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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Chapter 1 Exercises 1. What is data mining? In your answer‚ address the following: Data mining refers to the process or method that extracts or \mines" interesting knowledge or patterns from large amounts of data. (a) Is it another hype? Data mining is not another hype. Instead‚ the need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. Thus‚ data mining can be viewed as the result of the
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GOLD RUSH‚ THE IMPACT OF MINING ON POOR PEOPLE INTRODUCTION 1. Ghana has been blessed with a lot of minerals including gold‚ diamond and bauxite. These have been mined over the years in various ways for the development of the country. Ghana’s huge mineral wealth is well known as the country is ranked ninth in the world for recognised gold deposits. 2. We often hear on news the death of illegal miners caused by a collapse cave or them being buried alive in collapse pits. Lands of
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1. One organization that I feel has the best longterm position in terms of their stock market price is Barrick Gold. http://finance.yahoo.com/q/bs?s=ABX+Balance+Sheet&annual http://www.barrick.com/investors/annual-report/financial-highlights/default.aspx The most important factor in any organization from what I learnt is how much it can pay its shareholders in dividends. Barrick gold has increased per year their annualized dividend US cents per share from 48 cents per share in 2010 to 60 cents
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Introduction to Adit Mining Adit mining is a method of extract minerals from earth horizontally. An adit is a type of entrance to an underground mine which is horizontal or nearly horizontal. Adits are usually built into the side of a hill or Mountain‚ and often occur when a measure of coal or an ore body is located inside the mountain but above the adjacent valley floor or coastal plain. In cases where the mineral vein outcrops at the surface‚ the adit may follow the vein until it is worked
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Data Mining On Medical Domain Smita Malik‚ Karishma Naik‚ Archa Ghodge‚ Shivani Gaunker Shree Rayeshwar Institute of Engineering & Information Technology Shiroda‚ Goa‚ India. Smilemalik777@gmail.com; naikkarishma39@gmail.com; archaghodge@gmail.com; shivanigaunker@gmail.com Abstract-The successful application of data mining in highly visible fields like retail‚ marketing & e-business have led to the popularity of its use in knowledge discovery in databases (KDD) in other industries
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Sandra Annette Bullock was born in Arlington‚ a Virginia suburb of Washington‚ D.C. Her mother‚ Helga Bullock (née Helga Mathilde Meyer)‚ was a German opera singer. Her father‚ John W. Bullock‚ was an American voice teacher‚ who was born in Alabama‚ of Irish‚ English‚ French‚ and German descent. Sandra grew up on the road with her parents and younger sister‚ chef Gesine Bullock-Prado‚ and spent much of her childhood in Nuremberg‚ Germany. She often performed in the children’s chorus of whatever production
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Introduction to Data Mining Assignment 1 Ex1.1 what is data mining? (a) Is it another hype? Data mining is Knowledge extraction from data this need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. So‚ data mining definitely is not another hype it can be viewed as the result of the natural evolution of information technology. (b) Is it a simple transformation of technology developed
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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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California Gold Rush changed California by creating a larger and more diverse population‚ establishing San Francisco as one of the premier trade and banking cities in the nation‚ and the eruption of mining “boom towns.” By the winter of 1848‚ rumors of gold had drifted eastward across the country‚ but few easterners believed them. The gold discovery needed validation and President James Polk delivered that in early December of 1848. Every family within the nation was discussing gold in the west
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