argued that Big Data can impact the society in various ways. Studies (e.g. Ranadive‚ 2014; Schonberger & Cukier‚ 2013; Bustamante et al.‚ 2013) have suggests that big data can greatly and positively impact the society. It can positively impact the educational and medical fields‚ solve seemingly intractable problems that people experience‚ and impact on the professional sports. Big data are social construction and neutral elements of reality. Butte et al. (2013) argues that Big data can be used an
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Table of Contents Part 1: General review of data link layer 2 a) Explain the working principles of the data link layer. 2 b) Is controlled access better than contention for media access control? Discuss. 2 c) Why is error detection important in this layer? What is being measured? 3 d) Identify three significant noises that can cause errors in data communication digital circuits. Briefly explain. 3 Part 2: General review of error correction 4 a) Why is cyclical redundancy
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WEEK 1 WHAT ARE DATA STRUCTURES? WHAT ARE ALGORITHMS? REVIEW OF JAVA AND OOP ENCAPSULATION‚ INHERITANCE‚ POLYMORPHISM CLASSES METHOD INTERFACES DATA STRUCTURES In computer science‚ a data structure is a particular way of storing and organizing data in a computer so that it can be used efficiently. Different kinds of data structures are suited to different kinds of applications and some are highly specialized to certain tasks. For example‚ B-trees are particularly well-suited
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of the unknown solution was then easily plotted on a graph to show the corresponding data. Error Analysis -One of the 6 solutions of CO(NO3)2 could not have been rinsed out of the cuvette properly. -The test tubes could have not been washed properly‚ affecting the percent transmittance. -Liquid could have spilled on the cuvette before inserting it into the spectrophotometer‚ therefore affecting the final data. -Some light could have entered the spectrophotometer due to improper
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spacing on the growth and yield of potato (var. Diamant). Different nitrogen levels viz. 0‚ 127.0‚ 190.5 and 254.0 kg N/ha significantly influenced plant height‚ foliage coverage‚ number of main stem per hill‚ days required for 80% maturity of the crop‚ fresh weight of haulm (g/hill)‚ number of tubers per hill‚ weight of tubers per hill‚ total yield of tubers per hectare and yield of seed and non-seed tubers per hectare. Application of 254.0 kg N/ha gave the highest yield of tubers (24.33 t/ha) and
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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 cube is count. 1‚ How many nonempty cuboids will a full data cube contain? Answer: 210 = 1024 2‚ How many nonempty aggregate (i.e.‚ non-base) cells will a full cube contain? Answer: There will be 3 ∗ 210 − 6 ∗ 27 − 3 = 2301 nonempty aggregate cells in the full cube. The number of cells overlapping twice is 27 while the number of cells overlapping once is 4 ∗ 27 . So the final calculation is 3 ∗ 210 − 2 ∗ 27 − 1 ∗ 4 ∗ 27 − 3‚ which yields the result. 3‚ How many nonempty aggregate cells will an iceberg
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Financial Services Data Management: Big Data Technology in Financial Services Big Data Technology in Financial Services Introduction: Big Data in Financial Services ....................................... 1 What is Driving Big Data Technology Adoption in Financial Services?3 Customer Insight ........................................................................... 3 Regulatory Environment ................................................................ 3 Explosive Data Growth ........
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National data of education The starting point for the creation of an event-history database is the source registers for official statistics. Within education the three files mentioned above (enrolments‚ graduates and attainment) are arranged for the purpose of making them comparable over time. New data are merged with old data and classification variables are compared one by one. All changes for each classification variable is assigned with dates and coded as gains or loss records by a set
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tructureResearch on Graphs in Data Structure Source: http://www.algolist.net/Algorithms/Graph/Undirected/Depth-first_search Introduction to graphs Graphs are widely-used structure in computer science and different computer applications. We don’t say data structurehere and see the difference. Graphs mean to store and analyze metadata‚ the connections‚ which present in data. For instance‚ consider cities in your country. Road network‚ which connects them‚ can be represented as a graph and then analyzed
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