ANT Turkey’s government launched two investigations on into the latest of several fatal accidents at the country’s leading shipyard‚ where about two dozen workers have died in the past year. The government already had recommended better training and stricter safety measures to end workrelated deaths at the booming Tuzla shipyard on Istanbul’s eastern tip. But on Monday three workers died there in another accident. A lifeboat that employees were on broke free from a ship under repair and plunged into
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Knowing Your Audience BComm/275 Dr. Don By: Karita Anderson August 26‚ 2013 Chilean Copper Mine When giving information to a group of people you should first know your audience‚ or intended target. If the information used is regarding a disaster‚ or something that involves someone getting hurt‚ it is extremely important to make sure that the company knows there audience and who will be receiving the information. According to Cheesebro‚ O’Conner‚ and Rios‚ “the key to effective communication
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WEB MINING: AN INTRODUCTORY APPROACH Lavalee Singh1 Arun Singh2 1 M.Tech (C.S.) Student IIMT Engineering College Meerut (U.P.) India lovely_198631@rediffmail.com 2Associate Professor IIMT Engineering College Meerut (U.P.) India
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Web Mining Data mining is the nontrivial process of identifying valid novel‚ potentially useful‚ and ultimately understandable patterns in data – Fayyad. The most commonly used techniques in data mining is artificial neural networks‚ decision trees‚ genetic algorithm‚ nearest_neighbour method‚ and rule induction. Data mining research has drawn on a number of other fields such as inductive learning‚ machine learning and statistics etc. Machine learning – is the automation of a learning process
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Stock Exchange forecasting with Data Mining and Text Mining (Marketing and Sales Analysis) Full names : Fahed Yoseph TITLE : Senior software and Database Consultatnt (Founder of Info Technology System) E-mail: Yoseph@info-technology.net Date of submission: Sep 15th of 2013 CONTENTS PAGE Chapter 1 1. ABSTRACT 2 2. INTRODUCTION 3 2.1 The research problem. 4 2.2 The objectives of the proposal. 4 2.3 The Stock Market movement. 5 2.4 Research question(s). 6 2. Background 3. Problem
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P D Y Chapter 3 1 0 2 SURFACE MINING METHODS REFERENCE: BULLIVANT‚ DA. Current Surface Mining Techniques. Journal for the Transportation of Materials in Bulk: Bulk Solids Handling‚ vol 7‚ n6‚ December 1987‚ pp827-833. 2.1 Ore reserves Suitable for Surface Mining Ore reserves suitable for surface mining can be classified initially as; Relatively horizontal stratified reserves with a thin or thick covering of overburden Stratified vein-type deposits with an inclination steeper
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SMS CUSAT Reading Material on Data Mining Anas AP & Alex Titty John • What is Data? Data is a collection of facts and information or unprocessed information. Example: Student names‚ Addresses‚ Phone Numbers etc. • What is a Database? A structured set of data held in a computer which is accessible in various ways. Example: Electronic Address Book‚ Phone Book. • What is a Data Warehouse? The electronic storage of large amount of data by business. Concept originated in
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want to deliver a message to a crowd and you want effective communication‚ it is very important to take this in consideration in order to have effective listeners. In the Chilean mine collapse case some factors to consider before communicating the incident to the public are the family members of the trapped miners‚ the mining business itself‚ other miners from other businesses‚ copper industry‚ and the country of chile. What effect will the information have on each element in the way you communicate
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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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Question 1: Case One –eBay Q1.1. Discuss the relationships between business intelligence‚ data warehouse‚ data mining‚ text and web mining‚ and knowledge management. Justify and synthesis your answers/viewpoints with examples (e.g. eBay case) and findings from literature/articles. To understand the relationships between these terms‚ definition of each term should be illustrated. Firstly‚ business intelligence (BI) in most resource has been defined as a broad term that combines many tools and technologies
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