Interactive Two-Level WEBSOM for Organizational Exploration (2013)
AUTHORS:
Honkela Timo
,
Knapek Michael
BOOKTITLE:
Proceedings of ICANN 2013 - 23rd International Conference on Artificial Neural Networks
PAGES:
579-585
URL:
http://link.springer.com/chapter/10.1007%2F978-3-642-40728-4_72
@inproceedings{ HonkelaKnapek13, editor = {Mladenov, Valeri and Koprinkova-Hristova, Petia D. and Palm, G{\"u}nther and Villa, Alessandro E. P. and Apollini, Bruno and Kasabov, Nikola}, author = "Honkela, Timo and Knapek, Michael", responsibleauthor = "Timo Honkela", eventtime = "September 10-13", isbn = "978-3-642-40727-7", language = "en", title = "Interactive Two-Level {WEBSOM} for Organizational Exploration", eventlocation = "Sofia, Bulgaria", booktitle = "Proceedings of ICANN 2013 - 23rd International Conference on Artificial Neural Networks", abstract = "Among the large number of applications of the self-organizing map (SOM) algorithm, creating maps of document collections have become commonplace since the introduction of the WEBSOM system. This article presents a novel development in WEBSOM research. The Interactive Two-Level WEBSOM, I2WEBSOM, includes two main components, a map of terms, and a dynamic map of documents. The map of terms is used to enable interactive feature selection and weighting. The map of documents is calculated using terminology-based feature vectors where their weights can be changed using the first-level map. In the experimental part, we focus on the application of creating maps of people based on their interest or competence profiles.", juforank = "NA", url = "http://link.springer.com/chapter/10.1007%2F978-3-642-40728-4_72", flags = "COG Tsom Tinfo", il = "no", eventdetails = "September 10-13, Sofia, Bulgaria", year = "2013", unitcode = "T306-100", kay = "NA", impactfactor = "A4", pages = "579-585" }