/**
* Illustrates how to perform data normalization
*
* @param normalizeType type of normalization to perform
* @param xformResult name of the result transformation view
* @throws JDMException if transformation failed
*/
public static void normalizeData(OraNormalizeType normalizeType, String xformResult)
throws JDMException {
// Schema where the original data and resulting transformations reside
String schema = (m_dmeConn.getConnectionSpec().getName()).toUpperCase();
OraNormalizeTransform ont =
m_xformFactory.createNormalizeTransform(normalizeType, new Integer(6));
// Specify the list of excluded attributes
String[] excludedList = new String[] {"CUST_ID", "CUST_GENDER"};
ont.setExcludeColumnList(excludedList);
ArrayList xformList = new ArrayList();
xformList.add(ont);
// Create a transformation sequence object
OraTransformationSequence xformSeq =
m_xformFactory.createTransformationSequence(
schema + "." + "MINING_DATA_BUILD_V", // name of the input data set
xformList, // List of transformations. In this case only one type of transformation
// i.e., supervised binning
schema + "." + xformResult // name of the transformation result
);
String xformSeqName = "nmz_" + normalizeType.name() + "_xfSeq";
m_dmeConn.saveObject(xformSeqName, xformSeq, true);
OraTransformationTask xformTask = m_xformTaskFactory.create(xformSeqName, false);
executeTask(xformTask, "xformNormalize_jdm");
displayNormalizeResults(schema, "AGE", normalizeType, xformResult);
}
/**
* Initialize all object factories used in the demo program.
*
* @exception JDMException if factory initalization failed
*/
public static void initFactories() throws JDMException {
m_xformFactory =
(OraTransformationFactory)
m_dmeConn.getFactory("oracle.dmt.jdm.transform.OraTransformation");
m_xformTaskFactory =
(OraTransformationTaskFactory)
m_dmeConn.getFactory("oracle.dmt.jdm.task.OraTransformationTask");
m_binXformFactory =
(OraBinningTransformFactory)
m_dmeConn.getFactory("oracle.dmt.jdm.transform.binning.OraBinningTransform");
}
/**
* Illustrates how to perform data discretization.
*
* @param resultXformName name of the result discretized view
* @param binningType type of discretization to perform i.e., quantile, equal width or custom
* @throws JDMException if discretization failed
*/
public static void binData(String resultXformName, OraNumericalBinningType binningType)
throws JDMException {
// Schema where the original data and resulting transformations reside
String schema = (m_dmeConn.getConnectionSpec().getName()).toUpperCase();
// Create discretization transformation instance
OraBinningTransform obt = m_xformFactory.createBinningTransform();
obt.setTransformInputData(schema + "." + "MINING_DATA_BUILD_V");
obt.setTransformOutputData(schema + "." + resultXformName);
// Specify the number of numeric bins
obt.setNumberOfBinsForNumerical(10);
// Specify the number of categoric bins
obt.setNumberOfBinsForCategorical(8);
// Specify the list of excluded attributes
String[] excludedList = new String[] {"CUST_ID", "CUST_GENDER"};
obt.setExcludeColumnList(excludedList);
// Specify the type of numeric binning: equal-width or quantile
// ( default is quantile )
obt.setNumericalBinningType(binningType);
// Specify the type of categorical binning as Top-N: by default it is none
obt.setCategoricalBinningType(OraCategoricalBinningType.top_n);
ArrayList xformList = new ArrayList();
xformList.add(obt);
// Create a transformation sequence object
OraTransformationSequence xformSeq =
m_xformFactory.createTransformationSequence(
schema + "." + "MINING_DATA_BUILD_V", // name of the input data set
xformList, // List of transformations. In this case only one type of transformation
// i.e., supervised binning
schema + "." + resultXformName // name of the transformation result
);
String xformSeqName = "bin_" + binningType.name() + "_xfSeq";
m_dmeConn.saveObject(xformSeqName, xformSeq, true);
OraTransformationTask xformTask = m_xformTaskFactory.create(xformSeqName, false);
executeTask(xformTask, "xFormBin_jdm");
displayDiscretizationResults(
binningType,
schema + "." + resultXformName,
new String[] {"CUST_INCOME_LEVEL", "OCCUPATION"});
}
/**
* This method stores the given task with the specified name in the DMS and submits the task for
* asynchronous execution in the DMS. After completing the task successfully it returns true. If
* there is a task failure, then it prints the error description and returns false.
*
* @param taskObj task object
* @param taskName name of the task
* @return boolean returns true when the task is successful
* @exception JDMException if task execution failed
*/
public static boolean executeTask(Task taskObj, String taskName) throws JDMException {
boolean isTaskSuccess = false;
m_dmeConn.saveObject(taskName, taskObj, true);
ExecutionHandle execHandle = m_dmeConn.execute(taskName);
System.out.print("\n" + taskName + " is started, please wait. ");
// Wait for completion of the task
ExecutionStatus status = execHandle.waitForCompletion(Integer.MAX_VALUE);
// Check the status of the task after completion
isTaskSuccess = status.getState().equals(ExecutionState.success);
if (isTaskSuccess) {
// Task completed successfully
System.out.println(taskName + " is successful.\n");
} else { // Task failed
System.out.println(
taskName + " is failed.\nFailure Description: " + status.getDescription() + "\n");
}
return isTaskSuccess;
}
/**
* Illustrates how to perform data clipping
*
* @param clippingType type of clipping to perform
* @param xformResult name of the result transformation view
* @throws JDMException if transformation failed
*/
public static void clipData(OraClippingType clippingType, String xformResult)
throws JDMException {
// Schema where the original data and resulting transformations reside
String schema = (m_dmeConn.getConnectionSpec().getName()).toUpperCase();
OraClippingTransform oct = m_xformFactory.createClippingTransform();
oct.setTransformInputData(schema + "." + "MINING_DATA_BUILD_V");
oct.setTransformOutputData(schema + "." + xformResult);
// Specify the list of excluded attributes
String[] excludedList = new String[] {"CUST_ID", "CUST_GENDER"};
oct.setExcludeColumnList(excludedList);
// Specify the type of clipping: trim of winsorize ( default is trimming).
oct.setClippingType(clippingType);
// Specify the tail fraction as 3% of values on both ends
oct.setTailFraction(0.03);
ArrayList xformList = new ArrayList();
xformList.add(oct);
// Create a transformation sequence object
OraTransformationSequence xformSeq =
m_xformFactory.createTransformationSequence(
schema + "." + "MINING_DATA_BUILD_V", // name of the input data set
xformList, // List of transformations. In this case only one type of transformation
// i.e., supervised binning
schema + "." + xformResult // name of the transformation result
);
String xformSeqName = "clp_" + clippingType.name() + "_xfSeq";
m_dmeConn.saveObject(xformSeqName, xformSeq, true);
OraTransformationTask xformTask = m_xformTaskFactory.create(xformSeqName, false);
executeTask(xformTask, "xfromClip_jdm");
displayClippingResults(schema, xformResult, "AGE", clippingType);
}
/**
* For supervised functions with the known target attribute, supervised binning is a recommended
* approach. It is a smart binning based on the target attribute values. This method is supported
* from 11.1 release of ODM.
*/
public static void binSupervised() throws JDMException {
// Schema where the original data and resulting transformations reside
String schema = (m_dmeConn.getConnectionSpec().getName()).toUpperCase();
// Create discretization transformation instance
OraBinningTransform obt = m_xformFactory.createBinningTransform();
// Specify the list of excluded attributes
String[] excludedList = new String[] {"CUST_ID", "CUST_GENDER"};
obt.setExcludeColumnList(excludedList);
// Specify the type of numeric binning: supervised
obt.setNumericalBinningType(OraNumericalBinningType.supervised);
// Specify the type of categorical binning as supervised
obt.setCategoricalBinningType(OraCategoricalBinningType.supervised);
obt.setTargetAttributeName("AFFINITY_CARD");
ArrayList xformList = new ArrayList();
xformList.add(obt);
// Create a transformation sequence object
OraTransformationSequence xformSeq =
m_xformFactory.createTransformationSequence(
schema + "." + "MINING_DATA_BUILD_V", // name of the input data set
xformList, // List of transformations. In this case only one type of transformation
// i.e., supervised binning
schema + "." + "MINING_DATA_BINNED_SUP" // name of the transformation result
);
m_dmeConn.saveObject("superBin_xformSeq", xformSeq, true);
OraTransformationTask xformTask = m_xformTaskFactory.create("superBin_xformSeq", false);
executeTask(xformTask, "xFormSuperBin_jdm");
displayDiscretizationResults(
OraNumericalBinningType.supervised,
schema + "." + "MINING_DATA_BINNED_SUP",
new String[] {"CUST_INCOME_LEVEL", "OCCUPATION"});
}
public static void main(String args[]) {
try {
if ((args.length != 0) & (args.length != 3)) {
System.out.println("Usage: java dmxfdemo ");
System.out.println(" or: java dmxfdemo <Host name>:<Port>:<SID> <User Name> <Password>");
return;
}
String uri = args[0];
String name = args[1];
String password = args[2];
// 1. Login to the Data Mining Engine
m_dmeConnFactory = new OraConnectionFactory();
ConnectionSpec connSpec = m_dmeConnFactory.getConnectionSpec();
connSpec.setURI("jdbc:oracle:thin:@" + uri);
connSpec.setName(name);
connSpec.setPassword(password);
m_dmeConn = m_dmeConnFactory.getConnection(connSpec);
// 2. Clean up all previuosly created demo objects
clean();
// 3. Initialize factories for mining objects
initFactories();
// 4. custom binning
binDataCustom("MINING_DATA_BINNED_CUSTOM");
// 5. discretize data using equal width
binDataEqWidth();
// 6. discretize data using quantile
binDataQtile();
// 7. bin using supervised method
binSupervised();
// 8. clip data using trimming
clipDataTrim();
// 9. clip data using winsorizing
clipDataWinsorize();
// 10. normalize data using min-max
normalizeMinMax();
// 11. normalize data using z-score
normalizeZScore();
} catch (Exception anyExp) {
anyExp.printStackTrace(System.out);
} finally {
try {
// 10. Logout from the Data Mining Engine
m_dmeConn.close();
} catch (Exception anyExp1) {
} // Ignore
}
}
/**
* Illustrates how to perform custom data discretization. First discretization of 2 numerical
* attributes is performed. "AGE" is binned with equal width method with 10 bins and
* "YRS_RESIDENCE" with quantile method and 5 bins. Categorical attributes "EDUCATION" and
* "OCCUPATION" are discretized with the Top-N method into 15 and 10 bins. This method illustrates
* how additional attributes can be added to the existing discretization tables: "AFFINITY_CARD"
* and ""HOUSEHOLD_SIZE". Finally results are combined into a single array and custom
* transformation task is performed.
*
* @param resultXformName name of the result transformation view
* @throws JDMException if transformation failed
*/
public static void binDataCustom(String resultXformName) throws JDMException {
System.out.println("Custom binning");
System.out.println("--------------------------------------------");
// Schema where the original data and resulting transformations reside
String schema = (m_dmeConn.getConnectionSpec().getName()).toUpperCase();
// Numeric custom binning
OraNumericalAttributeBins[] customNumBins =
m_binXformFactory.computeNumericBins(
schema + "." + "MINING_DATA_BUILD_V", // name of the input data set
new String[] {
"AGE", "YRS_RESIDENCE",
},
new OraNumericalBinningType[] {
OraNumericalBinningType.equi_width, OraNumericalBinningType.quantile
},
new Integer[] {new Integer(10), new Integer(5)});
if (customNumBins == null) {
System.out.println("Error: no numeric bins were computed");
return;
}
// Categoric custom binning
OraCategoricalAttributeBins[] customCatBins =
m_binXformFactory.computeCategoricBins(
schema + "." + "MINING_DATA_BUILD_V", // name of the input data set
new String[] {
"EDUCATION", "OCCUPATION",
},
new OraCategoricalBinningType[] {
OraCategoricalBinningType.top_n, OraCategoricalBinningType.top_n,
},
new Integer[] {
new Integer(15), new Integer(10),
});
if (customCatBins == null) {
System.out.println("Error: no categoric bins were computed");
return;
}
// combine custom bins into the single array
OraAttributeBins[] customBins = null;
customBins = incrementArray(customBins, (OraAttributeBins[]) customNumBins);
customBins = incrementArray(customBins, (OraAttributeBins[]) customCatBins);
// show resulting array of custom bins
for (int i = 0; i < customBins.length; i++) {
System.out.println("Attribute:" + customBins[i].getAttributeName());
if (customBins[i] instanceof OraNumericalAttributeBins) {
OraNumericalAttributeBins oraNumBin = (OraNumericalAttributeBins) customBins[i];
OraNumericalBin[] bs = oraNumBin.getBins();
System.out.println("\tBin ID\tLower\tUpper");
for (int j = 0; j < bs.length; j++) {
System.out.println(
"\t"
+ bs[j].getBinID()
+ "\t"
+ m_df.format(bs[j].getStartValue())
+ "\t"
+ m_df.format(bs[j].getEndValue()));
}
} else if (customBins[i] instanceof OraCategoricalAttributeBins) {
OraCategoricalAttributeBins oraCatBin = (OraCategoricalAttributeBins) customBins[i];
OraCategoricalBin[] bs = oraCatBin.getBins();
System.out.println("\tBin ID\tCategory");
for (int j = 0; j < bs.length; j++) {
Object[] categories = bs[j].getCategories();
System.out.print("\t" + bs[j].getBinID() + "\t");
for (int k = 0; k < categories.length; k++) {
System.out.print(categories[k].toString());
if (k < categories.length - 1) System.out.print(";");
}
System.out.println();
}
}
}
// Create discretization transformation instance
OraBinningTransform obt = m_xformFactory.createBinningTransform(customBins);
// Specify the type of numeric binning: custom
obt.setNumericalBinningType(OraNumericalBinningType.custom);
// Specify the type of categoric binning: custom
obt.setCategoricalBinningType(OraCategoricalBinningType.custom);
ArrayList xformList = new ArrayList();
xformList.add(obt);
// Create a transformation sequence object
OraTransformationSequence xformSeq =
m_xformFactory.createTransformationSequence(
schema + "." + "MINING_DATA_BUILD_V", // name of the input data set
xformList, // List of transformations. In this case only one type of transformation
// i.e., supervised binning
schema + "." + resultXformName // name of the transformation result
);
String xformSeqName = "bin_" + OraNumericalBinningType.custom.name() + "_xfSeq";
m_dmeConn.saveObject(xformSeqName, xformSeq, true);
OraTransformationTask xformTask = m_xformTaskFactory.create(xformSeqName, true);
executeTask(xformTask, "xCustomBin_jdm");
// display content of the bin definition tables
showBinDefinitionTableContents(obt.getCategoricalBinTable(), "categorical");
showBinDefinitionTableContents(obt.getNumericalBinTable(), "numerical");
displayDiscretizationResults(
OraNumericalBinningType.custom,
schema + "." + resultXformName,
new String[] {"AGE", "CUST_INCOME_LEVEL", "EDUCATION", "OCCUPATION"});
// Bin additional attribute and add
// to the existing bin definition tables
// ----------------------------------------------------------------
// Numeric custom binning
OraNumericalAttributeBins[] customNumBinsAdd =
m_binXformFactory.computeNumericBins(
schema + "." + "MINING_DATA_BUILD_V", // name of the input data set
new String[] {
"AFFINITY_CARD",
},
new OraNumericalBinningType[] {
OraNumericalBinningType.quantile,
},
new Integer[] {new Integer(6)});
if (customNumBins == null) {
System.out.println("Error: no numeric bins were computed");
return;
}
// Categoric custom binning
OraCategoricalAttributeBins[] customCatBinsAdd =
m_binXformFactory.computeCategoricBins(
schema + "." + "MINING_DATA_BUILD_V", // name of the input data set
new String[] {
"HOUSEHOLD_SIZE",
},
new OraCategoricalBinningType[] {
OraCategoricalBinningType.top_n,
},
new Integer[] {
new Integer(15), new Integer(10),
});
if (customCatBins == null) {
System.out.println("Error: no categoric bins were computed");
return;
}
// combine custom bins into the single array
OraAttributeBins[] customBinsAdd = null;
customBinsAdd = incrementArray(customBinsAdd, (OraAttributeBins[]) customNumBinsAdd);
customBinsAdd = incrementArray(customBinsAdd, (OraAttributeBins[]) customCatBinsAdd);
// clean up previous view
dropView(null, resultXformName);
OraBinningTransform obtAdd =
m_xformFactory.createBinningTransform(
obt.getCategoricalBinTable(), obt.getNumericalBinTable(), customBinsAdd);
obtAdd.setTransformInputData(schema + "." + "MINING_DATA_BUILD_V");
obtAdd.setTransformOutputData(schema + "." + resultXformName);
// Specify the type of numeric binning: custom
obtAdd.setNumericalBinningType(OraNumericalBinningType.custom);
// Specify the type of categoric binning: custom
obtAdd.setCategoricalBinningType(OraCategoricalBinningType.custom);
OraTransformationTask xformTaskAdd = m_xformTaskFactory.create(obtAdd);
executeTask(xformTaskAdd, "xCustomBinAdd_jdm");
// display content of the new bin definition tables
showBinDefinitionTableContents(obtAdd.getCategoricalBinTable(), "categorical");
showBinDefinitionTableContents(obtAdd.getNumericalBinTable(), "numerical");
// show results
displayDiscretizationResults(
OraNumericalBinningType.custom,
schema + "." + resultXformName,
new String[] {"AFFINITY_CARD", "HOUSEHOLD_SIZE"});
}
