Name
Abstract | ||
|---|---|---|
The paper describes an application of a fuzzy one-class classifier (FOC ) for the identification of different signal patterns embedded in a noise structured background. The classification phase is applied after a preprocessing phase based on a Multi Layer Model (MLM ) that provides a preliminary signal segmentation in an interval feature space. The FOC has been tested on synthetic and real microarray data in the specific problem of DNA nucleosome and linker regions identification. Results have shown, in both cases, a good recognition rate. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-02282-1_16 | WILF |
Keywords | Field | DocType |
good recognition rate,different signal pattern,classification phase,dna nucleosome,preprocessing phase,linker regions identification,preliminary signal segmentation,interval feature space,class classifier,fuzzy one-class classifier,multi layer model,microarray data,feature space | Data mining,Feature vector,Multi layer,Pattern recognition,Computer science,Segmentation,Fuzzy logic,Preprocessor,Artificial intelligence,Classifier (linguistics),Machine learning | Conference |
Volume | ISSN | Citations |
5571 | 0302-9743 | 2 |
PageRank | References | Authors |
0.38 | 8 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giosuè Lo Bosco | 1 | 153 | 18.36 |
| Luca Pinello | 2 | 49 | 7.71 |