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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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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Data Mining Project on IMDB website ABSTRACT The Internet Movie Database (IMDb) is an online database of information related to movies‚ television shows‚ stars‚ etc. We chose to do our project from 2008 to 2011 year’s movie database. We extracted data like Movie‚ Director‚ Star‚ Image Url‚ Studio from the IMDb website. For this extraction of data we used a tool named Mozenda. After the data extraction‚ the data was analyzed. For a particular star‚ his/her movie‚ director‚ studio with whom the
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Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty Seyed Mohammad Seyed Hosseini *‚ Anahita Maleki‚ Mohammad Reza Gholamian Industrial Engineering Department‚ Iran University of Science and Technology‚ Tehran‚ Iran a r t i c l e i n f o a b s t r a c t Data mining (DM) methodology has a tremendous contribution for researchers to extract the hidden knowledge and information which have been inherited in the data used by researchers. This
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Chapter 3 – Data Visualization Chapter 4 – Summary Statistics Data Mining for Business Intelligence Shmueli‚ Patel & Bruce © Galit Shmueli and Peter Bruce 2010 Data Visualization • “A picture is worth a thousand words” • Data visualization and summary statistics help condense data • Effective presentation • Supports data cleaning (identify missing values‚ outliers‚ incorrect values‚ duplicates) and exploring (combine some groups) • Helps identify suitable variables • Mandatory initial step for
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Measurement in Physical Education and Exercise Science‚ 17: 171–186‚ 2013 Copyright © Taylor & Francis Group‚ LLC ISSN: 1091-367X print / 1532-7841 online DOI: 10.1080/1091367X.2013.805137 Data Mining in Elite Sports: A Review and a Framework Bahadorreza Ofoghi Institute of Sport‚ Exercise‚ and Active Living‚ Victoria University Melbourne‚ Victoria‚ Australia Victorian Institute of Sport Albert Park‚ Victoria‚ Australia John Zeleznikow and Clare MacMahon Institute of Sport‚ Exercise
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Data Mining: A Tool for the Enhancement of Banking Sector Shipra Kalra; Rachika Gupta kalra.shipra87@gmail.com; guptarachika@yahoo.co.in Lecturer‚ Chanderprabhu Jain College of Higher Studies and School of Law‚ Sector A-8‚ Narela‚ Delhi-110040 Abstract Data mining is emerging as a very useful tool for providing valuable information from large databases and enabling managers and business executives to make hard core decisions in a much easier and effective manner. It is a process of analyzing the
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Secure Data mining in Cloud Computing U.Venkateshwarlu #1 #1 M.Tech‚Computer Science and Engineering ‚ JNTUH Hyderabad‚ AP‚ INDIA 1 uvenkatesh905@gmail.com Puppala Priyanka *2 2 M.Tech‚Computer Science and Engineering ‚ JNTUH Hyderabad‚ AP‚ INDIA 2 priya.puppala9@gmail.com Abstract— Data mining techniques are very important in the cloud computing paradigm. The integration of data mining techniques with Cloud computing allows the users to extract useful information from a data warehouse
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Programme – Term IV – AY 20012-13 Business Intelligence And Data Mining Group Assignment on NGO Donations Maximization Abstract The problem is associated to devising a strategy to maximize the profits from a Direct Marketing Campaign to a selected group of customers while minimizing costs . The exercise requires the use of Business Intelligence tools and techniques to build a model ‚ trained and tested on the historical data for the last year’s donation raising campaign . From this
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1. MINING INDUSTRIES IN THE PHILIPPINES: * Luis Gonzales Jr. Mining * Goldenboys ‚Inc. * Steelfab Water Solutions Asia Inc. * Fil Edward Rey A. Manila * Mg-gelber Trading Co. * Sytenco Philippines Corporation * Maricalum Mining Corporation * Tangshan Relia Industrial Pump. Co.‚Itd Maricalum Mining Corporation (MMC) in south Negros. Having 2‚673 claims on mining in Barangays Cansauro‚ Hinablan‚ Tao-angan and Hinablan‚ of the towns of Cauayan and Sipalay‚ Negros Occidental
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