microarray data analysis have been coherently integrated in Quin...
Jun-kyoung Choe, Tae-Hoon Chung, Sunyong Park, Hwa...
ICMLA
2010
14 years 9 months ago
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...