Inlämning av Examensarbete / Submission of Thesis

Serkan Güneş MSC-2009:35, pp. 51. COM/School of Computing, 2009.

The work

Författare / Author: Serkan Güneş
serkangunes@gmail.com
Titel / Title: Investment and Financial Forecasting - A Data Mining Approach on Port Industry
Abstrakt Abstract:

ABSTRACT

This thesis examines and analyzes the use of data mining techniques and simulations as a forecasting tool.
Decision making process for business can be risky. Corporate decision makers have to make decisions to protect company’s benefit and lower the risk.
In order to evaluate data mining approach on forecasting, a tool, called IFF, was developed for evaluating and simulating forecasts. Specifically data mining techniques’ and simulation’s ability to predict, evaluate and validate Port Industry forecasts is tested. Accuracy is calculated with data mining methods. Finally the probability of user’s and simulation model’s confidentiality is calculated.
The results of the research indicate that data mining approach on forecasting and Monte Carlo method have the capability to forecast on Port industry and, if properly analyzed, can give accurate results for forecasts.

Ämnesord / Subject: Datavetenskap - Computer Science\General
Datavetenskap - Computer Science\Software Engineering
Datavetenskap - Computer Science\Computersystems
Nyckelord / Keywords: Finance, Forecasting, Data Mining, Simulation, Port Systems

Publication info

Dokument id / Document id:
Program:/ Programme Magisterprogram i Datavetenskap/MSC in Computer science
Registreringsdatum / Date of registration: 09/27/2009
Uppsatstyp / Type of thesis: Masterarbete/Master's Thesis (120 credits)

Context

Handledare / Supervisor: Lawrence Henesey
lhe@bth.se
Examinator / Examiner: Guohua Bai
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: COM/School of Computing

+46 455 38 50 00

Files & Access

Bifogad uppsats fil(er) / Files attached: thesis_serkangunes.pdf (2076 kB, öppnas i nytt fönster)