governing the minerals industry in the Philippines is contained in Republic Act No. 7942 (otherwise known as the Philippine Mining Act of 1995) and given flesh by its revised implementing rules and regulations (Administrative Order No. 96-40) and its subsequent amendments. These policies advocate the sustainable development of mineral resources in the country. While both the Mining Act and its regulations provide a strong focus on environmental and social management‚ they continue to be the subject
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Data Mining Information Systems for Decision Making 10 December 2013 Abstract Data mining the next big thing in technology‚ if used properly it can give businesses the advance knowledge of when they are going to lose customers or make them happy. There are many benefits of data mining and it can be accomplished in different ways. The problem with data mining is that it is only as reliable as the data going in and the way it is handled. There are also privacy concerns with data mining
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Lovely professional university CASE STUDY OF DATA MINING Summitted by Jatin Sharma Roll no -32. Reg. no 10802192 A case study in Data Warehousing and Data mining Using the SAS System. Data Warehouses The drop in price of data storage has given companies willing to make the investment a tremendous resource:
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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: 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 DeMarcus Montgomery Dr. Janet Durgin CIS 500 June 9‚ 2013 Determine the benefits of data mining to the businesses when employing 1. Predictive analytics to understand the behavior of customers Predictive analytics is business intelligence technology that produces a predictive score for each customer or other organizational element. Assigning these predictive scores is the job of a predictive model‚ which has‚ in turn been trained over your data‚ learning from the experience
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initially seen for her monochorionic twin gestation. At that time‚ the plan was to follow-up through your office. She was referred last week for transfer of care and is now being followed through our office. At last weeks ultrasound there was a fairly significant discordance at 31%‚ although twin A was not IUGR. She is here today for twin-to-twin transfusion syndrome check. On ultrasound there is a live monochorionic twin gestation. Twin A is breech and twin B is cephalic. Amniotic fluid appears
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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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Garret M. Gwozdz Ms. Vertiz English I-H./4 28 March 2013 The Mad Twins The Count of Monte Cristo‚ written by Alexandre dumas in 1845‚ has fascinated and intrigued readers for centuries‚ with its numerous gothic elements and motifs. It was written in France during the time after Napoleon was dethroned in 1844. Alexandre Dumas took a tour of Southern France in 1834 and much of the information that he gained on the tour was used to write this novel including the City of Marseille. The novel‚ with
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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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