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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1)4. Why Use Observation to Collect Data? Observation methods are useful to researchers in a variety of ways. They provide researchers with ways to check for nonverbal expression of feelings‚ determine who interacts with whom‚ grasp how participants communicate with each other‚ and check for how much time is spent on various activities (SCHMUCK‚ 1997). Participant observation allows researchers to check definitions of terms that participants use in interviews‚ observe events that informants
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CASE 10-1: MINNETONKA WAREHOUSE Question 1: For each of the four work team sizes‚ calculate the expected number of trucks in the queue waiting to be unloaded. Size of team Number of trucks in queue 2 3.2 3 .5 4 .27 5 .12 Question 2: For each of the four work team sizes‚ calculate the expected time in the queue—that is‚ the expected time a truck has to wait in line to be unloaded. Size of team Expected time in queue 2 .8 hours 3 .125 hours 4 .067 hours 5 .030 hours
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I have been running for as long as I can remember. I’m not kidding. My mom told me I used to run around in the Church nursery when I was a toddler and the other children would chase me. I was drawn to running out of love for the closest thing I could ever humanly get to flying. I love the good runs‚ the bad runs‚ the hard runs‚ the mad runs‚ the sad runs‚ runs with people‚ runs alone‚ runs in rain‚ runs where I can taste the crisp Autumn air…I just love running! Running many miles requires me to
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Brief introduction of the Warehouse and Unichem Company. The Warehouse Group Company profile: The Warehouse Group Limited is engaged in the retailing of general merchandise‚ apparel‚ stationery‚ consumer electronics‚ and home appliances. It operates through The Warehouse‚ Warehouse Stationery‚ Noel Leeming‚ Torpedo7‚ and Other segments. The company is also involved in online retailing‚ which operates through the Torpedo7‚ 1-day‚ and Urban daddy Websites in New Zealand and Australia. In addition
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ABC Warehouse entered into a contract to purchase a large piece of vacant land from Dave Developer. Land is usually characterized as real property. Real property is part of the six enforceable written types of contracts; meaning land contracts do need to be written contracts. Oral contracts are not enforceable‚ are hearsay‚ and are bad ideas to begin with. For the best interest of both parties a legal written contract is the right contract for land selling. When oral real-estate contracts are used
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I am writing to address an outstanding issue related to some shipments into your Suwanee warehouse. In November Woodhaven sent four shipments into the Suwanee warehouse. These shipments were originally billed under invoices 162055‚ 162064‚ 162111‚ and 162381. At the time of invoicing‚ we were not aware that our driver of our carrier what been request to unload the shipment. As a result‚ the freight charges we received related to these deliveries included additional charges related to the unloading
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Turning data into information © Copyright IBM Corporation 2007 Course materials may not be reproduced in whole or in part without the prior written permission of IBM. 4.0.3 Unit objectives After completing this unit‚ you should be able to: Explain how Business and Data is correlated Discuss the concept of turning data into information Describe the relationships between DW‚ BI‚ and Data Insight Identify the components of a DW architecture Summarize the Insight requirements and goals of
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Data mining is a concept that companies use to gain new customers or clients in an effort to make their business and profits grow. The ability to use data mining can result in the accrual of new customers by taking the new information and advertising to customers who are either not currently utilizing the business ’s product or also in winning additional customers that may be purchasing from the competitor. Generally‚ data are any “facts‚ numbers‚ or text that can be processed by a computer.” Today
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Trang Vuong Big Data and Its Potentials Data exists everywhere nowadays. It flows to every area of the economy and plays an important role in the decision-making process. Indeed‚ “businesses‚ industries‚ governments‚ universities‚ scientists‚ consumers‚ and nonprofits are generating data at unprecedented levels and at an incredible pace” to ensure the accuracy and reliability of their data-driven decisions (Gordon-Murnane 30). Especially when technology and economy are growing at an unbelievable
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