Using decision tree for diagnosing heart disease patients
AusDM '11 Proceedings of the Ninth Australasian Data Mining Conference - Volume 121
Editorial: data mining in electronic commerce - support vs. confidence
Journal of Theoretical and Applied Electronic Commerce Research
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Data mining is such a hot topic that it has become an obscured buzzword. Data mining can be a powerful tool for extracting useful information from tons of data. But it can just as easily extract erroneous and useless information if it's not used correctly. Key to avoiding the pitfalls is a basic understanding of what data mining is and what things to consider in planning a data mining project. The steps in a data mining project include: integrating and cleaning or modifying the data sources, mining the data, examining and pruning the mining results, and reporting the final results