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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is a necessity for a businesses trying to maximize its profits. A new‚ and important‚ tool in gaining this knowledge is Data Mining. Data Mining is a set of automated procedures used to find previously unknown patterns and relationships in data. These patterns and relationships‚ once extracted‚ can be used to make valid predictions about the behavior of the customer. Data Mining is generally used for four main tasks: (1) to improve the process of making new customers and retaining customers;
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Data Collection: Data collection is the heart of any research. No study is complete without the data collection. This research also includes data collection and was done differently for different type of data. TYPES OF DATA Primary Data: For the purpose of collecting maximum primary data‚ a structured questionnaire was used wherein questions pertaining to the satisfaction level of the customer about pantaloons product(apparel)‚ the quality‚ color‚ variety of products‚ the availability of different
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and maintains it as a temporary dataset cache. The next input is a type of destination that user wants to visit. The application also allows user to get a route map to the destination .This is accomplished using Google map API and Google marker. The application is developed to run on any browser and on Windows platform. CHAPTER 2 SYSTEM ANALYSIS 2.1 INTRODUCTION Systems analysis is a process of collecting factual data‚ understand the processes involved‚ identifying problems and recommending
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HATCO Data Set Description The HATCO data set gives data from a survey of customers of the HATCO company. The data set consists of 100 observations on 14 separate variables. Three types of information were collected. The first type of information is the perception of HATCO on seven attributes identified in past studies as the most influential in the choice of suppliers. The respondents‚ purchasing managers of firms buying from HATCO‚ rated HATCO on each attribute. Each of these 7 variables
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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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Data Projectors Amy Shipman $50- $66‚525 What is a data projector? It is “a device that projects computer output onto a white or silver fabric screen that is wall‚ ceiling or tripod mounted." The three most common types of data projectors are the LCD‚ DLP‚ and the LCoS. Each type of projector will project your audio and video‚ they just have different ways to process the output of your audio and video. DLP stands for Digital Light Processing. This type of data projector has a light that
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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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WXES1115/WXES1117 Data Structures Lab 10: Queue 1. Write a generic queue class called MyQueue using LinkedList. Implement the following methods: a. public void enqueue(E o) b. public E dequeue() c. public E peek() d. public int getSize() e. public boolean isEmpty(); f. public String toString() public static void main(String[] args) { // TODO code application logic here MyQueue <String > fruitQ = new MyQueue <String >();
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DATA COMMUNICATION (Basics of data communication‚ OSI layers.) K.K.DHUPAR SDE (NP-II) ALTTC ALTTC/NP/KKD/Data Communication 1 Data Communications History • 1838: Samuel Morse & Alfred Veil Invent Morse Code Telegraph System • 1876: Alexander Graham Bell invented Telephone • 1910:Howard Krum developed Start/Stop Synchronisation ALTTC/NP/KKD/Data Communication 2 History of Computing • 1930: Development of ASCII Transmission Code • 1945: Allied Governments develop the First Large Computer
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