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    Data Mining

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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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    mining method

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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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    Data Mining

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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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    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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    Data Mining

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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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    Gold Rush

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    INTRODUCTION: The Australian gold rush affected Australian society in many ways. One example can be the Eureka Stockade‚ Australia’s only armed protest by gold miners POPULATION: The gold rushes in the second half of the 19th century would completely change the face of Australia. Before 1851‚ Australia’s combined white population was approximately 77‚000. Most of those had been convicts sent by ship over the previous seventy years.  The gold rush completely changed that however. In the two

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    Separation of Gold

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    decided to do is gold separation. Gold separation can be done in a number of ways but there is not always one way to do it‚ but the combination of a couple of these processes to extract pure gold. Gold is obtained form the lithosphere. It is separated from the ore found in the lithosphere. Gold’s symbol is Au. Its atomic number is 79 and has an atomic mass of 196.96655 amu. Its melting point is 1064.43°C‚ while its boiling point is 2807.0 °C. It is a transition metal and is yellow or gold in colour

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    Data Mining

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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

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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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    Investment in Gold

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    The advantages and disadvantages of investment in gold: Like investment in any other precious metal‚ investment in gold also has many advantages as compare with other kind of investing such as bond and stock. • It may not be the most obvious choice for a new investor‚ but it always is the safest choice. When choosing an investment‚ there are many factors to consider and every investor has to make sure that the investment he chooses is suitable for his budget and also for his financial goal

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