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Oracle Data Mining Java API Reference 10g Release 1 (10.1) B12276-01 | |||||||||
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This package contains Java classes representing mining rules.
See:
Description
| Interface Summary | |
| MiningRuleSet | The interface MiningRuleSet provides methods to support retrieval of rules from the Association Rules model, the Adaptive Bayes Network model, and the Clustering model. |
| Class Summary | |
| ABNMiningRule | An instance of ABNMiningRule represents a rule as produced from the Adaptive Bayes Network Model. |
| BooleanPredicate | An instance of BooleanPredicate always returns the value TRUE. |
| CompoundPredicate | An instance of CompundPredicate is a set of predicates connected by logical operators. |
| ItemValue | An instance of ItemValue represents an item used in the Association Rules model and supports MiningRule by providing item data in an itemset. |
| MiningRule | An instance of MiningRule represents a rule as produced from the Association Rules model, the Adaptive Bayes Network model, or the Clustering model. |
| Predicate | The abstract class Predicate is the common superclass for SimplePredicate, BooleanPredicate, and CompoundPredicate. |
| PredicateRuleComponent | An instance of PredicateRuleComponent consists of a predicate - simple, boolean or compound. |
| RuleAnnotation | An instance of RuleAnnotation supports extensible annotations on a MiningRule. |
| RuleComponent | An instance of RuleComponent can be used as an antecedent or consequent of a MiningRule instance. |
| SimplePredicate | An instance of SimplePredicate consists of a single comparison between a mining attribute value and a set of constants. |
| TargetItem | An instance of TargetItem represents a target value and its probability and count. |
This package contains Java classes representing mining rules. Each mining rules consists of antecedents and consequents of type RuleComponent, each of which contains an itemset and its support. The rules in an AssociationRulesModel can be retrieved as MiningRule objects in the form of itemsets. On the other hand, the rules in an AdaptiveBayesNetworkModel can be retrieved as MiningRule objects in the form of predicates.
An itemset is a set of ItemValue objects. Oracle9i Data Mining defines three types of predicates:
SimplePredicate: A predicate of form A op B, where op is an instance of ComparisonFunction.BooleanPredicate: A boolean valueCompoundPredicate: A non-empty set of SimplePredicate objects.
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