Visualizing Products and Consumers: A Gestalt Theory Inspired Method

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InCollection{Lobos2019,

• author = "Claudio Sanhueza Lobos and Natalie Jane {de Vries} and Mario Inostroza-Ponta and Regina Berretta and Pablo Moscato",
• title = "Visualizing Products and Consumers: A Gestalt Theory Inspired Method",
• booktitle = "Business and Consumer Analytics: New Ideas",
• publisher = "Springer International Publishing",
• year = "2019",
• editor = "Pablo Moscato and Natalie Jane {de Vries}",
• chapter = "16",
• pages = "661--689",
• keywords = "genetic algorithms, genetic programming, Memetic algorithm, Customer Churn, Effective visualizations, Quadratic assignment problem",
• isbn13 = "978-3-030-06222-4",
• URL = "http://hdl.handle.net/1959.13/1460520",
• DOI = "doi:10.1007/978-3-030-06222-4_16",
• abstract = "Motivated by the ability that visualisations have for explaining complex relationships, we revisit an alternative and efficient algorithm for visualizing relationships between objects. QAPgrid was proposed to solve the problem of allocating objects in a grid. The algorithm uses as its mathematical model the NP-hardNP-hard Quadratic assignment problem quadratic assignment Assignment Problem. We implemented an efficient AlgorithmmemeticMemetic algorithmMemetic Algorithm for solving the layout optimization problem. The algorithm has been previously tested on a variety of datasets with good results. In this chapter, we explore the algorithm's potential for analysing social networks. In particular, we examined the collaboration network created around the artificial world of the MarveluniverseMarvel Universe comic books. We show how the algorithm can generate accurate and informative visualizations for analysing complex graphs. Furthermore, to demonstrate an alternative use of the algorithm, we analyse and visualize products (wines) and customers (telecom clients). In doing so, we show how the algorithm is suitable for the analysis of different types of objects organized as a network.",
• notes = "also known as \cite{DBLP:books/sp/19/LobosVIBM19}",

}

Genetic Programming entries for Claudio Sanhueza Lobos Natalie Jane de Vries Mario Inostroza-Ponta Regina Berretta Pablo Moscato

Citations