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Improving customer churn prediction by data augmentation using pictorial stimulus-choice data

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Cover of 'Improving customer churn prediction by data augmentation using pictorial stimulus-choice data'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 A Strategic Perspective on Management Intelligent Systems
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    Chapter 2 Visualization of Agents and Their Interaction within Dynamic Environments
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    Chapter 3 Hybrid Genetic-Fuzzy System Modeling Application in Innovation Management
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    Chapter 4 Using Data Mining and Vehicular Networks to Estimate the Severity of Traffic Accidents
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    Chapter 5 ContextCare: Autonomous Video Surveillance System Using Multi-camera and Smartphones
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    Chapter 6 Clustering of Fuzzy Cognitive Maps for Travel Behavior Analysis
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    Chapter 7 Smart Objects System: A Generic System for Enhancing Operational Control
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    Chapter 8 Distributed Cognition Learning in Collaborative Civil Engineering Projects Management
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    Chapter 9 Designing Lines of Cars That Optimize the Degree of Differentiation vs. Commonality among Models in the Line: A Natural Intelligence Approach
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    Chapter 10 Semantic Web Mining for Book Recommendation
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    Chapter 11 An Automated Approach to Product Taxonomy Mapping in E-Commerce
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    Chapter 12 A Case-Based Planning Mechanism for a Hardware-Embedded Reactive Agents Platform
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    Chapter 13 A Linguistic Approach for Semantic Web Service Discovery
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    Chapter 14 Applying Multi-objective Optimization for Variable Selection to Analyze User Trust in Electronic Banking
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    Chapter 15 A Context-Aware Mobile Recommender System Based on Location and Trajectory
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    Chapter 16 Mark i S: A Marketing Intelligent System Software Application for Causal Modeling
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    Chapter 17 Prosaico: An Intelligent System for the Management of a Sports Facility
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    Chapter 18 Automatic Extraction of the Real Organizational Hierarchy Using JADE
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    Chapter 19 Integration of a Proximity Detection Prototype into a VO Developed with PANGEA
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    Chapter 20 Approximating the Pareto-front of Continuous Bi-objective Problems: Application to a Competitive Facility Location Problem
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    Chapter 21 Improving Customer Churn Prediction by Data Augmentation Using Pictorial Stimulus-Choice Data
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    Chapter 22 A Multiple-Agent Based System for Forecasting the Ice Cream Demand Using Climatic Information
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    Chapter 23 Manual Intervention and Statefulness in Agent-Involved Workflow Management Systems
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    Chapter 24 A Statistical Approach to Star Rating Classification of Sentiment
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    Chapter 25 Non-parametric Statistical Analysis of Machine Learning Methods for Credit Scoring
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    Chapter 26 Rule-Based Business Process Mining: Applications for Management
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    Chapter 27 A News-Based Approach for Computing Historical Value-at-Risk
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    Chapter 28 Gaussian Mixture Models vs. Fuzzy Rule-Based Systems for Adaptive Meta-scheduling in Grid/Cloud Computing
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    Chapter 29 Reduced Large Datasets by Fuzzy C-Mean Clustering Using Minimal Enclosing Ball
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    Chapter 30 Impact of Initial Tuning for Algorithm That Solve Query Routing
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    Chapter 31 Developing Anti-spam Filters Using Automatically Generated Rough Sets Rules
Attention for Chapter 16: Mark i S: A Marketing Intelligent System Software Application for Causal Modeling
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Chapter title
Mark i S: A Marketing Intelligent System Software Application for Causal Modeling
Chapter number 16
Book title
Management Intelligent Systems
Published by
Springer, Berlin, Heidelberg, January 2012
DOI 10.1007/978-3-642-30864-2_16
Book ISBNs
978-3-64-230863-5, 978-3-64-230864-2
Authors

Francisco J. Marín, Jorge Casillas, Francisco J. Martínez-López

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Unknown 1 50%
Readers by discipline Count As %
Business, Management and Accounting 1 50%
Unknown 1 50%