Journal of Signal Processing
Online ISSN : 1880-1013
Print ISSN : 1342-6230
ISSN-L : 1342-6230
Visualization Support System for Optimizing Parameters in Automated Search of Thematic Equity Funds
Ziyi DaiTomoya Suzuki
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2024 年 28 巻 4 号 p. 155-160

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In this study, we investigated the impact of relevance boundaries and common words on a fund search system, and constructed a fund search visualization system using density-based clustering, validating it across multiple topics. The results indicate that setting relevance boundaries has a significant impact on search results, and using a visualization system can effectively enhance the search efficiency.

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© 2024 Research Institute of Signal Processing, Japan
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