Improvement of Thinking Theme Construction Algorithm Based on Analysis Question Clustering

Xuedong Gao (), Lei Zou () and Zengju Li ()
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Xuedong Gao: University of Science and Technology Beijing
Lei Zou: University of Science and Technology Beijing
Zengju Li: Bank Card Test Center

A chapter in LISS 2013, 2015, pp 579-583 from Springer

Abstract: Abstract To achieve intelligent data analysis, thinking theme construction technology is proposed. While current thinking theme construction algorithm is based on hierarchical clustering, the efficiency of which is far from acceptable with the increasing of number of analysis questions. This paper improves the efficiency of the algorithm based on density clustering. The experimental results with five datasets from complex network and one commercial theme data show that both of the clustering effectiveness and efficiency are improved.

Keywords: Analysis question; Thinking theme; Density-based clustering; Hierarchical clustering (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40660-7_85

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DOI: 10.1007/978-3-642-40660-7_85

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