Advanced Data Preparation Using IBM SPSS Modeler (v18) SPVC

1: Using functions to cleanse and enrich data • Use date functions • Use conversion functions • Use string functions • Use statistical functions • Use missing value functions 2: Using additional field transformations • Replace values with the Filler node • Recode continuous fields with the Binning node • Change a field’s distribution with the Transform node 3: Working with Sequence Data • Use cross-record functions • Count an event across records • Expand a continuous field into a series of continuous fields with the Restructure node • Use geospatial and time data with the Space-Time-Boxes node 4: Sampling, partitioning and balancing data • Draw simple and complex samples with the Sample node • Create a training set and testing set with the Partition node • Reduce or boost the number of records with the Balance node 5: Improving Efficiency • Use database scalability by SQL pushback • Process outliers and missing values with the Data Audit node • Use the Set Globals node • Use parameters • Use looping and conditional execution