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ORCIDBusiness and Consumer Analytics: New Ideas, 2019
- Pablo Moscato, Natalie Jane de Vries:
Business and Consumer Analytics: New Ideas. Springer 2019, ISBN 978-3-030-06221-7
Introduction
- Pablo Moscato, Natalie Jane de Vries:
Marketing Meets Data Science: Bridging the Gap. 3-117 - Natalie Jane de Vries, Pablo Moscato:
Consumer Behaviour and Marketing Fundamentals for Business Data Analytics. 119-162
Segmentation, Clustering and Pattern Mining
- Natalie Jane de Vries, Lukasz P. Olech, Pablo Moscato:
Introducing Clustering with a Focus in Marketing and Consumer Analysis. 165-212 - Luke Mathieson, Pablo Moscato:
An Introduction to Proximity Graphs. 213-233 - Natalie Jane de Vries, Jamie Carlson
, Pablo Moscato:
Clustering Consumers and Cluster-Specific Behavioural Models. 235-267 - Massimo Cafaro, Marco Pulimeno:
Frequent Itemset Mining. 269-304
Networks and Community Detection
- Pablo Moscato:
Business Network Analytics: From Graphs to Supernetworks. 307-400 - Sergio Gómez:
Centrality in Networks: Finding the Most Important Nodes. 401-433 - Ademir C. Gabardo, Regina Berretta, Pablo Moscato:
Overlapping Communities in Co-purchasing and Social Interaction Graphs: A Memetic Approach. 435-466 - James Abello, Daniel Mawhirter, Kevin Sun:
Taming a Graph Hairball: Local Exploration in a Global Context. 467-490 - Antonia Godoy-Lorite, Roger Guimerà, Marta Sales-Pardo:
Network-Based Models for Social Recommender Systems. 491-512 - Luke Mathieson, Natalie Jane de Vries, Pablo Moscato:
Using Network Alignment to Identify Conserved Consumer Behaviour Modelling Constructs. 513-541
Memetic Algorithms
- Pablo Moscato, Luke Mathieson:
Memetic Algorithms for Business Analytics and Data Science: A Brief Survey. 545-608 - Dimitra Trachanatzi, Eleftherios Tsakirakis, Magdalene Marinaki, Yannis Marinakis, Nikolaos F. Matsatsinis:
A Memetic Algorithm for the Team Orienteering Problem. 609-635 - Benjamin Biesinger, Bin Hu, Günther R. Raidl:
A Memetic Algorithm for Competitive Facility Location Problems. 637-660 - Claudio Sanhueza Lobos, Natalie Jane de Vries, Mario Inostroza-Ponta, Regina Berretta, Pablo Moscato:
Visualizing Products and Consumers: A Gestalt Theory Inspired Method. 661-689
Meta-Analytics
- Fred W. Glover, Carlos Cotta:
An Overview of Meta-Analytics: The Promise of Unifying Metaheuristics and Analytics. 693-702 - Mohammad Nazmul Haque, Pablo Moscato:
From Ensemble Learning to Meta-Analytics: A Review on Trends in Business Applications. 703-731 - Ringolf Thomschke, Stefan Voß, Stefan Lessmann:
Metaheuristics and Classifier Ensembles. 733-779 - Mohammad Nazmul Haque, Natalie Jane de Vries, Pablo Moscato:
A Multi-objective Meta-Analytic Method for Customer Churn Prediction. 781-813 - Buyang Cao, César Rego, Fred W. Glover:
Hotel Classification Using Meta-Analytics: A Case Study with Cohesive Clustering. 815-836
Data Science Applications in Travel and Fashion Analytics
- Pierpaolo D'Urso, Marta Disegna, Riccardo Massari:
Fuzzy Clustering in Travel and Tourism Analytics. 839-863 - Mustafa Misir, Hoong Chuin Lau:
Towards Personalized Data-Driven Bundle Design with QoS Constraint. 865-909 - Joseph Andria, Giacomo di Tollo, Raffaele Pesenti:
A Fuzzy Evaluation of Tourism Sustainability. 911-932 - Heri Ramampiaro, Helge Langseth, Thomas Almenningen, Herman Schistad, Martin Havig, Hai Thanh Nguyen:
New Ideas in Ranking for Personalized Fashion Recommender Systems. 933-961
Appendix
- Natalie Jane de Vries, Pablo Moscato:
Datasets for Business and Consumer Analytics. 965-987
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