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in general and rule induction in detail are trying to create algorithms without human programming but with analyzing existing data structures. In the easiest case, a rule is expressed with “if-then statements” and was created with the
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Creating different algorithm and testing them with input data can be realized in the WEKA software. Additional tools are machine learning libraries for
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for decision tree learning. Rule learning algorithm are taking training data as input and creating rules by partitioning the table with
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in which formal rules are extracted from a set of observations. The rules extracted may represent a full
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Proceedings of the Tenth
International Joint Conference on Artificial Intelligence (IJCAI-87)
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Automating the Design of Data Mining
Algorithms: An Evolutionary Computation Approach
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Data Mining and
Knowledge Discovery Approaches Based on Rule Induction Techniques
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Data Mining and
Knowledge Discovery with Evolutionary Algorithms
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266:"Generating production rules from decision trees"
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256:." Machine learning: ECML-95 (1995): 343-346.
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254:Learning classification rules using lattices
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202:. Springer Science & Business Media.
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76:Some major rule induction paradigms are:
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196:Alex A. Freitas (11 November 2013).
129:Some rule induction algorithms are:
300:. You can help Knowledge (XXG) by
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275:. Milan, Italy. pp. 304–307.
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120:Boolean decomposition (Feldman)
89:algorithms (e.g., Quinlan 1987)
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271:. In McDermott, John (ed.).
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