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    Data Mining

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    Data Mining Weekly Assignment 6: LIFT; CRM; AFFINITY POSITIONING; CROSS-SELLING AND ITS ETHICAL CONCERNS. What is meant by the term “lift”? The term “lift” describes the improved performance of an exact or specific amount of effort on a modeled sampling‚ as opposed to a random sampling (Spang‚ 2010). In other words‚ if you are able to market via a model to say‚ a given number of random customers (e.g. 1000)‚ and we expect that 50 of them would be successful‚ then a model that can generate 75

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    SMS CUSAT Reading Material on Data Mining Anas AP & Alex Titty John • What is Data? Data is a collection of facts and information or unprocessed information. Example: Student names‚ Addresses‚ Phone Numbers etc. • What is a Database? A structured set of data held in a computer which is accessible in various ways. Example: Electronic Address Book‚ Phone Book. • What is a Data Warehouse? The electronic storage of large amount of data by business. Concept originated in

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    Data Mining Assignment 4 Shauna N. Hines Dr. Progress Mtshali Info Syst Decision-Making December 7‚ 2012 Benefits of Data Mining Data mining is defined as “a process that uses statistical‚ mathematical‚ artificial intelligence‚ and machine-learning techniques to extract and identify useful information and subsequent knowledge from large databases‚ including data warehouses” (Turban & Volonino‚ 2011). The information identified using data mining includes patterns indicating trends‚ correlations

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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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    data mining

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    consolidated database that integrated data derived from the entire organization Subject oriented: Data is arranged and optimized to provide answer to questions from diverse functional areas. Data is organized and summarized by topic(Sales / Marketing / Finance / Distribution / Etc. ) Time Variant: represents the flow of data through time Can contain projected data from statistical models Data is periodically uploaded then time-dependent data is recomputed Non-volatile: Once data is entered it is NEVER

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    Web Mining

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    Web Mining Data mining is the nontrivial process of identifying valid novel‚ potentially useful‚ and ultimately understandable patterns in data – Fayyad. The most commonly used techniques in data mining is artificial neural networks‚ decision trees‚ genetic algorithm‚ nearest_neighbour method‚ and rule induction. Data mining research has drawn on a number of other fields such as inductive learning‚ machine learning and statistics etc. Machine learning – is the automation of a learning process

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    Lei Shi Company Research Paper (The Target Corporation) FINA 3301 November 21‚ 2013 Target Corporation (NYSE: TGT) is one of the top ten largest retailers in the U.S. by sales. In its most recent year in 2012‚ Target who has proclaimed itself as “cheap chic” produced over $70 billion in revenue through the sales of apparel‚ house wares‚ electronics and other products (Exhibit 5). At Target‚ corporate governance practices have been in place for more than 50 years‚ and continue to evolve to balance

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    Data mining

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    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. • Dividing

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    The Impact of Mining

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    Project Topic 1: What is the Impact of Mining on South Africa and its people? GOLD Authors: Michelle Dandara‚ Kirsten Collins‚ Robyn Blench‚ Yumna Badrooien and Sonia Mataramvura Date of Completion: 17 February 2012 Teacher: Mr Altern Abstract Mining plays a very important role in South Africa: it is one of the driving forces behind South Africa’s booming economy and provides employment for millions of South Africans. South Africa boasts world-scale primary mining processing facilities and is a world

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    Data Mining

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    necessity for a businesses trying to maximize its profits. A new‚ and important‚ tool in gaining this knowledge is Data Mining. Data Mining is a set of automated procedures used to find previously unknown patterns and relationships in data. These patterns and relationships‚ once extracted‚ can be used to make valid predictions about the behavior of the customer. Data Mining is generally used for four main tasks: (1) to improve the process of making new customers and retaining customers; (2) to

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