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    Data Mining

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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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    development of the Internet from web 1.0 to web 3.0. Marion Villanyi ST20035596 Introduction The web was created in 1989 by Sir Til Berners-Lee‚ working at CERN (The European Organization for Nuclear Research) in Geneva‚ Switzerland. A web service is defined as a software system designed to support computer-to-computer interaction over the Internet. The World Wide Web‚ and related technologies‚ has had much progress since its advent. Nowadays‚ we speak about Web 1.0‚ 2.0‚ 3.0 and even 4.0 and

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    External Data Integration

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    Applications Using External Data Integration Services Table of Contents Introduction 4 External Data Integration Services: Overview 4 Integration Points to consider 5 Locating File Import Templates: Explained 5 Prepare Data Files 6 Data Integration using Manual Flow 7 File for Import and Export: Highlights 7 File for Import and Export: Explained 8 Load Interface File for Import Process 10 Importing Data into Application Tables: Procedure 11 Flow Automation using Web Service 12 Introduction

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    Backup and Restore of SQL Server Databases SQL Server 2012 Books Online Summary: This book describes the benefits of backing up SQL Server databases‚ basic backup and restore terms‚ and introduces backup and restore strategies for SQL Server and security considerations for SQL Server backup and restore. Category: Reference Applies to: SQL Server 2012 Source: SQL Server Books Online (link to source content) E-book publication date: June 2012 Copyright © 2012 by Microsoft Corporation All rights

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    Data Communication

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    wiring and hub the star topology is becoming more popular in current networks.  Specific hardware is then needed to terminate the coaxial cable ends so that signals traveling to the end of the bus will not return as repeat data transmissions.  Mostly use coaxial cables to data transmitted between switches and computers. Switches are known who the destinations of its incoming packets are. Therefore not busy as the bus

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    SOCHIPEM CHAMROY 1107008 Submitted on 27 August 2012 Submitted sdd Business report on Port of Tauranga Limited 1 INTRODUCTION 2 2 DISCUSSION ON FINDINGS 3 2.2 PORT OF TAURANGA. 4 2.3 BUSINESS PERFORMANCE. 5 2.4 SHARE PERFORMANCE. 7 2.5 FINANCIAL STABILITY 8 3 CONCLUSION 11 4 RECOMMENDATIONS 12 5 REFERENCE LIST 12 6 APPENDICES 14 1 INTRODUCTION This Business report has

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    Big Data

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    Big DataData Mining and Business Intelligence Techniques 2 What is Data? • Data is information in a form suitable for use with a computer. • There are two types of data ▫ Structured ▫ Unstructured • The total volume of data is growing 59% every year. • The number of files grow at 88% every year. 3 What is Big Data? Exa Analytics on Big Data at Rest Up to 10‚000 Times larger Peta Data Scale Giga Data at Rest Tera Data Scale Mega Traditional Data Warehouse

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    Requirements for Unknown Report You have been provided a mixed culture (a gram positive and a gram negative) from which you should have isolated each type of organism‚ described their colonies on a TSA plate‚ and described their cellular morphology. You were graded on this activity separately. After you have isolated your gram negative in pure culture you will be subjecting it to various biochemical tests and making observations about the cells‚ colonies‚ growth temperature preferences‚ etc. in

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    Data Masking

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    An Oracle White Paper July 2010 Data Masking Best Practices Oracle White Paper—Data Masking Best Practices Executive Overview ........................................................................... 1 Introduction ....................................................................................... 1 The Challenges of Masking Data ....................................................... 2 Implementing Data Masking .............................................................. 2

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    Coursework - COMP1645 Information Requirements Analysis Coordinator: Elaine Major Student Name: Md.Nafiz Chowdhury Student ID: 000844321 Date: 25 April‚ 2014 1|P ag e Table of Contents Introduction ...............................................................................................................................3 Part A: A requirement analysis using rich picture .................................................................4 A1: Rich picture diagram ................

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