Business and consumer analytics : new ideas /: new ideas. (2019)
- Record Type:
- Book
- Title:
- Business and consumer analytics : new ideas /: new ideas. (2019)
- Main Title:
- Business and consumer analytics : new ideas
- Further Information:
- Note: Editors, Pablo Moscato and Natalie Jane de Vries.
- Editors:
- Moscato, Pablo
Vries, Nathalie de, 1965- - Contents:
- 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.-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. … (more)
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2019
- Extent:
- 1 online resource
- Subjects:
- 658.8342
Consumers -- Research
BUSINESS & ECONOMICS / Industrial Management
BUSINESS & ECONOMICS / Management
BUSINESS & ECONOMICS / Management Science
BUSINESS & ECONOMICS / Organizational Behavior
Electronic books - Languages:
- English
- ISBNs:
- 9783030062224
3030062228 - Related ISBNs:
- 9783030062217
- Notes:
- Note: Online resource; title from PDF title page (EBSCO, viewed June 5, 2019)
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.430377
- Ingest File:
- 02_547.xml