Learning combination weights in data fusion using Genetic Algorithms. Issue 3 (May 2015)

• Record Type: Journal Article
• Authors: Ghosh, Kripabandhu; Parui, Swapan Kumar; Majumder, Prasenjit
• Is Part Of: Information processing & management. Volume 51:Issue 3(2015:May)
• Page Start: 306
• Page End: 328
• Publication Date: 2015-05
• Subjects: Information storage and retrieval systems -- Periodicals; Information science -- Periodicals; Systèmes d'information -- Périodiques; Sciences de l'information -- Périodiques; Information science; Information storage and retrieval systems; Periodicals; 658.4038
• DOI: 10.1016/j.ipm.2014.12.002
• Languages: English
• ISSNs: 0306-4573

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st130">Highlights</title> <sec> <p id="sp005"> <list id="l0005"> <list-item id="u0005"> <label></label> <p id="p0280">Genetic Algorithm is an effective scheme in determining data fusion weights.</p> </list-item> <list-item id="u0010"> <label></label> <p id="p0285">Tuning Genetic Algorithm increases time efficiency.</p> </list-item> <list-item id="u0015"> <label></label> <p id="p0290">Weight learning from only top ranked documents is useful.</p> </list-item> <list-item id="u0020"> <label></label> <p id="p0295">Redundant runs can be removed based on correlation between scores.</p> </list-item> </list> </p> </sec> </abstract>