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kddml.Operators.Postprocessing.TREE_CLASSIFY_RESOLVER Class Reference

Inheritance diagram for kddml.Operators.Postprocessing.TREE_CLASSIFY_RESOLVER:

kddml.Operators.Postprocessing.PostProcessingResolver kddml.Operators.OperatorResolver kddml.Operators.HWResourcesDescription List of all members.

Public Member Functions

KDDMLObject execute (Hashtable< String, KDDMLScalarManager > settings, Vector< KDDMLObject > arguments) throws ResolverException, KDDMLCoreException
KDDMLObjectType getArgumentType (int i)
int estimatedRAMUsage ()
boolean highDiskAccessIsNeeded ()

Detailed Description

Given a classification tree and a table, the operator yields a new table with an additional column at the end of the schema consisting of the class predicted by the decision tree. The name of the new column is the name of the classification attribute of the tree followed by the extension predicted. For example, if the target attribute is "play_tennis", then the output column is named as “"play_tennis_predicted". The type of the predicted attribute become nominal.
The procedure used to determine the class predicted is the one adopted in the C4.5 algorithm. The mapping between attributes used in the classification tree and attributes in the dataset is by name. Therefore, the input relational table must be compatible with the classification tree. In particular, a table is compatible with a model if for each active mining field belonging to the model, there is an attribute in the table with the same name and type.

Title: KDDML

Description: Knowledge Discovery in Database Environment

Copyright: Copyright (c) 2003 - 2005

Company: Universita' di Pisa - Dipartimento di Informatica

Author:
Andrea Romei (romei@di.unipi.it)
Version:
2.0.16


Member Function Documentation

KDDMLObject kddml.Operators.Postprocessing.TREE_CLASSIFY_RESOLVER.execute Hashtable< String, KDDMLScalarManager settings,
Vector< KDDMLObject arguments
throws ResolverException, KDDMLCoreException [virtual]
 

Returns the result of evaluating the operator over the passed arguments and attributes.
Attributes are given as hashtable, where the key is the name of the XML attribute related to the operator and the value is a KDDMLScalar object containing the attribute value. Attribute value is checked by the interpreter layer and it is correct.
Arguments are given as vector of KDDMLOjbect. Types of arguments are correct, as required by the getArgumentType(int i) method.
Implementations of the execute method can be distinguished according to the type of operator.

Parameters:
settings Hashtable the attributes related to the operator. The key of the hashtable is the name of the attribute. The value of the hashtable is a KDDMLScalar representing the value of the attribute.
arguments Vector the list of arguments as KDDMLObject.
Returns:
KDDMLObject the result of evaluating the operator.
Exceptions:
ResolverException if a resolving error occurs.
KDDMLCoreException if a level core error occurs.

Implements kddml.Operators.OperatorResolver.

KDDMLObjectType kddml.Operators.Postprocessing.TREE_CLASSIFY_RESOLVER.getArgumentType int  i  )  [virtual]
 

Returns the expected type of the i-th argument of the operator. Returns null if the operator do not admit argument as i-th child.

Parameters:
i int
Returns:
KDDMLObjectType

Implements kddml.Operators.OperatorResolver.

int kddml.Operators.Postprocessing.TREE_CLASSIFY_RESOLVER.estimatedRAMUsage  ) 
 

Returns the estimated RAM usage for the operator. Must be a value between 0 and 1024 MB.

Returns:
int default returns 256.

Reimplemented from kddml.Operators.OperatorResolver.

boolean kddml.Operators.Postprocessing.TREE_CLASSIFY_RESOLVER.highDiskAccessIsNeeded  ) 
 

Returns true if the operator performes a high number of I/O operation to the hard disk.

Returns:
boolean default returns false.

Reimplemented from kddml.Operators.OperatorResolver.


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