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CEC
2007
IEEE
13 years 11 months ago
Evolving hypernetwork classifiers for microRNA expression profile analysis
Abstract-- High-throughput microarrays inform us on different outlooks of the molecular mechanisms underlying the function of cells and organisms. While computational analysis for ...
Sun Kim, Soo-Jin Kim, Byoung-Tak Zhang
DAWAK
2006
Springer
13 years 11 months ago
Learning Classifiers from Distributed, Ontology-Extended Data Sources
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of large, autonomous (and hence, inevitably semantically heterogeneous) data source...
Doina Caragea, Jun Zhang 0002, Jyotishman Pathak, ...
IDEAL
2000
Springer
13 years 11 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
INCDM
2010
Springer
152views Data Mining» more  INCDM 2010»
13 years 11 months ago
Spam Email Filtering Using Network-Level Properties
Abstract. Spam is serious problem that affects email users (e.g. phishing attacks, viruses and time spent reading unwanted messages). We propose a novel spam email filtering appr...
Paulo Cortez, André Correia, Pedro Sousa, M...
AAAI
2007
13 years 10 months ago
The Impact of Time on the Accuracy of Sentiment Classifiers Created from a Web Log Corpus
We investigate the impact of time on the predictability of sentiment classification research for models created from web logs. We show that sentiment classifiers are time dependen...
Kathleen T. Durant, Michael D. Smith