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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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    HOW DEMAND DETERMINES OUTPUT IN THE SHORT RUN Typically‚ firms that supply intermediate goods such as steel rods or other inputs let demand not price determine the level of output in the short run. To understand this idea‚ consider an automobile firm that buys material from a steelmaker on a regular basis. Because the auto firm and the steel producer have been in business with one another for a long time and have an ongoing relationship‚ they have negotiated a contract that keeps steel prices

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    Data Mining

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    Data mining Data mining is simply filtering through large amounts of raw data for useful information that gives businesses a competitive edge. This information is made up of meaningful patterns and trends that are already in the data but were previously unseen. The most popular tool used when mining is artificial intelligence (AI). AI technologies try to work the way the human brain works‚ by making intelligent guesses‚ learning by example‚ and using deductive reasoning. Some of the more popular

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    Data Mining

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    Data Mining Weekly Assignment 6: LIFT; CRM; AFFINITY POSITIONING; CROSS-SELLING AND ITS ETHICAL CONCERNS. What is meant by the term “lift”? The term “lift” describes the improved performance of an exact or specific amount of effort on a modeled sampling‚ as opposed to a random sampling (Spang‚ 2010). In other words‚ if you are able to market via a model to say‚ a given number of random customers (e.g. 1000)‚ and we expect that 50 of them would be successful‚ then a model that can generate 75

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    big data

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    Big Data In It terminology‚ Big Data is looked as a group of data sets‚ which are so sophisticated and large that the data can not be easily taken‚ stored‚ searched‚ shared‚ analyzed or visualized making use of offered tools. In global market segments‚ such “Big Data” generally looks throughout attempts to identify business tendencies from accessible files sets. Other areas‚ exactly where Big Data continually appears include various job areas of research for example the human being genome and also

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    Big data

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    Big data describes innovative methods and technologies to capture‚ distribute‚ manage and analyze larger-sized data sets with high rate and diverse structures that conventional data management methods are unable to handle. Digital data is now everywhere—in every sector public or private‚ economy‚ organization and customer of digital technology. There are many ways that big data can be used to create value across sectors of the global economy. It has demonstrated the capacity to improve predictions

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    Process Innovation

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    understand the reasons it should be noted that there are two main types of innovations in the business world. These types are: Process Innovations and Product Innovations. A process innovation is a plan to make an existing product or service better and a product innovation is the creation of an entirely new product. One reason an entrepreneurial organization would seek a process innovation is to elaborate on a pre-existing creation‚ such as a computer program‚ and make it perform better than before

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    Statistics and Data

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    Residuals Date: _____________________ Introduction The fit of a linear function to a set of data can be assessed by analyzing__________________. A residual is the vertical distance between an observed data value and an estimated data value on a line of best fit. Representing residuals on a___________________________ provides a visual representation of the residuals for a set of data. A residual plot contains the points: (x‚ residual for x). A random residual plot‚ with both

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    Empirical data

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    research because they allow the researchers to analyze empirical data needed to interpret the findings and draw conclusions based on the results of the research. According to Portney and Watkins (2009)‚ all studies require a description of subjects and responses that are obtained through measuring central tendency‚ so all studies use descriptive statistics to present an appropriate use of statistical tests and the validity of data interpretation. Although descriptive statistics do not allow general

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    Process Costing

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    Ring Road‚ BSK III Stage‚ Bangalore – 560 085 A TERM PAPER On Process Costing Submitted in fulfillment of the requirements for the 3rd SEM MBA Management Accounting and Control Systems Submitted to: Submitted by: Prof. G V M Sharma Vandana Rajput Dept. of MBA 1PB11MBA60 INTRODUCTION: Process costing is a form of operations costing which is used where standardized

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