A massively parallel architecture for a self-organizing neural pattern recognition machine
Computer Vision, Graphics, and Image Processing
An introduction to genetic algorithms
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Introduction to the theory of neural computation
Introduction to the theory of neural computation
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Computer
In search of optimal clusters using genetic algorithms
Pattern Recognition Letters
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Computers and Operations Research
Data Mining: Machine Learning, Statistics, and Databases
SSDBM '96 Proceedings of the Eighth International Conference on Scientific and Statistical Database Management
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Comparative analysis of fuzzy ART and ART-2A network clustering performance
IEEE Transactions on Neural Networks
Expert Systems with Applications: An International Journal
A recommender system using GA K-means clustering in an online shopping market
Expert Systems with Applications: An International Journal
A clustering method to identify representative financial ratios
Information Sciences: an International Journal
Mining customer knowledge for product line and brand extension in retailing
Expert Systems with Applications: An International Journal
Data & Knowledge Engineering
Mining stock category association and cluster on Taiwan stock market
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Mining demand chain knowledge of life insurance market for new product development
Expert Systems with Applications: An International Journal
A multi-stage collaborative filtering approach for mobile recommendation
Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication
Application of ant K-means on clustering analysis
Computers & Mathematics with Applications
A clustering method based on fuzzy equivalence relation for customer relationship management
Expert Systems with Applications: An International Journal
Evolutionary Fuzzy ARTMAP Neural Networks and their Applications to Fault Detection and Diagnosis
Neural Processing Letters
Expert Systems with Applications: An International Journal
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Expert Systems with Applications: An International Journal
Using the Taguchi method for effective market segmentation
Expert Systems with Applications: An International Journal
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Neural networks and genetic algorithms are useful for clustering analysis in data mining. Artificial neural networks (ANNs) and genetic algorithms (GAs) have been applied in many areas with very promising results. Thus, this study uses adaptive resonance theory 2 (ART2) neural network to determine an initial solution, and then applies genetic K-means algorithm (GKA) to find the final solution for analyzing Web browsing paths in electronic commerce (EC). The proposed method is compared with ART2 followed by K-means.In order to verify the proposed method, data from a Monte Carlo Simulation are used. The simulation results show that the ART2 + GKA is significantly better than the ART2 + K-means, both for mean within cluster variations and misclassification rate. A real-world problem, a recommendation agent system for a Web PDA company, is investigated. In this system, the browsing paths are used for clustering in order to analyze the browsing preferences of customers. These results also show that, based on the mean within-cluster variations, ART2 + GKA is much more effective.