Abstract
The growing number of commercial Internet-based data mining service providers is indicative of the emerging trend of data mining application services. It validates the recognition that knowledge is a key resource in strategic organisational decision-making. The trend also establishes that the Application Service Provider (ASP) paradigm is seen as a cost-effective approach to meet the business intelligence needs of small to medium range organisations that are the most constrained by the high cost of niche software technologies. An important issue in a service context is the optimization of performance in terms of throughput and response time. The paper presents a hybrid distributed data mining (DDM) model that improves the overall response time.
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