will win is 60% and above.” Null Hypothesis “If X makes the first move then the probability of the player with X will win is less than 60%.” Data Collection and Preparation To prove or refute the hypothesis‚ data has to be collected. As we all know this step requires a great amount of time and effort. Also in order to build an effective model a data mining algorithm must be presented with a few hundred or few thousands relevant/applicable records. As mentioned above there are thousands of winning
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R and Data Mining: Examples and Case Studies 1 Yanchang Zhao yanchang@rdatamining.com http://www.RDataMining.com April 26‚ 2013 1 ➞2012-2013 Yanchang Zhao. Published by Elsevier in December 2012. All rights reserved. Messages from the Author Case studies: The case studies are not included in this oneline version. They are reserved exclusively for a book version. Latest version: The latest online version is available at http://www.rdatamining.com. See the website also for an R Reference Card
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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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Stefanelli1 ‚ ‚ Abstract. We propose a decision support tool based on the Case Based Reasoning technique‚ meant to help physicians in the retrieval of past similar cases‚ able to provide a suggestion about the revision of diabetic patients’ therapy scheme. A case is defined as a set of features collected during a visit. A taxonomy of prototypical situations‚ or classes‚ has been formalized; a set of cases belonging to these classes has been stored into a relational data-base. For each input case‚ the
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organisation’s approach to collecting‚ storing and using HR data and produce a briefing note on our findings. 1. Why does the organization need to collect HR data? The organization needs to collect HR Data in order to comply with regulatory legislative requirements such as‚ working time directive‚ health and safety and pay rates etc. It is also a legal requirement to provide written particulars of employment. By collecting these examples of HR data‚ this protects the organization from possible legal
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1.1 plan for the collection of primary and secondary data In order to understand the response or view of the customers about the store‚ primary and secondary data needed for Shark Spin are as follows: Primary Data: In order to do whatever survey needs to be conducted is known as primary data (Bpp‚ 2004‚ p7). Survey can be done to investigate Customer’s response information. What customers expect from the firm. What they think needs to be improved can be surveyed. Then the
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MTH 108 - Statistics Application Part C: Making Graph and Data-Based Decisions (60 points) Paragraphs should be typed and written in complete sentences. Please use project headings for each section. Use Times New Roman‚ 12-pt font and double space. Cite any resources in APA format. This assignment requires you to collect your own data and to use that information to make decisions. This project happens in two parts. Part (due Seminar 4) requires you to identify a topic. Parts 2-5 (due Seminar
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Department of Computer Science Database and Data Mining‚ COS 514 Dr. Chi Shen Homework No. 8‚ Chapter 13‚ Aklilu Shiketa Q13. 3 Cosmetic Purchases Consider the following Data on Cosmetics Purchases in Binary Matrix Form a) Select several values in the matrix and explain their meaning. Value Cell Meaning 0 For example‚ Row 1‚ Column2 At transaction #1 bag was not purchased. (shows absence of Bag in the transaction) 1 Row 10‚ column (2 and 3) “If a Bag is purchased‚ a Blush is also purchased
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Restaurateur (CR) the Restaurants and eateries belonging to this group. You have been approached to conduct a thorough research and finally present the details to the group itself. 1.1 Create a plan for the collection of primary and secondary data for a given business decision. They are two types of sources that can be used when conducting a research: Primary and Secondary. Primary sources give first-hand results that are provided by a research or study directed specifically for the case in question. Secondary
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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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