of the various forms of organization; 4. Discuss the social and ethical issues in financial reporting; 5. Prepare financial statements in a form suitable for publication‚ using disclosure requirements and relevant legislation. Data collection and analysis The data accumulated was done through the mediums of both primary sources and secondary sources. A primary source is an original object or document - the raw material or first-hand information. They include the distribution of questionnaires
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c# with example? 5. How to find even odd numbers in c# using array? What is array? An array is a collection of values of the same data type. The variables in an array are called the array elements. Array elements are accessed using a single name and an index number representing the position of the element within the array. Array is a reference type data type. The following figure shows the array structure in the system’s memory: An array needs to be declared before it can be used in a
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4.05 Data and Observations: Complete a data table that includes a prediction of reaction type (single replacement‚ double replacement‚ synthesis‚ decomposition‚ or combustion)‚ observations‚ and identification of reaction type for each reaction in the lab. (10 points) Reactants Prediction of Reaction Type Observations Reaction Type Iron (III) and copper (II) sulfate solution single replacement Solids stay concentrated at the bottom Single replacement Lead (II) nitrate and potassium
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CRIME DATA COMPARISON Crime Data Comparison Paper By Juanidel Cubero In this paper I will compare the robbery rate between two metropolitan cities which are Dallas Texas and San Diego California using the preliminary annual Uniform Crime Report (UCR) generated by the Federal Bureau of investigation (FBI) from January to December 2008. The Uniform Crime Reporting Program (UCR) defines robbery as the taking or attempting to take anything of value from the care‚ custody‚ or control of a
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1. PRIMARY ANDSECONDARY DATA We explore the availability and use of data (primary and secondary) in the field of business research.Specifically‚ we examine an international sample of doctoral dissertations since 1998‚ categorizingresearch topics‚ data collection‚ and availability of data. Findings suggest that use of only primarydata pervades the discipline‚ despite strong methodological reasons to augment with secondary data. INTRODUCTION Data can be defined as the quantitative or qualitative
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The Big Data Challenges Lamin A Tunkara CIS 500 – Information Systems for Decision Making Dr. Edwin OTTO July 16‚ 2013 Abstract The paper explores the challenges of big data and the strategies deployed by Volvo Car Corporation in instituting an information technology infrastructural tool that helped the company tap into its massive data‚ bank to extract information for meaningful process improvements. The paper culled information from Dumbill (2012) who in an article
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DATA LEAKAGE DETECTION . Abstract - If a distributor has given sensitive data to a set of supposedly trusted agents (third parties) and if some of the data is leaked and found in an unauthorized place‚ the distributor must assess the likelihood that the leaked data came from one or more agents‚ as opposed to having been independently gathered by other means. The techniques used improves the probability of identifying leakages and finding guilty agent. These methods do not
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Lecture 1 1.1 INTRODUCTION Data structure is the branch of computer science that unleashes the knowledge of how the data should be organized‚ how the flow of data should be controlled and how a data structure should be designed and implemented to reduce the complexity and increase the efficiency of the algorithm. The theory of structures not only introduces the data structures‚ but also helps to understand and use the concept of abstraction‚ analyze problems step by step and develop algorithms to
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ASKARI DANIYAL ARSHAD 2 OUTLINE DBMS DATA MINING APPLICATIONS RELATIONSHIP 3 DATA BASE MANAGEMENT SYSTEM A complete system used for managing digital databases that allow storage of data‚ maintenance of data and searching data. 4 DATA MINING Also known as Knowledge discovery in databases (KDD). Data mining consists of techniques to find out hidden pattern or unknown information within a large amount of raw data. 5 EXAMPLE An example to make it more
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Troy Wilson* suggest a way for preserving and enhancing the value of exploration data E very year explorationists‚ industrywide‚ collect billions of dollars worth of data. Yet‚ when it comes time for geologists to extract value from their information‚ they often find that value has been lost through poor practices in data management. There is no reliable record of the data that has been collected or data is not where it should be - it has been misplaced or corrupted. Re-assembling information
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