A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Online Writing Data Representation: A Graph Theory Approach
Tekijät: Caporossi Gilles, Leblay Christophe
Kustantaja: Springer
Kustannuspaikka: Heidelberg, Dordrecht, London, New York
Julkaisuvuosi: 2011
Journal: Lecture Notes in Computer Science
Kokoomateoksen nimi: Advances in Intelligent Data Analysis X
Tietokannassa oleva lehden nimi: ADVANCES IN INTELLIGENT DATA ANALYSIS X
Lehden akronyymi: LECT NOTES COMPUT SC
Vuosikerta: 7014
Aloitussivu: 80
Lopetussivu: 89
Sivujen määrä: 10
ISBN: 978-3-642-24799-6
ISSN: 0302-9743
DOI: https://doi.org/10.1007/978-3-642-24800-9_10
Verkko-osoite: http://www.springerlink.com/content/3l4m00qm5334t628/fulltext.pdf
There are currently several systems to collect online writing data in keystroke logging. Each of these systems provides reliable and very precise data. Unfortunately, due to the large amount of data recorded, it is almost impossible to analyze except for very limited recordings. In this paper, we propose a representation technique based upon graph theory that provides a new viewpoint to understand the writing process. The current application is aimed at representing the data provided by Script Log although the concepts can be applied in other contexts.
