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Title: Using the Agglomerative Method of Hierarchical Clustering as a Data Mining Tool in Capital Market
Authors: Marinova–Boncheva, Vera
Keywords: Data Mining
Knowledge Discovery
Agglomerative Hierarchical Clustering
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: The purpose of this paper is to explain the notion of clustering and a concrete clustering method- agglomerative hierarchical clustering algorithm. It shows how a data mining method like clustering can be applied to the analysis of stocks, traded on the Bulgarian Stock Exchange in order to identify similar temporal behavior of the traded stocks. This problem is solved with the aid of a data mining tool that is called XLMiner™ for Microsoft Excel Office.
ISSN: 1313-0463
Appears in Collections:Volume 15 Number 4

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