Name
Title | ||
|---|---|---|
How to improve robustness in Kohonen maps and display additional information in Factorial Analysis: Application to text mining. |
Abstract | ||
|---|---|---|
This article is an extended version of a paper presented in the WSOM׳2012 conference (Bourgeois et al., 2012 [1]). We display a combination of factorial projections, SOM algorithm and graph techniques applied to a text mining problem. The corpus contains eight medieval manuscripts which were used to teach arithmetic techniques to merchants. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.neucom.2013.12.057 | Neurocomputing |
Keywords | Field | DocType |
Text mining,Kohonen maps,Factorial Analysis,Middle ages scientific literature,Graphs | Text mining,Visualization,Computer science,Factorial,Factorial analysis,Self-organizing map,Robustness (computer science),Exploit,Artificial intelligence,Vocabulary,Machine learning | Journal |
Volume | ISSN | Citations |
147 | 0925-2312 | 3 |
PageRank | References | Authors |
0.39 | 9 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nicolas Bourgeois | 1 | 99 | 7.96 |
| Marie Cottrell | 2 | 38 | 5.27 |
| Benjamin Déruelle | 3 | 4 | 1.10 |
| Stéphane Lamassé | 4 | 4 | 1.77 |
| Patrick Letrémy | 5 | 121 | 10.08 |