"Exploratory data analysis" Essays and Research Papers

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    DATA MINING FOR POTENTIAL CUSTOMERS: East – West Airlines/Telcon Jermaine Paul 12/12/2013 BUSINESS PROBLEM East-West Airlines (EA) is entering into partnership with the cellular service provider‚ Telcon‚ by marketing their service through direct mail. In order to achieve this‚ EA dataset is provided to categorize their customers to identify which ones would be likely to purchase Telcon’s services through direct mail. If the accurate categorization is done the partnership will save

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    2.1 Assuming that data mining techniques are to be used in the following cases‚ identify whether the task required is supervised or unsupervised learning. a. Supervised-Deciding whether to issue a loan to an applicant based on demographic and financial data (with reference to a database of similar data on prior customers). b. Unsupervised-In an online bookstore‚ making recommendations to customers concerning additional items to buy based on the buying patterns in prior transactions. c. Supervised-Identifying

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    BIG DATA AND THE FUTURE OF THE HOURLY WORKFORCE Companies are pouring tens of billions of dollars into Big Data to find patterns they can use to predict the future. How Big Data is Changing the way Operating Executives Manage their Hourly Workforce T Does Big Data Matter? hose who wonder whether Big Data is really as big of a deal as the press is making it out to be should take note of Target. To better understand how to market new products to their customers‚ analysts at the retailer

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    Factors to Cleansing Data Abstract: This article briefly recaps the value of quality data in the supply chain and the challenges with today’s automated mass sharing of information with internal and external customers. This article addresses how we all got here and what we can do about it. There are four critical success factors of 1) Scope‚ 2) Team‚ 3) Process and 4) Technology and this article will give you the stepping stones to be successful in cleaning your critical data. Executive Summary

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    steps possible is one of the principal challenges in programming. Algorithms has three different use‚ it is use for calculating‚ data processing and automated reasoning. However‚ there are lots of applications that are still missing in the Mobile App Industry which is indeed helpful for the user of smartphones. This study will develop an algorithm which will fall under the data processing which will be applied to a mobile applications. The Mobile Application that are being develop has something to do

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    So we use the simple random sampling. Stem plot A stemplot (or stem-and-leaf display)‚ in statistics‚ is a device for presenting quantitative data in a graphical format‚ similar to a histogram‚ to assist in visualizing the shape of a distribution. Unlike histograms‚ stemplots retain the original data to at least two significant digits‚ and put the data in order‚ thereby easing the move to order-based inference and non-parametric statistics. To construct a stem plot‚ the observations must first

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    BSA/310 Analytics of Data Analytics of data allows you to inspect big data‚ to uncover pattern and other information‚ which can be transformed into useful information to help decision making easier. You can approach data analytics though multiple avenues by using different diverse techniques. The analytics of data is relevance to this week’s assignment‚ because for the past few weeks our team has collected and store data on Riordan Manufacturing‚ we now need to analyze the data. We have been tasked

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    Activity 1 Part A) What event did you attend? ENTERPRISE INFORMATION MANAGEMENT An Overview of The Enterprise Data Warehouse and Business Intelligence Part B) When and where was it held? It was held at Sydney Mechanics School of Arts Level 1 280 Pitt Street on Wednesday 24th November 2010 between 6:30-7:30pm Activity 2 Part A) Write the details from the business card of the first person you met at this event. Ban Pradham He finished his masters degree at Macquire University and now he

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    that protects the underlying attribute values of objects subjected to clustering analysis. In doing so‚ the privacy of individuals’ data would be protected. In this age of data mining‚ we felt that working on data privacy was of paramount importance. We worked in a group of 3 on this and my role specifically was to design and implement the ‘K-means’ algorithm that clusters the data and forms the basis for the data transformation. In addition to my thesis‚ I worked on a solo project which involved

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    3/20/2014 How eBay Uses Data and Analytics to Get Closer to Its (Massive) Customer Base | MIT Sloan Management Review How eBay Uses Data and Analytics to Get Closer to Its (Massive) Customer Base Big Idea: Data & Analytics • Interview • June 25‚ 2013 • Reading Time: 11 min Neel Sundaresan (eBay)‚ Interviewed by Renee Boucher Ferguson Online auction site eBay uses data about the behavior of its millions of customers to drive analytics at every level of the organization‚ and get closer

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