exactly how to‚ you just watch almost in tears as this puppy stays there very gloom and soaking wet. You finally decide to take a leap of chance and help the puppy‚ you go outside and the puppy gently lifts his head toward you and you notice it’s a pit bull. He is so skinny‚ starved‚ and parched‚ with the only thing to drink being muddy rain water. You slowly move closer and pet him‚ he lays his head on your leg‚ so you pick him up gently in your arms and you take him inside. When you set him down
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In Poe’s story the “The Pit and the Pendulum” he distinctively uses symbolism‚ repetition‚ mood and diction to tell a tale of hope over circumstance to make this story come to life for the reader. Unlike the hypersensitive characters from other stories‚ such as the narrator in “The Tell-Tale Heart‚” this narrator claims to lose the capacity of sensation during the swoon upon receiving his death sentence that opens the story. This story is different from Poe’s other works such as this narrator remains
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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 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 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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Vaim Faqs Steve Kimbrough May 10‚ 2006 1 What does the word vaim mean? The word vaim has two meanings: 1. In Estonian‚ the word vaim means ghost (http://et.wikipedia.org/wiki/Vaim). See http://www.logosdictionary.com/pls/dictionary/new dictionary.gdic.sl? phrase code=5573701 for the pronunciation. 2. The word vaim is an acronym‚ abbreviating Value-Added Information Mash. The two meanings are unrelated. It is permitted to pronounce both words in the Estonian fashion. 2 What is
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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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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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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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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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