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Comparative study of clustering algorithms on textual databases

 

Marketed By :  AV Akademikerverlag   Sold By :  Kamal Books International  
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  • Product Description
 

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.

Product Specifications
SKU :COC17699
AuthorKolja Kähler
LanguageEnglish
BindingPaperback
Number of Pages176
Publishing Year6/18/2012
ISBN978-3639427820
Edition1 st
Book TypeComputing & information technology
Country of ManufactureIndia
Product BrandAV Akademikerverlag
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-07-27 00:00:00