Forecasting with neural networks
Information and Management
MIS research: journal status assessment and analysis
Information and Management
Applications of machine learning and rule induction
Communications of the ACM
Knowledge management and data mining for marketing
Decision Support Systems - Knowledge management support of decision making
Automated Cellular Modeling and Prediction on a Large Scale
Artificial Intelligence Review - Issues on the application of data mining
Building Data Mining Applications for CRM
Building Data Mining Applications for CRM
Expert-Driven Validation of Rule-Based User Models in Personalization Applications
Data Mining and Knowledge Discovery
Finding Localized Associations in Market Basket Data
IEEE Transactions on Knowledge and Data Engineering
Helping Online Customers Decide through Web Personalization
IEEE Intelligent Systems
Data mining of association structures to model consumer behaviour
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Computers and Industrial Engineering
Combination of multiple classifiers for the customer's purchase behavior prediction
Decision Support Systems - Special issue: Agents and e-commerce business models
Customer Lifetime Value Models for Decision Support
Data Mining and Knowledge Discovery
Mining customer product ratings for personalized marketing
Decision Support Systems - Special issue: Web data mining
Itemset Trees for Targeted Association Querying
IEEE Transactions on Knowledge and Data Engineering
Building an Association Rules Framework to Improve Product Assortment Decisions
Data Mining and Knowledge Discovery
Enhancing Product Recommender Systems on Sparse Binary Data
Data Mining and Knowledge Discovery
An intelligent system for customer targeting: a data mining approach
Decision Support Systems
Integrating AHP and data mining for product recommendation based on customer lifetime value
Information and Management
Identifying Interesting Customers through Web Log Classification
IEEE Intelligent Systems
Mining Customer Value: From Association Rules to Direct Marketing
Data Mining and Knowledge Discovery
GHIC: A Hierarchical Pattern-Based Clustering Algorithm for Grouping Web Transactions
IEEE Transactions on Knowledge and Data Engineering
Multicampaign Assignment Problem
IEEE Transactions on Knowledge and Data Engineering
An e-customer behavior model with online analytical mining for internet marketing planning
Decision Support Systems
Digital Content Recommender on the Internet
IEEE Intelligent Systems
Fuzzy Web Ad Selector Based on Web Usage Mining
IEEE Intelligent Systems
Toward a successful CRM: variable selection, sampling, and ensemble
Decision Support Systems
Market basket analysis in a multiple store environment
Decision Support Systems
Segmenting Customers from Population to Individuals: Does 1-to-1 Keep Your Customers Forever?
IEEE Transactions on Knowledge and Data Engineering
Comprehensive data warehouse exploration with qualified association-rule mining
Decision Support Systems
Characterising Data Mining software
Intelligent Data Analysis
Toward a hybrid data mining model for customer retention
Knowledge-Based Systems
Computational Statistics & Data Analysis
Detection of the customer time-variant pattern for improving recommender systems
Expert Systems with Applications: An International Journal
Mining changes in customer buying behavior for collaborative recommendations
Expert Systems with Applications: An International Journal
On-line personalized sales promotion in electronic commerce
Expert Systems with Applications: An International Journal
Intelligent profitable customers segmentation system based on business intelligence tools
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Investigating the post-complaint period by means of survival analysis
Expert Systems with Applications: An International Journal
Mining action rules from scratch
Expert Systems with Applications: An International Journal
Visualization method for customer targeting using customer map
Expert Systems with Applications: An International Journal
Mining changes in customer behavior in retail marketing
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Targeting customers via discovery knowledge for the insurance industry
Expert Systems with Applications: An International Journal
Customer-adapted coupon targeting using feature selection
Expert Systems with Applications: An International Journal
Enabling customer relationship management in ISP services through mining usage patterns
Expert Systems with Applications: An International Journal
A Kansei mining system for affective design
Expert Systems with Applications: An International Journal
Assessing users' product-specific knowledge for personalization in electronic commerce
Expert Systems with Applications: An International Journal
A novel evolutionary data mining algorithm with applications to churn prediction
IEEE Transactions on Evolutionary Computation
Mining fuzzy association rules in a bank-account database
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Neural Networks
Data mining in soft computing framework: a survey
IEEE Transactions on Neural Networks
Expert Systems with Applications: An International Journal
Customer churn prediction by hybrid neural networks
Expert Systems with Applications: An International Journal
Discovering competitive intelligence by mining changes in patent trends
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
CRBT customer churn prediction: can data mining techniques work?
International Journal of Networking and Virtual Organisations
Churn prediction in telecom using a hybrid two-phase feature selection method
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Application of data mining techniques for customer lifetime value parameters: a review
International Journal of Business Information Systems
Concept-based learning of human behavior for customer relationship management
Information Sciences: an International Journal
Classification by clustering decision tree-like classifier based on adjusted clusters
Expert Systems with Applications: An International Journal
Classification by clustering decision tree-like classifier based on adjusted clusters
Expert Systems with Applications: An International Journal
Customer segmentation of multiple category data in e-commerce using a soft-clustering approach
Electronic Commerce Research and Applications
Customer portfolio analysis using the SOM
International Journal of Business Information Systems
Data mining algorithms and techniques research in CRM systems
MAMECTIS/NOLASC/CONTROL/WAMUS'11 Proceedings of the 13th WSEAS international conference on mathematical methods, computational techniques and intelligent systems, and 10th WSEAS international conference on non-linear analysis, non-linear systems and chaos, and 7th WSEAS international conference on dynamical systems and control, and 11th WSEAS international conference on Wavelet analysis and multirate systems: recent researches in computational techniques, non-linear systems and control
Manufacturing execution systems intellectualization: oil and gas implementation sample
MEDI'11 Proceedings of the First international conference on Model and data engineering
Dynamic classifier ensemble model for customer classification with imbalanced class distribution
Expert Systems with Applications: An International Journal
From information to operations: Service quality and customer retention
ACM Transactions on Management Information Systems (TMIS)
Segmenting customers by transaction data with concept hierarchy
Expert Systems with Applications: An International Journal
Identifying the signs of fraudulent accounts using data mining techniques
Computers in Human Behavior
Global data mining: An empirical study of current trends, future forecasts and technology diffusions
Expert Systems with Applications: An International Journal
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
Electronic Commerce Research and Applications
Modeling partial customer churn: On the value of first product-category purchase sequences
Expert Systems with Applications: An International Journal
Including spatial interdependence in customer acquisition models: A cross-category comparison
Expert Systems with Applications: An International Journal
Discovering business intelligence from online product reviews: A rule-induction framework
Expert Systems with Applications: An International Journal
Fuzzy data mining: a literature survey and classification framework
International Journal of Networking and Virtual Organisations
Distributed customer behavior prediction using multiplex data: A collaborative MK-SVM approach
Knowledge-Based Systems
Computers in Human Behavior
Direct marketing decision support through predictive customer response modeling
Decision Support Systems
Customer relationship management using partial focus feature reduction
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Domain driven data mining in human resource management: A review of current research
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Customer attrition in retailing: An application of Multivariate Adaptive Regression Splines
Expert Systems with Applications: An International Journal
Classification of switching intentions toward internet telephony services: a quantitative analysis
Information Technology and Management
Customer behavior analysis using rough set approach
Journal of Theoretical and Applied Electronic Commerce Research
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Mobile phone customer retention strategies and Chinese e-commerce
Electronic Commerce Research and Applications
Integration, optimization and usability of enterprise applications
Journal of Network and Computer Applications
Design of a feature-based order acceptance and scheduling module in an ERP system
Computers in Industry
Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks
Expert Systems with Applications: An International Journal
Exploring the role of customer relationship management (CRM) systems in customer knowledge creation
Information and Management
Expert Systems with Applications: An International Journal
International Journal of Strategic Information Technology and Applications
Review: Knowledge discovery in medicine: Current issue and future trend
Expert Systems with Applications: An International Journal
ACM SIGMOD Record
Hi-index | 12.09 |
Despite the importance of data mining techniques to customer relationship management (CRM), there is a lack of a comprehensive literature review and a classification scheme for it. This is the first identifiable academic literature review of the application of data mining techniques to CRM. It provides an academic database of literature between the period of 2000-2006 covering 24 journals and proposes a classification scheme to classify the articles. Nine hundred articles were identified and reviewed for their direct relevance to applying data mining techniques to CRM. Eighty-seven articles were subsequently selected, reviewed and classified. Each of the 87 selected papers was categorized on four CRM dimensions (Customer Identification, Customer Attraction, Customer Retention and Customer Development) and seven data mining functions (Association, Classification, Clustering, Forecasting, Regression, Sequence Discovery and Visualization). Papers were further classified into nine sub-categories of CRM elements under different data mining techniques based on the major focus of each paper. The review and classification process was independently verified. Findings of this paper indicate that the research area of customer retention received most research attention. Of these, most are related to one-to-one marketing and loyalty programs respectively. On the other hand, classification and association models are the two commonly used models for data mining in CRM. Our analysis provides a roadmap to guide future research and facilitate knowledge accumulation and creation concerning the application of data mining techniques in CRM.