Business and Consumer Analytics: New Ideas

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Moscato, Pablo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), de Vries, Natalie Jane (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Computers.; Management information systems.; Computer science-Mathematics.; Information Systems and Communication Service.; Business Information Systems.; Discrete Mathematics in Computer Science.

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 sectio...

Πίνακας περιεχομένων:

• 1 Marketing meets Data Science: Bridging the gap
• 2 Consumer behaviour and marketing fundamentals for business data analytics
• 3 Introducing Clustering with a focus in Marketing and Consumer Analytics
• 4 An Introduction to Proximity Graphs
• 5 Clustering consumers and cluster-specific behavioural models
• 6 Frequent Itemset Mining
• 7 Business Network Analytics: From Graphs to Supernetworks
• 8 Centrality in networks: Finding the most important nodes
• 9 Overlapping communities in co-purchasing and social interaction graphs: a memetic approach
• 10 Taming a Graph Hairball: Local Exploration in a Global Context
• 11 Network-based models for social recommender systems
• 12 Using Network Alignment to Identify Consumer Behaviour Modeling Constructs
• 13 Memetic Algorithms for Business Analytics and Data Science: A Brief Survey
• 14 A Memetic Algorithm for the Team Orienteering Problem
• 15 A Memetic Algorithm for Competitive Facility Location Problems
• 15 Visualizing Products and Consumers: A Gestalt Theory inspired method
• 16 Visualizing Products and Consumers: A Gestalt Theory inspired method
• 17 An overview of Meta-Analytics: The Promise of Unifying Metaheuristics and Analytics
• 18 From Ensemble Learning to Meta-Analytics: A Review on Trends in Business Applications
• 19 Metaheuristics and Classifier Ensembles
• 20 A Multi-objective Meta-Analytic Method for Customer Churn Prediction
• 21 Hotel classification using meta-analytics: a case study with cohesive clustering
• 22 Fuzzy clustering in travel and tourism analytics
• 23 Towards Personalized Data-Driven Bundle Design with QoS Constraint
• 24 A fuzzy evaluation of tourism sustainability
• 25 New Ideas in ranking for Personalised Fashion Recommender Systems
• 26 Datasets for Business and Consumer Analytics
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