survived or didn’t survive. If I apply a decision tree to the dataset as it is‚ I get a prediction rate of 78%. I will try various techniques throughout this report to increase the overall prediction rate. Data mining objectives: I would like to explore the pre conceived ideas I have about the sinking of the titanic‚ and prove if they are correct. Was there a majority of 3rd class passengers who died? What was the ratio of passengers who died‚ male or female? Did the location of cabins make a difference
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reason that all companies shouldn’t use data warehousing technology? Information is the most important tool when making business decisions. As O’Brien and Marakas stated‚ “Today’s business enterprises cannot survive or succeed without quality data about their internal operations and external environment.” Companies that have large amounts of available data can use the information to come up with operational advantages. The Data‚ Information‚ Knowledge‚ Wisdom (DIKW) Pyramid shows how raw data can
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Title: “Data Mining: The Mushroom Database” Author: Hemendra Pal Singh* In this review “Data Mining: The Mushroom Database” is focuses in the study of database or datasets of a mushroom. The purpose of the research is to broaden the preceding researches by administer new data sets of stylometry‚ keystroke capture‚ and mouse movement data through Weka. Weka stands for Waikato environment for knowledge analysis‚ and it is a popular suite of machine learning software written in Java‚ developed at
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KILLING FOR COAL THE SHIFT IN ECONOMIES Up until the 1800s‚ America was almost exclusively an organic economy‚ one in which people met their needs of food‚ fuel‚ shelter‚ and clothing by harvesting energy and materials from the plants‚ animals‚ rivers‚ and wind. The growth potential of organic economies remained constrained by the limited ability of people to tap into the sun’s energy through farms‚ windmills‚ waterwheels‚ etc. Carbon-based fuel use began in the late eighteenth century. The Industrial
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Background Info: Mining Company: $16 Million + $2.6 million annually City Council: none(every dollar spent must be collected by increasing taxes) The Bond: Principal: is due once‚ 25 years from now. May be managed by depositing capital in an interest bearing account that compounds for 25 years Interest: Payable yearly Capital Costs: Filtration Plant: $20 Million Plant Improvements: $8 million Paving Roads: $4.8 million Annual Costs: Road Maintenance: $600‚000 / yr Exercise:
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Stone Crushers For Diamond Crushing Stone crushers for diamond crushing are produced by Zenith‚ which is an expert stone crushers and ore mining equipment manufacturer and supplier in China. Diamond will be the hardest substance in purely natural. The 1st phase of diamond excavation must be drilled and exploded into large particle. Then the massive raw material is going to be crushed by stone crushers. As a way to meet the users’ requirement‚Zenith specialists style stationary stone jaw crusher
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Project Proposal Statistical Learning and Data Mining Overview: Efficient asset allocation through statistical learning methods and comparison of methods for the creation of an index tracking ETF (Exchange traded fund) Datasets: The datasets are chosen from the website of the book “Statistics and Data Analysis for Financial Engineering” by David Ruppert. The book is mentioned as one of the references for this course. The two data sets chosen are 1. Stock_FX_Bond.csv 2. Stock_FX_Bond_2004_to_2006
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If I Could Change One Thing About Myself Perhaps‚ one of the most unpleasant feelings one can experience in life is being discontent with oneself. Whereas we are prone to notice negative features in other people‚ we rarely turn our eyes on ourselves to critically evaluate our behavior or personal qualities. But‚ if we do‚ we can notice many traits within ourselves that we would not like to be there. I try to stay tolerant towards the majority of my personality features. Though‚ simultaneously with
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Data Warehouses and Data Marts: A Dynamic View file:///E|/FrontPage Webs/Content/EISWEB/DWDMDV.html Data Warehouses and Data Marts: A Dynamic View By Joseph M. Firestone‚ Ph.D. White Paper No. Three March 27‚ 1997 Patterns of Data Mart Development In the beginning‚ there were only the islands of information: the operational data stores and legacy systems that needed enterprise-wide integration; and the data warehouse: the solution to the problem of integration of diverse and often redundant
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check punctuations and phrases. Then later on as the technology advanced and the science of engineering flourished‚ these grammar checkers became more and more advanced. Today practically speaking we cannot do without these grammar checkers. Big things come in small packages!! How so ever small this application may seem to be‚ it actually is a very important tool without which we cannot do. Imagine if all the spell check had to be done manually or if hours are spent to grammatically correct a
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