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Introduction to Clementine
Target Audience:
New and potential users of SPSS Clementine
Prerequisite:
Basic proficiency in Windows operations. Training in statistical methods is
not necessary, but those with such training will gain a deeper understanding
of the models.
Overview:
The two-day Introduction to Clementine course reviews the basic operations and
environment of the SPSS Clementine data mining software. You will learn how
to read, explore and manipulate data within Clementine. Within the context of
data mining, you will be introduced to such machine learning techniques as rule
induction, neural networks, Kohonen networks and association rules, and will
apply them to business data.
Duration:
1 day
Course Content:
Introduction to Data Mining
Introducing Clementine
Reading Data Files
Data Quality
Introduction to Data Manipulation
Looking for Relationships in Data
Modeling Techniques in Clementine
Neural Networks
Rule Induction
Comparing and Combining Models
Kohonen Networks
Association Rules
Sequence Detection
Other Topic
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