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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GPS Professor Dr Dogan Ibrahim from the Department of Computer Engineering at the Near East University in Cyprus describes the design of a GPS data logger device with SD card storage‚ where the collected data can be displayed in street-level using the Google Earth mapping program GPS data logger with SD card storage and GOOGLE EARTH map interface THE GLOBAL Positioning System (GPS) is a satellite-based navigation system developed by the US Department of Defence. The first GPS system was tested
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Introduction: Data breach has always been a sensitive topic‚ let alone when the data breach is related to banking. In the mean time‚ there’s a breach was found happened to the online banking system of the competitive bank of First Union Bank‚ and the hacker had stolen quantities of customers’ personal information and data. It has been an alarm for all the banks‚ it reminds the whole society to be alert of the damage caused by the data breach. The Chief Information Officer of the First Union Bank
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Data Mining Assignment 4 Shauna N. Hines Dr. Progress Mtshali Info Syst Decision-Making December 7‚ 2012 Benefits of Data Mining Data mining is defined as “a process that uses statistical‚ mathematical‚ artificial intelligence‚ and machine-learning techniques to extract and identify useful information and subsequent knowledge from large databases‚ including data warehouses” (Turban & Volonino‚ 2011). The information identified using data mining includes patterns indicating trends‚ correlations
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Surge Tank Design CHE4042F Process Dynamics and Control Project 1 20 April 2013 Group 26 Table of Contents List of Figures ii List of Tables ii Glossary iii A. Analysis of Plant Data 1 B. Simulation of Surge Tank 2 i. Modelling the Surge Tank in Xcos 2 ii. Frequency Fluctuations in Density Data 5 iii. Testing of Model for the Product Density 6 iv. Comparison of Unconstrained and Constrained Output Volume of the Surge Tank 7 C. Control of Surge Tank 8 i. Implementation
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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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.................... 111 Settings ....................................................................................................................... 112 Week 1 This Week Learning Outcome To Understand: The Process of Fault diagnosis The Universal Troubleshooting Process Regardless of how complex your particular computer or peripheral device might be‚ a dependable troubleshooting procedure can be broken down into four basic steps (Fig. 4-1): define your symptoms‚ identify and isolate
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HABIB BANK LIMITED PAKISTAN Introduction Habib Bank Limited (commonly referred to as "HBL") (Arabic: حَبيب بينك) is the largest bank in Pakistan and a thoroughly established banking chain throughout the world. An extensive network of 1425 branches in Pakistan and 55 international branches makes it one of the largest banks in Pakistan today. Habib Bank Plaza located in Karachi‚ Sindh is the formal headquarters of the bank. The bank has a network outside Pakistan including USA‚ UK‚ Middle East
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TYPES OF DATA AND COMPONENTS OF DATA STRUCTURES Data types 1. Primitive: is a data type provided by a programming language as a basic building block 2. Composite: is any data type which can be constructed in a program using its programming language’s primitive data types and other composite types 3. Abstract: is a mathematical model for a certain class of data structures that have similar behavior; or for certain data types of one or more programming languages that have similar semantics
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emphasizes the danger of an overestimated output gap that could lead to stubborn inflation due to loose monetary policy following the 2008 recession. This report has the following objectives: Firstly‚ it explains the concept of the output gap and its coherency to inflation. Secondly‚ it shows the measurement of output gap and finally‚ it highlights inflation and means of monetary policies to avoid inflationary pressure. All theoretical explanations are underpinned by data of the UK economy’s current situation
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