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## weka.associations
Class GeneralizedSequentialPatterns

    java.lang.Object
      weka.associations.AbstractAssociator
          weka.associations.GeneralizedSequentialPatterns

All Implemented Interfaces:
  java.io.Serializable, java.lang.Cloneable, Associator, CapabilitiesHandler, OptionHandler, RevisionHandler, TechnicalInformationHandler

    public class GeneralizedSequentialPatterns

extends AbstractAssociator
implements OptionHandler, TechnicalInformationHandler

Class implementing a GSP algorithm for discovering sequential patterns in a sequential data set.
The attribute identifying the distinct data sequences contained in the set can be determined by the respective option. Furthermore, the set of output results can be restricted by specifying one or more attributes that have to be contained in each element/itemset of a sequence.
For further information see:
Ramakrishnan Srikant, Rakesh Agrawal (1996). Mining Sequential Patterns: Generalizations and Performance Improvements.

BibTeX:

     @proceedings{Srikant1996,
        author = {Ramakrishnan Srikant and Rakesh Agrawal},
        booktitle = {Advances in Database Technology EDBT '96},
        publisher = {Springer},
        title = {Mining Sequential Patterns: Generalizations and Performance Improvements},
        year = {1996}
     }

Valid options are:

     -D
      If set, algorithm is run in debug mode and
      may output additional info to the console

     -S <minimum support threshold>
      The miminum support threshold.
      (default: 0.9)

     -I <attribute number representing the data sequence ID
      The attribute number representing the data sequence ID.
      (default: 0)

     -F <attribute numbers used for result filtering
      The attribute numbers used for result filtering.
      (default: -1)

Version:
  $Revision: 5504 $
Author:
  Sebastian Beer
See Also:
  Serialized Form

Constructor Summary
`GeneralizedSequentialPatterns()` Constructor.

Method Summary
`void` | `buildAssociations(Instances data)` Extracts all sequential patterns out of a given sequential data set and prints out the results.
`java.lang.String` | `dataSeqIDTipText()` Returns the dataSeqID option tip text for the Weka GUI.
`java.lang.String` | `debugTipText()` Returns the tip text for this property
`void` | `extractFilterAttributes(java.lang.String attrNumbers)` Parses a given String containing attribute numbers which are used for result filtering.
`java.lang.String` | `filterAttributesTipText()` Returns the filterAttributes option tip text for the Weka GUI.
`java.lang.String` | `getAlgorithmStart()` Returns the time/date string the algorithm was started
`Capabilities` | `getCapabilities()` Returns the Capabilities of the algorithm.
`java.lang.String` | `getCycleEnd()` Returns the time/date string the cycle ended
`java.lang.String` | `getCycleStart()` Returns the time/date string the cycle was started
`int` | `getDataSeqID()` Returns the attribute representing the data sequence ID.
`boolean` | `getDebug()` Get whether debugging is turned on.
`java.lang.String` | `getFilterAttributes()` Returns the String containing the attributes which are used for output filtering.
`double` | `getMinSupport()` Returns the minimum support threshold.
`java.lang.String[]` | `getOptions()` Returns an Array containing the current options settings.
`java.lang.String` | `getRevision()` Returns the revision string.
`TechnicalInformation` | `getTechnicalInformation()` Returns TechnicalInformation about the paper related to the algorithm.
`java.lang.String` | `globalInfo()` Returns global information about the algorithm.
`java.util.Enumeration` | `listOptions()` Returns an enumeration of the available options.
`static void` | `main(java.lang.String[] args)` Main method.
`java.lang.String` | `minSupportTipText()` Returns the minimum support option tip text for the Weka GUI.
`void` | `setDataSeqID(int value)` Sets the attribute representing the data sequence ID.
`void` | `setDebug(boolean value)` Set debugging mode.
`void` | `setFilterAttributes(java.lang.String value)` Sets the String containing the attributes which are used for output filtering.
`void` | `setMinSupport(double value)` Sets the minimum support threshold.
`void` | `setOptions(java.lang.String[] options)` Parses a given list of options.
`java.lang.String` | `toString()` Returns a String containing the result information of the algorithm.

Methods inherited from class weka.associations.AbstractAssociator
`forName, makeCopies, makeCopy`

Methods inherited from class java.lang.Object
`equals, getClass, hashCode, notify, notifyAll, wait, wait, wait`

Constructor Detail

### GeneralizedSequentialPatterns

    public GeneralizedSequentialPatterns()

  Constructor.

Method Detail

### globalInfo

    public java.lang.String globalInfo()

  Returns global information about the algorithm.

  Returns:
    the global information

### getTechnicalInformation

    public TechnicalInformation getTechnicalInformation()

  Returns TechnicalInformation about the paper related to the algorithm.

  Specified by:
    `getTechnicalInformation` in interface `TechnicalInformationHandler`
  Returns:
    the TechnicalInformation

### listOptions

    public java.util.Enumeration listOptions()

  Returns an enumeration of the available options.

  Specified by:
    `listOptions` in interface `OptionHandler`
  Returns:
    the available options

### setOptions

    public void setOptions(java.lang.String[] options)
                    throws java.lang.Exception

  Parses a given list of options.

  Valid options are:

       -D
        If set, algorithm is run in debug mode and
        may output additional info to the console

       -S <minimum support threshold>
        The miminum support threshold.
        (default: 0.9)

       -I <attribute number representing the data sequence ID
        The attribute number representing the data sequence ID.
        (default: 0)

       -F <attribute numbers used for result filtering
        The attribute numbers used for result filtering.
        (default: -1)

  Specified by:
    `setOptions` in interface `OptionHandler`
  Parameters:
    `options` - the Array containing the options
  Throws:
    `java.lang.Exception` - if an option is not supported

### getOptions

    public java.lang.String[] getOptions()

  Returns an Array containing the current options settings.

  Specified by:
    `getOptions` in interface `OptionHandler`
  Returns:
    the Array containing the settings

### getCapabilities

    public Capabilities getCapabilities()

  Returns the Capabilities of the algorithm.

  Specified by:
    `getCapabilities` in interface `Associator`
  Specified by:
    `getCapabilities` in interface `CapabilitiesHandler`
  Overrides:
    `getCapabilities` in class `AbstractAssociator`
  Returns:
    the Capabilities
  See Also:
    `Capabilities`

### buildAssociations

    public void buildAssociations(Instances data)
                           throws java.lang.Exception

  Extracts all sequential patterns out of a given sequential data set and prints out the results.

  Specified by:
    `buildAssociations` in interface `Associator`
  Parameters:
    `data` - the original data set
  Throws:
    `java.lang.Exception` - if the associator has not been generated successfully

### extractFilterAttributes

    public void extractFilterAttributes(java.lang.String attrNumbers)

  Parses a given String containing attribute numbers which are used for result filtering.

  Parameters:
    `attrNumbers` - the String of attribute numbers

### dataSeqIDTipText

    public java.lang.String dataSeqIDTipText()

  Returns the dataSeqID option tip text for the Weka GUI.

  Returns:
    the option tip text

### getDataSeqID

    public int getDataSeqID()

  Returns the attribute representing the data sequence ID.

  Returns:
    the data sequence ID

### setDataSeqID

    public void setDataSeqID(int value)

  Sets the attribute representing the data sequence ID.

  Parameters:
    `value` - the data sequence ID to set

### filterAttributesTipText

    public java.lang.String filterAttributesTipText()

  Returns the filterAttributes option tip text for the Weka GUI.

  Returns:
    the option tip text

### getFilterAttributes

    public java.lang.String getFilterAttributes()

  Returns the String containing the attributes which are used for output filtering.

  Returns:
    the String containing the attributes

### setFilterAttributes

    public void setFilterAttributes(java.lang.String value)

  Sets the String containing the attributes which are used for output filtering.

  Parameters:
    `value` - the String containing the attributes

### minSupportTipText

    public java.lang.String minSupportTipText()

  Returns the minimum support option tip text for the Weka GUI.

  Returns:
    the option tip text

### getMinSupport

    public double getMinSupport()

  Returns the minimum support threshold.

  Returns:
    the minimum support threshold

### setMinSupport

    public void setMinSupport(double value)

  Sets the minimum support threshold.

  Parameters:
    `value` - the minimum support threshold

### setDebug

    public void setDebug(boolean value)

  Set debugging mode.

  Parameters:
    `value` - true if debug output should be printed

### getDebug

    public boolean getDebug()

  Get whether debugging is turned on.

  Returns:
    true if debugging output is on

### debugTipText

    public java.lang.String debugTipText()

  Returns the tip text for this property

  Returns:
    tip text for this property suitable for displaying in the explorer/experimenter gui

### getAlgorithmStart

    public java.lang.String getAlgorithmStart()

  Returns the time/date string the algorithm was started

  Returns:
    the time and date the algorithm was started

### getCycleStart

    public java.lang.String getCycleStart()

  Returns the time/date string the cycle was started

  Returns:
    the time and date the cycle was started

### getCycleEnd

    public java.lang.String getCycleEnd()

  Returns the time/date string the cycle ended

  Returns:
    the time and date the cycle ended

### toString

    public java.lang.String toString()

  Returns a String containing the result information of the algorithm.

  Overrides:
    `toString` in class `java.lang.Object`
  Returns:
    the String containing the result information

### getRevision

    public java.lang.String getRevision()

  Returns the revision string.

  Specified by:
    `getRevision` in interface `RevisionHandler`
  Overrides:
    `getRevision` in class `AbstractAssociator`
  Returns:
    the revision

### main

    public static void main(java.lang.String[] args)

  Main method.

  Parameters:
    `args` - commandline options, use -h for help

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