Inheritance diagram for kddml.Core.DataMining.SequentialPatterns.SequenceModel:
Title: KDDML
Description: Knowledge Discovery in Database Environment
Copyright: Copyright (c) 2004
Company: Universita' di Pisa - Dipartimento di Informatica
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It returns the type of the object.
Implements kddml.Core.KDDMLObject. |
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Returns ture if the model do not contain sequences nor sequence rules.
Implements kddml.Core.KDDMLObject. |
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Save the object in the system repository. The destination path is provided by the object_path variable.
Implements kddml.Core.KDDMLObject. |
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Return a string representation of this object.
Reimplemented from kddml.Core.DataMining.MiningModel. |
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Saves the object in the system repository as HTML document.
Implements kddml.Core.HTMLTranslator. |
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Clones this model returning a new one. Model Returned is a shallow copy of this one (The elements themselves (items, sequence elements, sequences and sequence rules) are not cloned).
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Adds a sequence to this model. If sequence is already contained in this model, or sequence support is less than minimum support, sequence is not added. If sequence is added, sequence elements composing it are added too.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Adds a set of sequences to this model. If a sequence is already contained in this model, or it's support is less than minimum support, sequence is not added. For each sequence added, sequence elements composing it are added too.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Adds a rule to this model. If rule is already contained in this model, or confidence of rule is less than minimum confidence, or support of rule is less than minimum support, rule is not added. If rule is added, sequences composing it are added too.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Adds a set of rules to this model. If a rule is already contained in this model, or confidence of a rule is less than minimum confidence, or support of a rule is less than minimum support, rule is not added. For eacg rule added, sequences composing it are added too.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Removes a rule from model. Removing a rule from model doesn't affect sequences composing it, i.e. sequences are not removed.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Removes a set of rules from model. Removing a rule from model doesn't affect sequences composing it, i.e. sequences are not removed.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Removes a sequence from model. All referred rules are removed too.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Removes a set of sequences from model. All referred rules are removed too.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Checks if this model contain given rule.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Checks if this model contain given sequence.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Checks if this model contain given element.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Checks if this model contain givenitem
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Returns an iterator over all items in this model.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Returns an iterator over all sequence elements in this model.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Returns an iterator over all sequences in this model.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Returns an iterator over all sequence rules in this model.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Returns the number of transactions of input data used to build this model.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Returns the maximum number of items per transactions of input data used to build this model.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Returns the average number of items per transactions of input data used to build this model.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Returns minimum support of sequences.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Returns minimum confidence of sequence rules.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Returns the maximum length of a sequence to be discovered.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Returns the total number of items belonging to this model.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Returns the total number of sequence elements belonging to this model.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Returns the total number of sequences belonging to this model.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Returns the total number of sequence rules belonging to this model.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Returns the time window width: this may be used to separate items associated with an object into discrete events, but only if no clear key already exists for the separate events. Two consecutive items must have a time gap of less than this value to be considered as being part of the same event.
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Returns the minimum time between items (see getTimeWindowWidth())
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Returns the maximum time between items (see getTimeWindowWidth())
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Returns a representation of the sequences contained in the model as a set of instances. The table have a total number of instances given by the number of sequences, and 5 fields representing:
Implements kddml.Core.DataMining.SequentialPatterns.SequenceModelManager. |
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Max number of sequences that the model can contains. |
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Max number of sequence rules that the model can contains. |