This document of DBM 380 Syllabus shows the following information: Course Description This course covers database concepts. Topics include data analysis‚ the principal data models with emphasis on the relational model‚ entity-relationship diagrams‚ database design‚ normalization‚ and database administration. General Questions - General General Questions DBM/380 College of Information Systems Technology Database Concepts LATEST VERSION OF SYLLABUS DBM380 Week 1 Individual Assignment
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/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
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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
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Database Environment Paper Victoria A. Provencal Database Concepts/DBM-380 Monday‚ December 15‚ 2014 Instructor: William McKown Database Environment Paper Database environments are very important in today’s industries. In selecting an organization that will need a database‚ I choose Smith Consulting. Smith Consulting will need a database to track their consulting staff‚ each staff member’s skill sets‚ and what projects they will be working on. This document will provide information on the following
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Establishing a Center of Excellence for Data Mining in Egypt By: Aref Rashad I- Introduction The convergence of computer resources connected via a global network has created an information tool of unprecedented power‚ a tool in its infancy. The global network is awash with data‚ uncoordinated‚ unexplored‚ but potentially containing information and knowledge of immense economic and technical significance. It is the role of data mining technologies arising from many discipline areas to convert
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Components of DSS (Decision Support System) Data Store – The DSS Database Data Extraction and Filtering End-User Query Tool End User Presentation Tools Operational Stored in Normalized Relational Database Support transactions that represent daily operations (Not Query Friendly) Differences with DSS 3 Main Differences Time Span Granularity Dimensionality Operational DSS Time span Real time Historic Current transaction Short time frame Long time frame Specific Data facts Patterns Granularity Specific
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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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Data Mining DeMarcus Montgomery Dr. Janet Durgin CIS 500 June 9‚ 2013 Determine the benefits of data mining to the businesses when employing 1. Predictive analytics to understand the behavior of customers Predictive analytics is business intelligence technology that produces a predictive score for each customer or other organizational element. Assigning these predictive scores is the job of a predictive model‚ which has‚ in turn been trained over your data‚ learning from the experience
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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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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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