Name
Abstract | ||
|---|---|---|
Extracting useful information from a very large amount of biomedical texts is an important and difficult activity in biomedicine field. Data to be examined are generally unstructured and the available computational resources do not still provide adequate mechanisms for retrieving and analyse very large amount of contents. In this paper we present a rule-based system for Text Mining process applied in biomedical textual documents. This application requires a strongly use of the computational resource to perform intensive operations. We propose a grid computing approach to improve application performance. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-85984-0_129 | ICIC (2) |
Keywords | Field | DocType |
text mining process,grid computing approach,adequate mechanism,computational resource,biomedical text,biomedical text mining,difficult activity,biomedical textual document,biomedicine field,application performance,large amount,available computational resource,grid computing,simd,rule based system,text mining,knowledge discovery | Data science,Text mining,Grid computing,Information retrieval,Computer science,SIMD,Biomedical text mining,Semantic grid,Knowledge extraction,Biomedicine,Computational resource | Conference |
Volume | ISSN | Citations |
5227 | 0302-9743 | 1 |
PageRank | References | Authors |
0.36 | 6 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marcello Castellano | 1 | 40 | 5.28 |
| G. Mastronardi | 2 | 167 | 26.29 |
| Giacinto Decataldo | 3 | 1 | 0.36 |
| Luca Pisciotta | 4 | 1 | 0.70 |
| Gianfranco Tarricone | 5 | 22 | 1.94 |
| Lucia Cariello | 6 | 32 | 2.88 |
| Vitoantonio Bevilacqua | 7 | 468 | 66.40 |