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Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Idris olajide Oredeyin
Financial Graph: Applying Graph Analytics to Comsumers' Financial Statement Transaction Data
Big Data Systems
(Master’s programme)
2017
1.6 Overview of Dissertation

Chapter 2 -In order to carry out this project, an understanding of transaction data, the usage and frequent pattern detection are imperative. The main literature about financial transaction data, customer profiling, spending behavior, and the state-of- the art in Graph Analytics were presented.

Chapter 3 - The Cross Industry Standard Process for Data Mining (CRISP-DIM) and Graph Analytics are considered. The steps include categorization of-financial transaction data and ascertaining the frequent item sets. It also includes project problem examination, description and justification for the approach taken and discussion of the tools and technologies considered and applied.

Chapter 4 - The description of the application, problems encountered and how they were solved highlighted. This section fully explains the motive behind design choices and explanation of some of the technical description regarding the construction, interfaces and purpose of financial graph.

Chapter 5 - The focus of the chapter includes testing procedure carried out, evaluation of the solution, description of the main c

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