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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Thesis Statement: The continuous mining in Palawan will cause degradation of the soil‚ denuding of the forests and extinction of animal and plant species thus lowering its’ biodiversity. Biological diversity‚ or biodiversity‚ encompasses the variety and abundance of plants‚ animals‚ and microorganisms as well as the ecosystems and ecological processes to which they belong. (Braatz‚ 1992) The word came from the Latin “bios” which means life and “diversitas” which means variety or differences which
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sulfide mining. In Minnesota the conventional taconite and iron mining have not generally gone to arrange. In the 1960’s taconite was extremely mainstream in the economy‚ however in the following forty years a great deal of mining organizations shut down because of high rivalry. Nationals crosswise over Minnesota are not just terrified that a similar thing will happen‚ they are frightened of the dangers on sulfide mining and how it could influence them and their day by day lives. Sulfide mining is ended
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CS 450 Data Mining‚ Fall 2014 Take-Home Test N#1 Date: September 22nd‚ 2014 Final deadline for submission September 29th‚ 2014 Weighting: 5% Total number of points: 100 Instructions: 1. Attempt all questions. 2. This is an individual test. No collaboration is permitted for assessment items. All submitted materials must be a result of your own work. Part I Question 1 [20 points] Discuss whether or not each of the following activities is a data mining task. • Dividing
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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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Mining Speech Good morning/ afternoon fellow classmates and teacher‚ the topic of my speech is one of Canada’s Industries- mining. Mining is a big part of Canada’s economy and is a major contributor‚ contributing to nearly 5% of Canada’s Gross Domestic Product (also known as GDP). The exporting of aluminum‚ copper‚ gold‚ iron and steel‚ iron ore‚ nickle‚ silver‚ uranium‚ zinc‚ diamonds‚ potash‚ and coal ranged from $1.7 billion to $15.1 billion. As we can see from the point just said‚ mining
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directly contributes in our national economy. Among various natural resource‚ only two natural resources and their management status was observed. Hard rock- Maddhyapara Hard Rock Mining Company Limited (MHMCL)‚ Dinajpur. Coal- Barapukuria Coal Mining Company Limited (BCMCL)‚ Dinajpur. 1.2.1- Maddhyapara Hard Rock Mining Company Limited (MHMCL) This company formed to accelerate the construction works of Maddhyapara mine and operate the Maddhyapara Hard Rock Mine Project of Petrobangla at Dinajpur
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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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