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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Collection remains the predominant reason for many a museum’s existence. Most museums collect because they believe that objects are important and evocative survival of human civilization worthy of careful study and powerful educational impact. They carefully preserve their holdings as to transmit important information to the present generation and posterity. Art museums are said to concentrate on beauty and their mission is often defined as the direct transmission of the artist’s aesthetic understanding
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------------------------------------------------- Techniques for creative teaching Creativity Home About Creativity Defining creativity Elements of creativity Fostering creativity Teaching Creative teachers Techniques for creative teaching Creativity as a course module Evaluating creativity Learn More Resources Research Creative teaching In order to teach creativity‚ one must teach creatively; that is‚ it will take a great deal of creative effort to bring out the most creative thinking
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The Idea of Technique tech·nique [tek-neek] 1. Method of performance; way of accomplishing. 2. Technical skill; ability to apply procedures or methods so as to effect a desired result. Acquiring technique is mostly a process of brain/nerve development‚ not development of finger strength. Skill is acquired in two stages: (1) discovering how the fingers‚ hands‚ arms‚ etc.‚ are to be moved‚ and (2) conditioning the brain‚ nerves‚ and muscles to execute these with ease and control. Many
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University CS 450 Data Mining‚ Fall 2014 Take-Home Test N#1 Date: September 22nd‚ 2014 Final deadline for submission September 29th‚ 2014 Weighting: 5% Total number of points: 100 Instructions: 1. Attempt all questions. 2. This is an individual test. No collaboration is permitted for assessment items. All submitted materials must be a result of your own work. Part I Question 1 [20 points] Discuss whether or not each of the following activities is a data mining task.
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True/False Indicate whether the statement is true or false. ____ 1. A good project manager knows how to develop a plan‚ execute it‚ anticipate problems‚ and make adjustments. ____ 2. The most critical element in the success of a system development project is user involvement. ____ 3. The work breakdown structure (WBS) is key to a successful project. ____ 4. Gantt charts become useless once the project begins. ____ 5. Project feasibility analysis is an activity that verifies whether
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One of the most common responses I get from small-business owners when I talk to them about data security goes something like this: "Who would want to steal anything from us? It’s not like we’re the NSA." The hard truth is that any business is a target for bad guys. Just like any home can get robbed‚ any car can get stolen‚ and any eBay account can get hacked. It doesn’t matter what kind of business you’re in. You are vulnerable. * * Startup Books * Free Trade Magazines * Classifieds
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Chapter 1 Exercises 1. What is data mining? In your answer‚ address the following: Data mining refers to the process or method that extracts or \mines" interesting knowledge or patterns from large amounts of data. (a) Is it another hype? Data mining is not another hype. Instead‚ the need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. Thus‚ data mining can be viewed as the result of
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Data Warehouses and Data Marts: A Dynamic View file:///E|/FrontPage Webs/Content/EISWEB/DWDMDV.html Data Warehouses and Data Marts: A Dynamic View By Joseph M. Firestone‚ Ph.D. White Paper No. Three March 27‚ 1997 Patterns of Data Mart Development In the beginning‚ there were only the islands of information: the operational data stores and legacy systems that needed enterprise-wide integration; and the data warehouse: the solution to the problem of integration of diverse and often redundant
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WORLD DATA CLUSTERING ADEWALE .O . MAKO DATA MINING INTRODUCTION: Data mining is the analysis step of knowledge discovery in databases or a field at the intersection of computer science and statistics. It is also the analysis of large observational datasets to find unsuspected relationships. This definition refers to observational data as opposed to experimental data. Data mining typically deals with data that has already been collected for some purpose or the other than the data mining
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