User's Manual

10
Chapter 2
New features in IBM SPSS Modeler Premium
IBM® SPSS® Modeler Premium is a separately-licensed product that provides a dditional features
to those supplied by IBM® SPSS® Modeler P r ofessional. Prev iously, S PSS Modeler Pre mium
included only IBM® SPSS® Modeler Text Analytics . The full set of SPSS Mod eler Pre mium
features is now as follows.
 SPSS Modeler Text Analytics
 IBM® SPSS® Modele r Entity Analytics
 IBM® SPSS® Modeler Social Network Ana lysis
SPSS Modeler Text Analytics uses advanced lin guistic techno logies and Natural Language
Processing (NLP) to rapidly process a large variety of unstructured text data, extract and organize
the key concepts, and group these concepts into categories. Extracted concepts and categories
can be c ombined with e xisting structured data, such as demographics, and applied to modeling
using the full suite of IBM® SPSS® Modeler data mining tools to yield better and more focused
decisions.
IBM SPSS Modeler Entity Analytics adds a completely new dimension to SPSS Mode ler
predictive analytics. Wh ereas predictive analytics attempts to predict future behavior f r om past
data, entity analyt ics focuses on improving the coheren ce and consist en cy of current data by
resolving identity c onflicts within the records themselves. An identity can be that of an ind ividual,
an organization, an object, or any other entity for which ambigui ty might exist. Identity resolution
can be vital in a number of fields, including customer relationship manag ement, fraud detection,
anti-money laundering, and national and international secu r ity.
IBM SPSS Modeler Social Network Analysis transforms information about relationships into
fields that characterize the social behavior of individuals and groups. Using data describing the
relationships underlying social networks, IBM SPSS Modeler Social Network Analysis identifies
social leaders who influence the behavior of others in the network. In ad dition, you can determine
which people are most affected by other network participants. By combining these r esults with
other measures, you can create comprehensive profiles of individuals on which to base your
predictive models. M odels th at include this social infor matio n will perform be tter than models
that do not.
Note: SPSS Modeler Professional mu st be installed before in stalling any of the SPSS Modeler
Premiu m features.
New Nodes in This Release
IBM SPSS Modeler Professional
A generalized linear mixed model (GLMM) extends the linear model so that the target
can have a no n-normal distribution, is linearly related to the factors and covariates via
a specified link function, and so that the observations can be correlated. Generalized
linear mixed models cover a w i de variety of models, from simple linear regression to
complex mult i l evel models for non-normal longitudinal data.