Searching for authors named "James Dougherty" – sorted by Relevance.
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Data Mining using MLC++
- Data mining algorithmsincluding machine learning, statistical analysis, and pattern recognition techniques can greatly improve our understanding of data warehouses that are now becoming more widespread. In this paper, we focus on classification algorithms and review the need for multiple classificat
- Cited by 34 (0 self) – Add To MetaCart
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Data Mining using MLC++ -- A Machine Learning Library in C++
- Data mining algorithms including machine learning, statistical analysis, and pattern recognition techniques can greatly improve our understanding of data warehouses that are now becoming more widespread. In this paper, we focus on classification algorithms and review the need for multiple classifica
- Cited by 128 (17 self) – Add To MetaCart
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Supervised and Unsupervised Discretization of Continuous Features
- Many supervised machine learning algorithms require a discrete feature space. In this paper, we review previous work on continuous feature discretization, identify defining characteristics of the methods, and conduct an empirical evaluation of several methods. We compare binning, an unsupervised dis
- Cited by 307 (9 self) – Add To MetaCart
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Data Mining using
- Data mining algorithmsincluding machine learning, statistical analysis, and pattern recognition techniques can greatly improve our understanding of data warehouses that are now becoming more widespread. In this paper, we focus on classification algorithms and review the need for multiple classificat
- Add To MetaCart

