CHAPTER $1$: CHOOSING, PROPOSING THREE PROBLEM$($S$)($TOTAL: $5$ PTS$)$:

Introduction

General information about the chosen companies $($address$,$ contact person, business

information$)(1$ pts$)$

Description of the problems $(1$ pts$)$

Current situations $(1$ pts$)$

Choose three problems carefully to use three different data mining methods we have

covered in the course. $(2$ pts$)$

For each problem, a different database or dataset will be located. The datasets have

to be suitable for the mining algorithm which will be used $($e$.$g$.,$ associations and

correlations, classifications, and cluster analyses$)$

CHAPTER $2$: REQUIREMENTS ANALYSES FOR EACH PROBLEM $($TOTAL $25$ PTS$)$:

What the users expect from the developed systems $(5$ pts$)$

Which type of questions do they need to be answered by means of the developed systems $(5$

pts$)$

Surveys, questionnaires, and interview forms$/$reports should be included related to the

systems $($optional$)$