them. Traditional banks have been doing this‚ and internet banks continue the same function. The only difference is in the way the transactions are made. We all know about internet banking and most of us use it quite often as well‚ but few of us actually understand about the history of internet banking and how it all came out. Knowing the history of internet banking can be incredibly useful‚ especially since it will allow us to have more respect for the little things that we take for granted. Computers
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Banking Terms and Concepts • Accrued interest: Interest due from issue date or from the last coupon payment date to the settlement date. Accrued interest on bonds must be added to their purchase price. • Arbitrage: Buying a financial instrument in one market in order to sell the same instrument at a higher price in another market. • Ask Price: The lowest price at which a dealer is willing to sell a given security. • Asset-Backed Securities (ABS): A type of security that is backed by a pool
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and a study of present situation of mobile banking service implementation in various banks in Bangladesh as an m-commerce service. Table of Contents Pages 1. Introduction 4 2. Background of Mobile Banking 4 3. Objectives of the study 4 4. Methodology of the study 4 4.1. Location/Geographic Coverage 5 4.2. Types of Respondents 5 4.3. Research Design 5 4.4. Sources of Data 5 4.5. Questionnaire Type and Responses 5
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Chapter 1 Introduction 1.1) Introducing of Banking Managment : It is generally said that the word “BANK” has been originated in Italy. In the middle of 12th century there was a great financial crisis in Italy due to war. A bank is a financial institution which deals with deposits and advances and other related services. It receives money from those who want to save in the form of deposits and it lends money to those who need it. Definition of a Bank is‚ Oxford Dictionary defines
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Introduction to Data Mining Assignment 1 Ex1.1 what is data mining? (a) Is it another hype? Data mining is Knowledge extraction from data this need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. So‚ data mining definitely is not another hype it can be viewed as the result of the natural evolution of information technology. (b) Is it a simple transformation of technology developed
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Green Banking In an increasingly eco-conscious market‚ many small businesses are finding creative ways to go green. Whether it’s improving their energy efficiency‚ buying organic products‚ composting or just turning off electronics at night‚ being green means all sorts of things to different people. One small thing you may not have considered is green banking. Most banks have at least one green initiative in place (or claim to)‚ and a few have made the extra effort to distinguish themselves
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Data Mining Melody McIntosh Dr. Janet Durgin Information Systems for Decision Making December 8‚ 2013 Introduction Data mining‚ or knowledge discovery‚ is the computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data. Data mining tools predict behaviors and future trends‚ allowing businesses to make proactive‚ knowledge- driven decisions Although data mining is still in its infancy
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I - A. " Representational faithfulness is accomplished when transactions and events affecting the entity are presented in financial statements in a manner that is in agreement with the actual underlying transactions and events" (CICA‚ Financial statement Concepts 1000.21 (a)‚ 2003). It means that all of information in the financial statement such as numbers and descriptions must be factual. The independent auditors checked the computer ID tags on each piece of equipment to confirm the actual numbers
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Padmanabhan to review the banking supervision system. The Committee certain recommendations and based on such suggetions a rating system for domestic and foreign banks based on the international CAMELS model combining financial management and systems and control elements was introduced for the inspection cycle commencing from July 1998. It recommended that the banks should be rated on a five point scale (A to E) based on th elines of international CAMELS rating model. CAMELS evaluates banks on the
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is a necessity for a businesses trying to maximize its profits. A new‚ and important‚ tool in gaining this knowledge is Data Mining. Data Mining is a set of automated procedures used to find previously unknown patterns and relationships in data. These patterns and relationships‚ once extracted‚ can be used to make valid predictions about the behavior of the customer. Data Mining is generally used for four main tasks: (1) to improve the process of making new customers and retaining customers;
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