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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Compare and contrast the role of the HR Business Partner with that of an external consultant. Evaluate effectiveness of a HRBP v an external consultant This paper will evaluate the extent to which academic and professional research into the roles of the HR Business Partner and that of the external consultant allow for a critical comparison between the two as to their effectiveness. Are they fundamentally different or essentially the same? Having firstly attempted to define then compare and contrast
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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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Overview: Chapter 2 Data Mining for Business Intelligence Shmueli‚ Patel & Bruce Core Ideas in Data Mining Classification Prediction Association Rules Data Reduction Data Visualization and exploration Two types of methods: Supervised and Unsupervised learning Supervised Learning Goal: Predict a single “target” or “outcome” variable Training data from which the algorithm “learns” – value of the outcome of interest is known Apply to test data where value is not known and will be predicted
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Case Study - Applebee’s‚ Travelocity and others: Data Mining for Business Decisions. Q1. What is the business benefits of taking the time and effort required to create and operate data warehouses such as those described in the case? Do you see any disadvantages? Is there any reason why all companies shouldn’t use data warehousing technology? Ans: The business benefits of taking the time and effort required to create and operate data warehouses is to gather information in a rapid time so the business
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IMPACT ACCOUNTING AND ENVIRONMENTAL ISSUES WITH REGARDS TO MINING ACTIVITIES THAT LED TO THE DISASTER FACED BY MINING INDUSTRY A thesis presented to the Faculty of Accountancy In partial fulfillment of the requirements in Synthesis By Ma. Lyn M. Gayem Mary Rose Dagasdas May 24‚ 2013 CHAPTER 1 PROBLEM Introduction of the Study Background Mining pertains to the process of extracting ore or minerals from the ground. Those minerals actually are natural substances usually comprising
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need to focus on the environmental effects of coal mining in the state of Alabama and a comparison of it with similar problems
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1)illegal mining has been done for so many years.analyse the effect on humans and ecology.? Suggest the remedies? Ans-Environmental Damages of Mining Open pit mining Open pit mining‚ where material is excavated from an open pit‚ is one of the most common forms of mining for strategic minerals. This type of mining is particularly damaging to the environment because strategic minerals are often only available in small concentrations‚ which increases the amount of ore needed to be mined. Environmental
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| Case study analysis | Executive Summary This is an analyst of a case study called ‘Crisis control’. Based on the case study‚ some issues have been identified as Non-HR issues and the others as HR issues. The global financial crisis‚ the increase demand for servicing and the serious problem of cash flow are the non- HR issues. On the other hand‚ HR issues are work imbalance‚ protect human capital‚ downsizing‚ restructure the organization. After identified the issues from the case study
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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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