4. Let = 3. Generate the frequent 1-itemsets.
5. Let = 3. Generate the frequent 2-itemsets.
6. Let = 3. Generate the frequent 3-itemsets.
7. Using 75% minimum confidence and 20% minimum support, generate one-antecedent association rules for predicting play.
Jul
11
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1. Jiawei Han and Micheline Kamber, Data Mining Concepts and Techniques, Morgan Kaufmann, San Francisco, CA, 2001.
2. David Hand, Heikki Mannila, and Padhraic Smith, Principles of Data Mining, MIT Press, Cambridge, MA, 2001.
3. Padhraic Smyth and Rodney M. Goodman, An information theoretic approach to rule induction from databases, IEEE Transactions on Knowledge and Data Engineering, [...]
Jul
8
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Jul
5
Finally, data analysts need to consider the difference between models and patterns. A model is a global description or explanation of a data set, taking a high-level perspective. Models may be descriptive or inferential. Descriptive models seek to summarize the entire data set in a succinct manner. Inferential models aim to provide a mechanism that [...]
Jul
2
Before we leave the subject of association rules, let us touch on a fewtopics of interest. First, we may ask whether association rules represent supervised or unsupervised learning. Recall that most data mining methods represent supervised learning, since (1) a target variable is prespecified, and (2) the algorithm is provided with a rich collection of [...]
