billion bytes of data in digital form be it on social media‚ blogs‚ purchase transaction record‚ purchasing pattern of middle class families‚ amount of waste generated in a city‚ no. of road accidents on a particular highways‚ data generated by meteorological department etc. This huge size of data generated is known as big data. Generally managers use data to arrive at decision. Marketers use data analytics to determine customer preferences and their purchasing pattern. Big data has tremendous potential
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000=$100‚000 In its December 31‚ 2013‚ balance sheet‚ Rigsby would report In 2013‚ Rigsby would recognize realized gross profit of: entry at December 31‚ 2013? Gross profit % = ($4‚500‚000-3‚600‚000)/$4‚500‚000=20% 2013:20%x$500‚000=$100‚000In 2014‚ Rigsby would recognize realized gross profitof:Grossprofit%=($4‚500‚000-3‚600‚000)/$4‚500‚000=20%2013:20%x$500‚000=$100‚0002014:20%x[($4‚500‚000-500‚000)/2]= $400‚000 In its December 31‚ 2013‚ balance sheet‚ Rigsby would report: At December 31
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the establishment of its ultimate relationship with cost centers and cost units. The institute of Cost and Works Accountant ICWA defines “Cost accounting is the technique and process of ascertainment of cost. Cost accounting is the process of accounting for cost‚ which‚ begins with recording of expenses or the basis on which they are calculated and end with preparation of statistical data. Cost Accountancy: - Cost accountancy is used to describe the principles‚ conventions‚ techniques and systems
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ict policy Data Protection ICT/DPP/2010/10/01 1. Policy Statement 1.1. Epping Forest District Council is fully committed to compliance with the requirements of the Data Protection Act 1998 which came into force on the 1st March 2000. 1.2. The council will therefore follow procedures that aim to ensure that all employees‚ elected members‚ contractors‚ agents‚ consultants‚ partners or other servants of the council who have access to any personal data held by or on behalf of the
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Running head: THE RISE OF NAZISM The Rise of Nazism and the factors involved Many key factors led up to the rise of Nazism. These factors had great impact on all of Germany and the world. Some of these factors were specific antecedents‚ prejudice behaviors‚ and psychological factors that many people faced. Things that precede or allow things to happen are called antecedents. Four specific antecedents helped to enable the rise of Nazism. The first of these antecedents would be the end of
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UNCLASSIFIED UNCLASSIFIED 1 Open Data Strategy June 2012 UNCLASSIFIED UNCLASSIFIED 2 Contents Summary ................................................................................................... 3 Introduction ................................................................................................ 5 Information Principles for the UK Public Sector ......................................... 6 Big Data .......................................................................
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LECTURE 1 DATA TYPES Our interactions (inputs and outputs) of a program are treated in many languages as a stream of bytes. These bytes represent data that can be interpreted as representing values that we understand. Additionally‚ within a program we process this data that can be interpreted as representing values that we understand. Additionally‚ within a program we process this data in various way such as adding them up or sorting them. This data comes in different forms. Examples include: your
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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 Melody McIntosh Dr. Janet Durgin Information Systems for Decision Making December 8‚ 2013 Introduction Data mining‚ or knowledge discovery‚ is the computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data. Data mining tools predict behaviors and future trends‚ allowing businesses to make proactive‚ knowledge- driven decisions Although data mining is still in its infancy
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Project 5.1.1A Evidence Log Sheet Analyze each piece of evidence presented to your investigative team. Record relevant findings for each artifact in the log sheet below. You do not need to analyze the documents in a specific order. Remember that what you do not find may actually be just as important as information that you do find. Note: Items listed with an * are part of Evidence Report #2. Document Relevant Findings General Laboratory Tests Patient 1‚2‚ and 3 has normal urine. Patient 3
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