Visualization Support System for Optimizing Parameters in Automated Search of Thematic Equity Funds
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 significan...
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Veröffentlicht in: | Journal of Signal Processing 2024/07/01, Vol.28(4), pp.155-160 |
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container_title | Journal of Signal Processing |
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creator | Dai, Ziyi Suzuki, Tomoya |
description | 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. |
doi_str_mv | 10.2299/jsp.28.155 |
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language | eng ; jpn |
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source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; J-STAGE (Japan Science & Technology Information Aggregator, Electronic) Freely Available Titles - Japanese |
subjects | Boundaries Clustering Searching Support systems Visualization |
title | Visualization Support System for Optimizing Parameters in Automated Search of Thematic Equity Funds |
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