A Framework for Genetic-Based Fusion of Similarity Measures in Chemical Compound Retrieval
Abstract In chemical compound retrieval, much data fusion effort has been made to combine results from multiple similarities searching system. A fundamental problem in the data fusion approach is how to optimally combine the results obtained from various retrieval systems since there is no known gui...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2005
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| Online Access: | http://eprints.utm.my/408/ http://eprints.utm.my/408/2/03.pdf |
| _version_ | 1848889916076851200 |
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| author | Salim, Naomie Mulyadi, Mercy Trinovianti |
| author_facet | Salim, Naomie Mulyadi, Mercy Trinovianti |
| author_sort | Salim, Naomie |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | Abstract In chemical compound retrieval, much data fusion effort has been made to combine results from multiple similarities searching system. A fundamental problem in the data fusion approach is how to optimally combine the results obtained from various retrieval systems since there is no known guideline on the best fusion model that works for all type of data and activity .This paper proposes a framework of data fusion approach based on linear combinations of retrieval status values obtained from Vector Space Model and Probability Model system. A Genetic Algorithm(GA)-based approach is used to find the best linear combination of weights assigned to the scores of different retrieval system to get the most optimal retrieval performance. |
| first_indexed | 2025-11-15T20:33:46Z |
| format | Conference or Workshop Item |
| id | utm-408 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:33:46Z |
| publishDate | 2005 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-4082017-08-29T07:17:29Z http://eprints.utm.my/408/ A Framework for Genetic-Based Fusion of Similarity Measures in Chemical Compound Retrieval Salim, Naomie Mulyadi, Mercy Trinovianti Abstract In chemical compound retrieval, much data fusion effort has been made to combine results from multiple similarities searching system. A fundamental problem in the data fusion approach is how to optimally combine the results obtained from various retrieval systems since there is no known guideline on the best fusion model that works for all type of data and activity .This paper proposes a framework of data fusion approach based on linear combinations of retrieval status values obtained from Vector Space Model and Probability Model system. A Genetic Algorithm(GA)-based approach is used to find the best linear combination of weights assigned to the scores of different retrieval system to get the most optimal retrieval performance. 2005-09 Conference or Workshop Item NonPeerReviewed application/pdf en http://eprints.utm.my/408/2/03.pdf Salim, Naomie and Mulyadi, Mercy Trinovianti (2005) A Framework for Genetic-Based Fusion of Similarity Measures in Chemical Compound Retrieval. In: International Symposium On Bio-Inspired Computing, 5 - 7 September 2005, Puteri Pan Pacific Hotel Johor Bahru. (Unpublished) https://books.google.com.my/books/about/Proceedings_of_the_1st_International_Sym.html?id=UnlXoAEACAAJ&redir_esc=y |
| spellingShingle | Salim, Naomie Mulyadi, Mercy Trinovianti A Framework for Genetic-Based Fusion of Similarity Measures in Chemical Compound Retrieval |
| title | A Framework for Genetic-Based Fusion of Similarity Measures in Chemical Compound Retrieval |
| title_full | A Framework for Genetic-Based Fusion of Similarity Measures in Chemical Compound Retrieval |
| title_fullStr | A Framework for Genetic-Based Fusion of Similarity Measures in Chemical Compound Retrieval |
| title_full_unstemmed | A Framework for Genetic-Based Fusion of Similarity Measures in Chemical Compound Retrieval |
| title_short | A Framework for Genetic-Based Fusion of Similarity Measures in Chemical Compound Retrieval |
| title_sort | framework for genetic-based fusion of similarity measures in chemical compound retrieval |
| url | http://eprints.utm.my/408/ http://eprints.utm.my/408/ http://eprints.utm.my/408/2/03.pdf |