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Visualizing Products and Consumers: A Gestalt Theory Inspired Method.

, , , , and . Business and Consumer Analytics: New Ideas, Springer, (2019)

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Datasets for Business and Consumer Analytics., and . Business and Consumer Analytics: New Ideas, Springer, (2019)Relative Neighborhood Graphs Uncover the Dynamics of Social Media Engagement., , , , and . ADMA, volume 10086 of Lecture Notes in Computer Science, page 283-297. (2016)Engagement in Motion: Exploring Short Term Dynamics in Page-Level Social Media Metrics., , , , , and . BDCloud, page 334-341. IEEE Computer Society, (2014)Identifying Communities of Trust and Confidence in the Charity and Not-for-Profit Sector: A Memetic Algorithm Approach., , , , , and . BDCloud, page 500-507. IEEE Computer Society, (2014)Using Network Alignment to Identify Conserved Consumer Behaviour Modelling Constructs., , and . Business and Consumer Analytics: New Ideas, Springer, (2019)Consumer Behaviour and Marketing Fundamentals for Business Data Analytics., and . Business and Consumer Analytics: New Ideas, Springer, (2019)Clustering Consumers and Cluster-Specific Behavioural Models., , and . Business and Consumer Analytics: New Ideas, Springer, (2019)Visualizing Products and Consumers: A Gestalt Theory Inspired Method., , , , and . Business and Consumer Analytics: New Ideas, Springer, (2019)World's Best Universities and Personalized Rankings., , and . Handbook of Heuristics, Springer, (2018)Gauging Heterogeneity in Online Consumer Behaviour Data: A Proximity Graph Approach., , and . BDCloud, page 485-492. IEEE Computer Society, (2014)