The IBM SPSS Modeler
The penetration of mobile communications in Ukraine is approaching 150%.This way
The situation is explained by the tendency of the subscribers to use the services immediately
several operators, for example, have two different seven cards at the same time
of Operators.This, in turn, means that with every year the operators all
It becomes more difficult to locate new subscribers.New connections more
represent themselves as a “transmitter” or their own base, or subscribers
The competitors are more sensitive to new price offers.It is clear that
Attracting a new subscriber is an additional cost for the operator.Thus thus,
The task ofining an existing subscriber has certain economic grounds.The telecommunications company has collected statistical information about
of abonnents.The company’s leadership has set a task to develop classifications.
models that would allow to reduce the flow of subscribers, i.e. to maximize
loyalty of the telecommunications company.The data:
https://drive.google.com/file/d/1rZeUMtGUo0S7vLXZnrsu0FezHE0m6p9_/view?u
Sp = Sharing
The final result: the appropriate project must be implemented.
(will in IBM SPSS Modeler) and develop and send a full report for all
Methodology of CRISP-DM
The phases:
1 .Understanding business objectives
The 2ndUnderstanding of data
3 .Preparation of data
and 4.Modeling
and 5.The assessment.Implementation
Use the following models and nodes in the implementation of the project:
Auto Classifiers
by SVM
The C5.0
The Neural Net
Ensemble
Random Tree
The Neural Net
Applications 1
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