Comparative Study of Clustering Algorithms on Textual Databases - Clustering of Curricula Vitae into Comptency-based Groups to Support Knowledge Management - Sebastian R. Spiegler - Books - VDM Verlag Dr. Mueller e.K. - 9783836448796 - November 21, 2007
In case cover and title do not match, the title is correct

Comparative Study of Clustering Algorithms on Textual Databases - Clustering of Curricula Vitae into Comptency-based Groups to Support Knowledge Management

Sebastian R. Spiegler

Price
₺ 2,299
excl. VAT

Ordered from remote warehouse

Expected delivery Jul 30 - Aug 12
Add to your iMusic wish list

Comparative Study of Clustering Algorithms on Textual Databases - Clustering of Curricula Vitae into Comptency-based Groups to Support Knowledge Management

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.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released November 21, 2007
ISBN13 9783836448796
Publishers VDM Verlag Dr. Mueller e.K.
Pages 96
Dimensions 167 g
Language English