{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:25:52Z","timestamp":1754155552140,"version":"3.41.2"},"reference-count":31,"publisher":"Emerald","issue":"10","license":[{"start":{"date-parts":[[2018,7,13]],"date-time":"2018-07-13T00:00:00Z","timestamp":1531440000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["K"],"published-print":{"date-parts":[[2018,10,30]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>This study aims to evaluate a new fusion technique of visual and textual clusters of objects from a real multimedia data-driven collection to improve the performance of multimedia applications.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>The authors focused on using multi-criteria for clustering texts and images. The algorithm consists of these steps: first is text representation using the statistical method of weighting, second is image representation using a bag of words feature descriptors methods and finally application of multi-criteria clustering.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>As an application for event detection based on social multimedia data, in particular, Flickr platform. Several experiments were conducted to choose the appropriate parameters for a better scheme of clustering. The new approach achieves better performance when aggregate text clustering is done with image clustering for event detection.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Research limitations\/implications<\/jats:title>\n<jats:p>Further researches would be investigated on other social media platforms such as Facebook and Twitter for a generalization of the technique.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>This study contributes to multimedia data mining through the new fusion technique of clustering. The technique has its root in such strong field as the field of multi-criteria clustering and decision-making support.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/k-01-2018-0030","type":"journal-article","created":{"date-parts":[[2018,7,13]],"date-time":"2018-07-13T06:47:38Z","timestamp":1531464458000},"page":"1973-1991","source":"Crossref","is-referenced-by-count":0,"title":["Multi-criteria-based fusion for clustering texts and images case study on Flickr"],"prefix":"10.1108","volume":"47","author":[{"given":"Nadjia","family":"Khatir","sequence":"first","affiliation":[]},{"given":"Safia","family":"Nait-bahloul","sequence":"additional","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2018,7,13]]},"reference":[{"first-page":"2","article-title":"Clustering art, in \u2018computer vision and pattern recognition, 2001","year":"2001","key":"key2021041509184472100_ref001"},{"key":"key2021041509184472100_ref002","first-page":"404","article-title":"Surf: speeded up robust 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