Name
Title | ||
|---|---|---|
Experiences Using Clustering and Generalizations for Knowledge Discovery in Melanomas Domain |
Abstract | ||
|---|---|---|
One of the main goals in prevention of cutaneous melanoma is early diagnosis and surgical excision. Dermatologists work in order to define the dierent skin lesion types based on dermatoscopic features to improve early detection. We propose a method called SOMEX with the aim of helping experts to improve the characterization of dermatoscopic melanoma types. SOMEX combines clustering and generalization to per- form knowledge discovery. First, SOMEX uses Self-Organizing Maps to identify groups of similar melanoma. Second, SOMEX builds general descriptions of clusters applying the anti-unification concept. These de- scriptions can be interpreted as explanations of groups of melanomas. Experiments prove that explanations are very useful for experts to re- consider the characterization of melanoma classes. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-70720-2_5 | international conference on data mining |
Keywords | Field | DocType |
similar melanoma,knowledge discovery,self-organizing maps,knowl- edge discovery,anti-unification concept,early detection,cutaneous melanoma,melanoma class,melanoma,different skin lesion type,dermatologists work,explanations.,dermoscopy,dermatoscopic feature,melanomas domain,medicine,skin tumour,early diagnosis,dermatoscopic melanoma type,clustering | Data mining,Computer science,Knowledge extraction,Cluster analysis | Journal |
Volume | Issue | ISSN |
1 | 2 | 0302-9743 |
Citations | PageRank | References |
5 | 0.54 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Albert Fornells | 1 | 118 | 9.27 |
| elvira armengol | 2 | 5 | 0.54 |
| Elisabet Golobardes | 3 | 206 | 20.16 |
| salvador marti i puig | 4 | 5 | 0.54 |
| Joseph Malvehy | 5 | 6 | 1.23 |