Profit/Loss Decision Support System For Bank (MS Thesis) (Record no. 56011)

MARC details
000 -LEADER
fixed length control field 02217nam a22001337a 4500
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Rakhi,
-- 13MSIT28
-- Supervisor Dr. Akhtar Hussain Jalbani
245 ## - TITLE STATEMENT
Title Profit/Loss Decision Support System For Bank (MS Thesis)
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Nawabshah:
Name of publisher QUEST,
Year of publication 2016.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 75p, :
500 ## - GENERAL NOTE
General note A BSTR ACT<br/><br/>Decision support systems (OSS) arc computerized information systems that are used to compile the complex information in order to support the people to make knowledgeable decisions for their business or organization. In the rapidly changing world today, banking and the financial service are the two sectors that are facing more and more challenges because of unawareness from decision support system that's why there is gap between system and human decision which is not clearly understood by banking employees. Now decision support system is properly used in the banking area and financial departments to manage and utilize huge amount of data that is required to make timely and precise decisions to prevent from unexpected risks. Many banks still depend on manual system not automatic system they measure bank profit or loss manually through balance sheet and income statements. This is very timing consuming & required many people efforts to manage huge financial information. In this research profit/loss decision support system for banks is developed also called as an automatic system for profit and loss. Which may use in banks for measuring the future profit/loss year and as well as monthly wise and can be able to increases the profitability as well as recovers their future loss. Therefore, Bank can be able to take right decision for their business. For this purpose, a design methodology has proposed in this research which facilitates to collect the data from Khushali bank of Nawabshah, filtered them to create the bank database to imported. that database into Genie Tool for the purpose of cleaning and classify the data into two categories: leaning structure of Bayesian network & learning parameters of Bayesian network by using Bayesian Search algorithm technique.<br/>
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Department of Information Technology Engineering
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://tinyurl.com/582jj89v
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Thesis and Dissertation
Holdings
Withdrawn status Lost status Home library Current library Date acquired Accession Number Koha item type
    Research Section Research Section 24/11/2016 MP/010-102 Thesis and Dissertation
    Research Section Research Section 02/10/2018 MP/27-305 Thesis and Dissertation