Article

# A Fast Algorithm for Finding Matching Responses in a Survey Data Table

Byrej 269, 2650 Hvidovre, Copenhagen, Denmark
(Impact Factor: 0.46). 03/1995; 30:195-205. DOI: 10.1016/0165-4896(95)00780-P
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ABSTRACT

The paper addresses an algorithm to perform an analysis on survey data tables with some irreliable entries. The algorithm has almost linear complexity depending on the number of elements in the table. The proposed technique is based on a monotonicity property. An implementation procedure of the algorithm contains a recommendation that might be realistic for clarifying the analysis results. Keywords: Survey; Boolean; Data Table; Matrix. 1.

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Available from: Joseph Emmanuel Mullat, Feb 05, 2012
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• "These functions are known as quasi-concave set functions. Such a set function can be maximized by a greedy type algorithm over the family of all subsets of E [19],[24],[29],[30],[34], over antimatroids and convex geometries [17], [20], [25], joinsemilattices [28] and meet-semilattices [21]. A relationship was also established between submodular and quasi-concave functions [28] that allowed to build series of branch and bound procedures for finding maximum of submodular functions. "
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