necessity for a businesses trying to maximize its profits. A new‚ and important‚ tool in gaining this knowledge is Data Mining. Data Mining is a set of automated procedures used to find previously unknown patterns and relationships in data. These patterns and relationships‚ once extracted‚ can be used to make valid predictions about the behavior of the customer. Data Mining is generally used for four main tasks: (1) to improve the process of making new customers and retaining customers; (2) to
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Asia/Pacific demand China has shown strong growth in mining equipment demand‚ a direct result of investment in its local mining industry. For example‚ coal output nearly doubled from 2001 to 2006‚ reflecting the nation’s intense need for energy. China is also a major source of commodities such as iron ore and bauxite. Other major Asian markets for mining equipment include Australia and India. Like China‚ India has experienced a major growth in coal output. Australia is a leading producer of bauxite
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Batangueños vs planned coal-fired power plant Amen (or the Archdiocesan Ministry on Environment) is not saying amen to the 600-megawatt coal-fired power plant (CFPP) that JG Summit Corp. plans to build in Barangay Pinamucan Ibaba in Batangas City. Amen and the No to Coal-Fired Power Plant Coalition are leading the citizens’ protest. Coal is among the dirtiest sources of energy. The furor over the proposed CFPP in Palawan has not drowned out the Batangueños’ own protest against a similar threat to
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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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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 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: What is the practical application of text mining? Text mining can be applied in different ways. In this section‚ I will discuss 4 ways in which text mining is used. A. Search Engines Text mining can be used to create suggestions or recommendations based on user input; the Google search engine is a good example of this. As per Figure 1.1 below‚ if a person were to type the word ‘Education’ in the search engine‚ Google would retrieve results containing the word ‘Education’ in the
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Gold mining is the extraction of gold from the formation of gold-rich process. There are a variety of techniques can be mined from the formation of the gold‚ the most primitive way is gold‚ then after Gold Separation Equipment Sieving. Currently on industrial multi-purified gold cyanide‚ but cyanide toxic‚ and therefore are developing new gold extraction reagents. Gold mining major ways: open pit gold mining can be divided into two and underground mining to underground mining based
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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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