STELLA MARIS COLLEGE - DEPARTMENT OF COMPUTER SCIENCE DB34 - Database Management Systems UNIT I : Advantages and Components of a Database Management Systems - Feasibility Study - Class Diagrams - Data Types –Architecture- Events - Normal Forms - Integrity – EER model - Converting Class Diagrams to Normalized Tables - Data Dictionary. UNIT II : Query Basics - Computation Using Queries - Subtotals and GROUP BY Command - Queries with Multiple Tables - Subqueries - Joins - DDL & DML - Testing
Premium SQL Database Relational model
technology‚ braking systems have also been constantly evolving to offer precision braking facility in modern cars. The two prime braking technologies developed over the course of time are drum brakes and disc brakes. In the following essay I am going to describe the two different types and point out the advantages and disadvantages of drum and disc brakes. Before we make a distinction between discs and drums‚ let me explain the basic working principle of any braking system installed in cars.
Premium
Database Architecture DBM/380 –Database Concepts September 9‚ 2013 Sandra Graca Database Architecture Database systems are a way to collect and store large amounts of data. Essentially‚ database are electronic filing systems that store raw data to be later retrieved as useable information (Skillport‚ ). Using such a tool simplifies the filing and storage of all sorts of information used by businesses today. A common type of database is a customer/inventory database. Different tables
Premium Database Database management system SQL
Data Mining Abdullah Alshawdhabi Coleman University Simply stated data mining refers to extracting or mining knowledge from large amounts of it. The term is actually a misnomer. Remember that the mining of gold from rocks or sand is referred to as gold mining rather than rock or sand mining. Thus‚ data mining should have been more appropriately named “knowledge mining from data‚” which is unfortunately somewhat long. Knowledge mining‚ a shorter term‚ may not
Premium Data mining
Chapter 1 Exercises 1. What is data mining? In your answer‚ address the following: Data mining refers to the process or method that extracts or \mines" interesting knowledge or patterns from large amounts of data. (a) Is it another hype? Data mining is not another hype. Instead‚ the 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. Thus‚ data mining can be viewed as the result of
Premium Data mining
Data Mining Weekly Assignment 6: LIFT; CRM; AFFINITY POSITIONING; CROSS-SELLING AND ITS ETHICAL CONCERNS. What is meant by the term “lift”? The term “lift” describes the improved performance of an exact or specific amount of effort on a modeled sampling‚ as opposed to a random sampling (Spang‚ 2010). In other words‚ if you are able to market via a model to say‚ a given number of random customers (e.g. 1000)‚ and we expect that 50 of them would be successful‚ then a model that can generate 75
Premium Customer relationship management
/380 Database Design Paper DBM/380 October ‚ 2012 University of Phoenix Database Design Paper A database is a set of programs and applications used to store data‚ this allows the data to be used by different individuals in different areas and access information from it quickly. A database stores the information so it can be used at a later time so additional information can be added‚ taken away‚ or used as needed. Once in the database the data is compressed so it takes up less space
Premium Relational model Database SQL
Data Mining Information Systems for Decision Making 10 December 2013 Abstract Data mining the next big thing in technology‚ if used properly it can give businesses the advance knowledge of when they are going to lose customers or make them happy. There are many benefits of data mining and it can be accomplished in different ways. The problem with data mining is that it is only as reliable as the data going in and the way it is handled. There are also privacy concerns with data mining
Premium Data mining
ASKARI DANIYAL ARSHAD 2 OUTLINE DBMS DATA MINING APPLICATIONS RELATIONSHIP 3 DATA BASE MANAGEMENT SYSTEM A complete system used for managing digital databases that allow storage of data‚ maintenance of data and searching data. 4 DATA MINING Also known as Knowledge discovery in databases (KDD). Data mining consists of techniques to find out hidden pattern or unknown information within a large amount of raw data. 5 EXAMPLE An example to make it
Premium Data mining Data analysis
Information Systems Management Research Project ON Data Warehousing and Data Mining Submitted in Partial fulfilment of requirement of award of MBA degree of GGSIPU‚ New Delhi Submitted By: Swati Singhal (12015603911) Saba Afghan (11415603911) 2011-2013
Premium Data mining