From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Extreme programming of multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Systems Analysis and Design Methods 5e
Systems Analysis and Design Methods 5e
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
Modern Systems Analysis and Design
Modern Systems Analysis and Design
Vote prediction by iterative domain knowledge and attribute elimination
International Journal of Business Intelligence and Data Mining
A UML profile for the conceptual modelling of data-mining with time-series in data warehouses
Information and Software Technology
Testing terrorism theory with data mining
International Journal of Data Analysis Techniques and Strategies
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Data mining projects are complex and have a high failure rate. In order to improve the success rate of such projects it is not only important to follow a predefined life cycle but it is also vital to the overall success of the project to manage human resources and their involvement in data mining projects. This paper reports on research outcomes based on the development of a data mining life cycle in regards to human involvement. This area is often neglected during project planning and implementation. Throughout the paper a detailed study of the human resource involvement in a large scale data mining project has been carried out resulting in various matrices and diagrams that can support project management, IT managers and academic research.