Searching for "Reasoning on Association Rules." – sorted by Relevance.
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Logic-based Knowledge Discovery in Databases
- association rule mining with deduction, or reasoning: reasoning on the temporal dimension, reasoning
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Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data
- of work are association rules [1]. This tradition typically aims at discovering frequently occurring
- Cited by 9 (2 self) – Add To MetaCart
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Approach for Association Rule Mining
- , shows severe limitations. The reason is that association rules are based on correlations and even
- Cited by 11 (0 self) – Add To MetaCart
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A Multi-Tier Architecture for High Performance Data Mining
- the database. This is the reason why most of the algorithms in the literature for mining association rules deal
- Cited by 1 (0 self) – Add To MetaCart
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A Group-based Inference Approach to Customized Marketing on the Web - Integrating Clustering and
- reason is that association rules can avoid the stochastic problem since they calculate the proportion
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MVC - A Preprocessing Method to Deal With Missing Values
- is that it is not an easy task to discover relations in data containing missing values. The association rules algorithms [2
- Cited by 19 (5 self) – Add To MetaCart
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Data Mining of Association Rules and the Process of Knowledge Discovery in Databases
- at rst glance. The reason is that association rules are based on correlations and do not necessarily
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Efficient Construction of Regression Trees with Range and Region Splitting
- is that association rules and tests used in decision trees can be directly expressed as stan- dard relational database
- Cited by 10 (2 self) – Add To MetaCart
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E cient Construction of Regression Trees with Range and Region Splitting 3
- . Another important reason is that association rules and tests used in decision trees can be directly
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