Inheritance diagram for kddml.Core.DataMining.SequentialPatterns.SequenceModelManager:
Title: KDDML
Description: Knowledge Discovery in Database Environment
Copyright: Copyright (c) 2003-2005
Company: Universita' di Pisa - Dipartimento di Informatica
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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.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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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.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Adds a sequence to this model. If sequence is already contained in this model, or sequence support is not specified or is less than minimum support, sequence is not added. If sequence is added, sequence elements composing it are added too.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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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 not specified or is less than minimum support, sequence is not added. For each sequence added, sequence elements composing it are added too.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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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.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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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.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Removes a sequence from model. All referred rules are removed too.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Removes a set of sequences from model. All referred rules are removed too.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Checks if this model contain given rule.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Checks if this model contain given sequence
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Checks if this model contain given element
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Checks if this model contain givenitem
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Returns an iterator over all items in this model.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Returns an iterator over all sequence elements in this model.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Returns an iterator over all sequences in this model.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Returns an iterator over all sequence rules in this model.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Returns the number of transactions of input data used to build this model.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Returns the maximum number of items per transactions of input data used to build this model.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Returns the average number of items per transactions of input data used to build this model.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Returns minimum support of sequences.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Returns minimum confidence of sequence rules.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Returns the maximum length of a sequence to be discovered.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Returns the total number of items in this model.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Returns the total number of sequene elements in this model.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Returns the total number of sequenes in this model.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Returns the total number of sequene rules in this model.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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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.
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Returns the minimum time between items (see getTimeWindowWidth())
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Returns the maximum time between items (see getTimeWindowWidth())
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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Returns a representation of the sequences contained in the model as a set of instance. The table have a total number of instances given by the number of sequences, and 5 fields representing:
Implemented in kddml.Core.DataMining.SequentialPatterns.SequenceModel. |
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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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