Pub. Date:
Springer Berlin Heidelberg
Marketing Intelligent Systems Using Soft Computing: Managerial and Research Applications / Edition 1

Marketing Intelligent Systems Using Soft Computing: Managerial and Research Applications / Edition 1


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Product Details

ISBN-13: 9783642156052
Publisher: Springer Berlin Heidelberg
Publication date: 09/30/2010
Series: Studies in Fuzziness and Soft Computing , #258
Edition description: 2010
Pages: 478
Product dimensions: 6.40(w) x 9.30(h) x 1.40(d)

Table of Contents

Essays.- Marketing and Artificial Intelligence: Great Opportunities, Reluctant Partners.- Data Mining and Scientific Knowledge: Some Cautions for Scholarly Researchers.- Observations on Soft Computing in Marketing.- Soft Computing Methods in Marketing: Phenomena and Management Problems.- User-Generated Content: The “Voice of the Customer” in the 21st Century.- Fuzzy Networks.- KDD: Applying in Marketing Practice Using Point of Sale Information.- Marketing – Sales Interface and the Role of KDD.- Segmentation and Targeting.- Applying Soft Cluster Analysis Techniques to Customer Interaction Information.- Marketing Intelligent System for Customer Segmentation.- Using Data Fusion to Enrich Customer Databases with Survey Data for Database Marketing.- Collective Intelligence in Marketing.- Marketing Modelling.- Predictive Modeling on Multiple Marketing Objectives Using Evolutionary Computation.- Automatic Discovery of Potential Causal Structures in Marketing Databases Based on Fuzzy Association Rules.- Fuzzy–Evolutionary Modeling of Customer Behavior for Business Intelligence.- Communication/Direct Marketing.- An Evaluation Model for Selecting Integrated Marketing Communication Strategies for Customer Relationship Management.- Direct Marketing Based on a Distributed Intelligent System.- Direct Marketing Modeling Using Evolutionary Bayesian Network Learning Algorithm.- Product.- Designing Optimal Products: Algorithms and Systems.- PRODLINE: Architecture of an Artificial Intelligence Based Marketing Decision Support System for PRODuct LINE Designs.- A Dempster-Shafer Theory Based Exposition of Probabilistic Reasoning in Consumer Choice.- E-Commerce.- Decision Making in Multiagent Web Services Based on Soft Computing.- Dynamic Price Forecasting in Simultaneous Online Art Auctions.- Analysing Incomplete Consumer Web Data Using the Classification and Ranking Belief Simplex (Probabilistic Reasoning and Evolutionary Computation).

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