Comparative study of clustering algorithms on textual databases

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Clustering of curricula vitae into comptency-based groups to support knowledge management

ISBN: 3639427823
ISBN 13: 9783639427820
Autor: Spiegler, Sebastian R
Verlag: AV Akademikerverlag
Umfang: 96 S.
Erscheinungsdatum: 20.06.2012
Auflage: 1/2012
Format: 0.6 x 22 x 15
Gewicht: 161 g
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 3841387 Kategorie:

Beschreibung

Revision with unchanged content. The large collection of Brazilian researcher`s curricula vitae held on the Lattes Platform provides a formidable base for the discovery of information about people`s skills, abilities and knowledge which is referred to as competencies. Results from the analysis of competencies can be applied in human resources, project management and the planning of on-the-job training in terms of how to enforce collaboration, how to build or modify teams and how to direct resources. The study builds on Knowledge Discovery in Textual Database (KDT) in order to analyze each step from data selection, term extraction and weighting to clustering and the interpretation toward knowledge management. For the division of an input dataset into a priori unknown competency-based groups two clustering algorithms have been implemented, namely the k-means algorithm and Kohonen Self-Organizing Maps (Kohonen- SOM). Two illustration techniques for competency-based groups as well as decision rules for the application of both algorithms will be presented.

Autorenporträt

2007 - present PhD studies, Machine Learning,Computer Science Dept., University of Bristol, UK2004 - 2007 Computer science and informationsystems, Federal University of Santa Catarina,Brazil 2000 - 2007 Diploma. Computer science andbusiness administration, Technical UniversityIlmenau, Germany

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