Business and Consumer Analytics: New Ideas

Description

This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies. The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook. Front Matter ....Pages i-xviii Front Matter ....Pages 1-1 Marketing Meets Data Science: Bridging the Gap (Pablo Moscato, Natalie Jane de Vries)....Pages 3-117 Consumer Behaviour and Marketing Fundamentals for Business Data Analytics (Natalie Jane de Vries, Pablo Moscato)....Pages 119-162 Front Matter ....Pages 163-163 Introducing Clustering with a Focus in Marketing and Consumer Analysis (Natalie Jane de Vries, Łukasz P. Olech, Pablo Moscato)....Pages 165-212 An Introduction to Proximity Graphs (Luke Mathieson, Pablo Moscato)....Pages 213-233 Clustering Consumers and Cluster-Specific Behavioural Models (Natalie Jane de Vries, Jamie Carlson, Pablo Moscato)....Pages 235-267 Frequent Itemset Mining (Massimo Cafaro, Marco Pulimeno)....Pages 269-304 Front Matter ....Pages 305-305 Business Network Analytics: From Graphs to Supernetworks (Pablo Moscato)....Pages 307-400 Centrality in Networks: Finding the Most Important Nodes (Sergio Gómez)....Pages 401-433 Overlapping Communities in Co-purchasing and Social Interaction Graphs: A Memetic Approach (Ademir Gabardo, Regina Berretta, Pablo Moscato)....Pages 435-466 Taming a Graph Hairball: Local Exploration in a Global Context (James Abello, Daniel Mawhirter, Kevin Sun)....Pages 467-490 Network-Based Models for Social Recommender Systems (Antonia Godoy-Lorite, Roger Guimerà, Marta Sales-Pardo)....Pages 491-512 Using Network Alignment to Identify Conserved Consumer Behaviour Modelling Constructs (Luke Mathieson, Natalie Jane de Vries, Pablo Moscato)....Pages 513-541 Front Matter ....Pages 543-543 Memetic Algorithms for Business Analytics and Data Science: A Brief Survey (Pablo Moscato, Luke Mathieson)....Pages 545-608 A Memetic Algorithm for the Team Orienteering Problem (Dimitra Trachanatzi, Eleftherios Tsakirakis, Magdalene Marinaki, Yannis Marinakis, Nikolaos Matsatsinis)....Pages 609-635 A Memetic Algorithm for Competitive Facility Location Problems (Benjamin Biesinger, Bin Hu, Günther R. Raidl)....Pages 637-660 Visualizing Products and Consumers: A Gestalt Theory Inspired Method (Claudio Sanhueza Lobos, Natalie Jane de Vries, Mario Inostroza-Ponta, Regina Berretta, Pablo Moscato)....Pages 661-689 Front Matter ....Pages 691-691 An Overview of Meta-Analytics: The Promise of Unifying Metaheuristics and Analytics (Fred Glover, Carlos Cotta)....Pages 693-702 From Ensemble Learning to Meta-Analytics: A Review on Trends in Business Applications (Mohammad Nazmul Haque, Pablo Moscato)....Pages 703-731 Metaheuristics and Classifier Ensembles (Ringolf Thomschke, Stefan Voß, Stefan Lessmann)....Pages 733-779 A Multi-objective Meta-Analytic Method for Customer Churn Prediction (Mohammad Nazmul Haque, Natalie Jane de Vries, Pablo Moscato)....Pages 781-813 Hotel Classification Using Meta-Analytics: A Case Study with Cohesive Clustering (Buyang Cao, Cesar Rego, Fred Glover)....Pages 815-836 Front Matter ....Pages 837-837 Fuzzy Clustering in Travel and Tourism Analytics (Pierpaolo D’Urso, Marta Disegna, Riccardo Massari)....Pages 839-863 Towards Personalized Data-Driven Bundle Design with QoS Constraint (Mustafa Mısır, Hoong Chuin Lau)....Pages 865-909 A Fuzzy Evaluation of Tourism Sustainability (Joseph Andria, Giacomo di Tollo, Raffaele Pesenti)....Pages 911-932 New Ideas in Ranking for Personalized Fashion Recommender Systems (Heri Ramampiaro, Helge Langseth, Thomas Almenningen, Herman Schistad, Martin Havig, Hai Thanh Nguyen)....Pages 933-961 Front Matter ....Pages 963-963 Datasets for Business and Consumer Analytics (Natalie Jane de Vries, Pablo Moscato)....Pages 965-987 Back Matter ....Pages 989-1005