The following pages link to Principles of data mining. (Q884941):
Displaying 17 items.
- Guide to intelligent data analysis. How to intelligently make sense of real data (Q983128) (← links)
- Data mining and knowledge discovery via logic-based methods. Theory, algorithms, and applications. (Q986032) (← links)
- Properties of rule interestingness measures and alternative approaches to normalization of measures (Q1761616) (← links)
- Measures of rule interestingness in various perspectives of confirmation (Q1991877) (← links)
- Foundations and advances in data mining. (Q2566471) (← links)
- Data mining and statistical analysis using SQL (Q2740461) (← links)
- Handbook of data mining and knowledge discovery (Q2753182) (← links)
- An improved technique for privacy preserving clustering based on Daubechies-2 wavelet transform (Q2855828) (← links)
- Data mining. Theories, algorithms, and examples (Q2857681) (← links)
- Multicriteria Attractiveness Evaluation of Decision and Association Rules (Q3393395) (← links)
- (Q5152053) (← links)
- Data Mining and Knowledge Discovery Handbook (Q5188082) (← links)
- Data Mining and Knowledge Discovery Handbook (Q5714321) (← links)
- SEND: a novel dissimilarity metric using ensemble properties of the feature space for clustering numerical data (Q6065963) (← links)
- A novel variable precision rough set attribute reduction algorithm based on local attribute significance (Q6114046) (← links)
- Feature Selection: From the Past to the Future (Q6487264) (← links)
- A bi-variable precision rough set model and its application to attribute reduction (Q6495591) (← links)