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    Data mining

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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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    Data Mining

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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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    Responsible Mining

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    I.Introduction Philippines’ minerals are the country’s assets‚ many mining applications and projects in the Philippines are also in small islands with fragile ecosystems that are also highly vulnerable to natural and climate hazards. The Philippines is one of the richest mining deposits globally. According to estimates‚ the Philippines have the fifth largest reserve of minerals in the world. It has the world’s 3rd largest gold‚ 4th largest copper‚ and 5th largest nickel reserves. The Intellasia

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    Chemistry and Mining

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    Stoichiometry in the Industry (Mining Industry) Prepared By: Ryan Khan and Michael McDonald Course code: SCH3U1 Teacher: Miss Kedzia Due Date: 22/4/2013 Date Submitted: 22/4/2013 What Is Stoichiometry? Stoichiometry as defined by our textbook is “the study of the quantitative relationships among the amounts of reactants used and the amounts of products formed in a chemical reaction”. Basically‚ Stoichiometry is the science of counting and studying the relationship between the amounts

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    earth mining

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    Introduction Denver-Based New Earth Mining‚ one of the largest US precious metal producers‚ was enjoying rapid growth in earnings with the continued improvement of its operating margins. New Earth Mining had accumulated a large amount of cash on its balance sheet. It had a simple debt structure and a reasonable leverage ratio with no significant risk of liquidity. With its strong financial condition and the desire to diversify its business though new capital investments rather than acquisition‚

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    Gold Mining

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    Gold Digging Gold mining is one of the most destructive industries in the world. It can displace communities‚ hurt workers‚ destroy environments and contaminate drinking water. Water and land become polluted with mercury and cyanide which endangers ecosystems‚ animals and people. the health of people and ecosystems. Toxic mine waste contains many dangerous chemicals including arsenic‚ cyanide‚ lead‚ acids‚ merry and petroleum byproducts. Mining companies worldwide dump toxic waste into

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    Data Mining

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    Data Mining Weekly Assignment 6: LIFT; CRM; AFFINITY POSITIONING; CROSS-SELLING AND ITS ETHICAL CONCERNS. What is meant by the term “lift”? The term “lift” describes the improved performance of an exact or specific amount of effort on a modeled sampling‚ as opposed to a random sampling (Spang‚ 2010). In other words‚ if you are able to market via a model to say‚ a given number of random customers (e.g. 1000)‚ and we expect that 50 of them would be successful‚ then a model that can generate 75

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    Data Mining

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    Data Mining: What is Data Mining? Overview Generally‚ data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue‚ cuts costs‚ or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles‚ categorize it‚ and summarize the relationships identified

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    Data Mining

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    Data Mining Abdullah Alshawdhabi Coleman University Simply stated data mining refers to extracting or mining knowledge from large amounts of it. The term is actually a misnomer. Remember that the mining of gold from rocks or sand is referred to as gold mining rather than rock or sand mining. Thus‚ data mining should have been more appropriately named “knowledge mining from data‚” which is unfortunately somewhat long. Knowledge mining‚ a shorter term‚ may not

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    data mining

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    4 Components of DSS (Decision Support System) Data Store – The DSS Database Data Extraction and Filtering End-User Query Tool End User Presentation Tools Operational Stored in Normalized Relational Database Support transactions that represent daily operations (Not Query Friendly) Differences with DSS 3 Main Differences Time Span Granularity Dimensionality Operational DSS Time span Real time Historic Current transaction Short time frame Long time frame Specific Data facts Patterns Granularity

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