Decision making support in business processes

OData support
Dr. Gönczy László
Department of Measurement and Information Systems

The goal of my thesis is to introduce the capabilities of decision support in business pro-cesses, especially focusing on the’ capabilities of decision trees.

Nowadays the computer supported business decision solutions are one of the most fast-spreading technology. The reason is simply that the amount of the available data is so big that it is very difficult or impossible to handle, e.g. with a simple relational database, but it is not acceptable not to use this piled up information. The computer aided deci-sion support made it possible to process and gain information from so huge amount of data which cannot be processed any other way especially not by simply a human mind.

First I introduce the decision trees, the algorithms to generate them, some method to use them, and through a simple decision problem I show how a decision tree generator works step-by-step, and how this helps to solve our case study.

In the next chapter I introduce tools, which support using decision tree algorithms, or similar deep learning algorithms. I present the IBM Bluemix software suite, showing some use case in which it can help to solve the decision problem, such as handling trade-off situations, and text or image analysis. After this introduce Weka software which I used to implement the case study. At the end of the chapter I present a side-by-side comparison of these two software about advantages and disadvantages, availability, price, performance, usability etc.

The last part of the document is about the implementation of the software with which I can solve the case study’s problem. This is an algorithm that actually suggests products to the clients or visitors of a web shop. The goal is to show those products to a web shop visitor which have the highest probability to be bought by the user who’s shown to.

To implement this decision tree algorithm I used the Java implementation of the Weka library. This program runs as a service and can be reached via web service calls. At the end of the chapter I write about future improvement possibilities.


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