Data mining is a concept that companies use to gain new customers or clients in an effort to make their business and profits grow. The ability to use data mining can result in the accrual of new customers by taking the new information and advertising to customers who are either not currently utilizing the business ’s product or also in winning additional customers that may be purchasing from the competitor. Generally‚ data are any “facts‚ numbers‚ or text that can be processed by a computer.” Today
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of the database applications. 2. What is the role of the database in the IS generic architecture? 3. What is file-based system? Give 2 examples of FBS. 4. What are main limitations of FBS? 5. What is database? 6. What does it mean that database is self-describing collection of interrelated records? 7. What does it mean that data is integrated? 8. What does it mean that database is collection of logically related data? 9. What is DBMS? 10. What are the main categories of database languages
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Use of database management systems to meet business needs. Submitted By: Course Title: Strategic Planning for Database Systems Date: Introduction Globalization and increased speed in business intensify competition‚ and most firms need to continuously innovate to ensure long term competitiveness. (Bjork and Magnusson‚ 2009) In the last couple of years business has seen huge transformations from the way it is conducted. Any small business may eventually grow into a bigger one or may
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CS251 – 1102B – 05 Prof. Cathy Vandercreek Phase 4 Individual Project June 13‚2011. Table of Contents SECTION HEADING: Phase 1 – Gathering all necessary Information for Database Design 1. Scope of Project 2. Project Identification 3. Database Overview 4. Document Overview
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Data Mining Assignment 4 Shauna N. Hines Dr. Progress Mtshali Info Syst Decision-Making December 7‚ 2012 Benefits of Data Mining Data mining is defined as “a process that uses statistical‚ mathematical‚ artificial intelligence‚ and machine-learning techniques to extract and identify useful information and subsequent knowledge from large databases‚ including data warehouses” (Turban & Volonino‚ 2011). The information identified using data mining includes patterns indicating trends‚ correlations
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with the system operating in a hospital environment. It looks into how patients’ records are being managed in most Nigerian hospitals. It considers St. Andrews Hospital Lagos as a case study. It looks into the problems occurring within the hospital especially as it pertain to managing patients’ record‚ diagnosis‚ prescription details etc. Solution is offered to overcome these problems using hospital management system software. This report outlines the design of the hospital management system and the
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SOFTWARE REQUIREMENTS SPECIFICATION (SRS) FOR Student and Unit Management System (SUMS) – Registration Module Version 1.0 Prepared by: YEUNG Kam Fung (Ivan) Prepared for: Jim Briggs‚ University of Portsmouth DOCUMENT CHANGE HISTORY |Version Number |Date |Description | |1.1 |8th December 2005 |Jim made some formatting and content |
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AGGREGATED CATERING SYSTEM PROJECT REPORT 11/12/2012 Contents 1 Problem Description ..............................................................................................................................................3 1.1 Description of the organization ................................................................................................................3 1.2 Scope of the database ......................................................................................
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Database Environment Brandon Smith DBM/380 10-8-2012 Kenneth Hoskins Database Environment “A database is a structured collection of records or data that is stored in a computer system. In order for a database to be truly functional‚ it must not only store large amounts of record‚ but also be able to access those records fast and efficiently. In addition‚ new information and changes should also be easy to input.” (tech-faq.com) To be useful over a long term the database should be able
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ISM 6215 - Business Database Systems I Fall 2013 Home Work – 1 (Marks 100) Question 1 - Contrast the following terms. Give one example of each 1. Degree versus cardinality of relationship 2. Required versus optional attributes 3. Data dependence versus data independence 4. Structured versus unstructured data (4*2.5 =10 marks) Answer 1 - Degree; cardinality. The degree (of a relationship) is the number of entity types that participate in that relationship‚ while cardinality is a
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