Paper ONE SECTION A (40 MARKS) Question 1. (a) Name two types of programming technique with examples. [4] Ans. Structured Programming (eg‚ C‚ BASIC); Object Oriented Programming (eg‚ C++‚ JAVA) (b) Explain type casting with an example. [2] Ans.The explicit conversion of a wider data-type into a narrower data-type is called type-casting. Example: double a = 3.567; int b
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Bashkor Biswas TU Data Ware House Data is the raw materials of any information system. With the revolution of Information Technology we are improving our decision making process more quick and smart. Data warehouse technology is the process of collection‚ sorting‚ structural formation‚ analysis‚ storing and presentation of data. So we say that data warehouse is the technology is overall data management system in the organization. In today’s business world we are facing huge competition
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Title: The importance of data quality for modelling in transport Data is always the predominant part of a certain engineering research activity. In the transport area‚ it is extremely necessary for scientists‚ engineers and researchers to set up quantitative mathematical models or to adopt suitable modelling to understand a huge amount of transport events and then to solve transport problems. The initial function of a model is to reflect the reality so that researchers can make use of the
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2.1 Assuming that data mining techniques are to be used in the following cases‚ identify whether the task required is supervised or unsupervised learning. a. Supervised-Deciding whether to issue a loan to an applicant based on demographic and financial data (with reference to a database of similar data on prior customers). b. Unsupervised-In an online bookstore‚ making recommendations to customers concerning additional items to buy based on the buying patterns in prior transactions. c. Supervised-Identifying
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Defining Java Classes I. A class is a collection of types and methods that all somehow work together. II. The general syntax for defining a class is shown here. It may look complicated‚ because it’s written in very general form here‚ but it’s very simple. i. The square brackets in this syntax indicate optional things. ii. The first component of the class definition is called the access_mode. It will either be public‚ abstract‚ final‚ or not used at all. iii. Then comes the class keyword‚
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System Concepts for Data Modeling Crystal M. Reedus CIS 210 November 21‚ 2010 Abstract Data modeling techniques and methodologies are used to model data in a standard‚ consistent‚ predictable manner in order to manage it as a resource. Data models support data and computer systems by providing the definition and format of data. From a modeling perspective‚ the entire problem domain is viewed as a collection of class hierarchies (of objects) that are connected by messages. Data modeling techniques
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Outline of Type A and Type B personality Type A ‚ Type B personality The history of this theory The Type A and Type B personality theory (also known as the "Jacob Goldsmith theory") is a theory which describes two common‚ contrasting personality types—the high-strung Type A and the easy-going Type B. Type A personality behavior was first described as a potential risk factor for heart disease in the 1950s by cardiologists Meyer Friedman and Mike Jordan. After a ten-year study of healthy men
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Panasonic Creates a Single Version of the Truth from Its Data important mis case study CASE STUDY 1. Evaluate Panasonic’s business strategy using the competitive forces and value chain models. Panasonic is one of the world’s leading electronics manufacturers. To be effective‚ their goals‚ objectives‚ culture‚ and activities needed to be consistent with their strategy. In order to increase their profit margin‚ they had to find ways to reduce costs and increase sales. For Panasonic‚ this meant
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SOLUTIONS MANUAL DATA AND COMPUTER COMMUNICATIONS EIGHTH EDITION CHAPTERS 1 - 12 WILLIAM STALLINGS Copyright 2007: William Stallings © 2007 by William Stallings All rights reserved. No part of this document may be reproduced‚ in any form or by any means‚ or posted on the Internet‚ without permission in writing from the author. Selected solutions may be shared with students‚ provided that they are not available‚ unsecured‚ on the Web. -2- NOTICE This manual contains
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Approaches to the Analysis of Survey Data March 2001 The University of Reading Statistical Services Centre Biometrics Advisory and Support Service to DFID © 2001 Statistical Services Centre‚ The University of Reading‚ UK Contents 1. Preparing for the Analysis 5 1.1 Introduction 5 1.2 Data Types 6 1.3 Data Structure 7 1.4 Stages of Analysis 9 1.5 Population Description as the Major Objective 11 1.6 Comparison as the Major Objective
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