Name :- Dhaval Ruparel Batch :- SMBA – 13 Roll No :- 05 Subject :- CIS CASE STUDY 01 Ans 1:- The Technologies used by various companies for catching thieves were :- a) CCTV b) EAS There Limitations were :- a) They help us to catch the customers but does-not helps us to catch the employees within the Company. Ans 2:- Jaeger use the Data Mining applications which catch the thieving employees within the Company. Hence those employee which gave more discount in billing‚etc could be
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marketing and advertising tips how to write a strategic marketing plan or business strategy‚ marketing and advertising tips‚ internet and website marketing tips marketing index A simple guide to marketing‚ strategic business planning‚ advertising and promotion and sales lead generation‚ for small UK businesses especially. With tips and techniques for advertising and PR‚ for non-marketing managers‚ and for marketing and advertising professionals too; this is marketing and advertising made simple
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Internet Marketing Vs Traditional Marketing Content I. II. III. Abstract ...................................................................................................................... 3 Introduction ............................................................................................................... 3 Traditional Marketing .............................................................................................. 4 1. 2. Definition .................................
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Title: “Data Mining: The Mushroom Database” Author: Hemendra Pal Singh* In this review “Data Mining: The Mushroom Database” is focuses in the study of database or datasets of a mushroom. The purpose of the research is to broaden the preceding researches by administer new data sets of stylometry‚ keystroke capture‚ and mouse movement data through Weka. Weka stands for Waikato environment for knowledge analysis‚ and it is a popular suite of machine learning software written in Java‚ developed at
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makes marketing on the Internet different from other forms of direct marketing media? The Internet is an interactive marketing medium for direct marketers offering information access and two-way communication with customers in real time via the computer. Interactivity is what makes marketing on the Internet different from other forms of direct marketing media. 2. What are some advantages of interactive media? i) Wide reach-The internet reaches
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Marketing lecture 3: SITUATION ANALYSIS This involves a thorough study of the broad trends within the economy and society‚ and a comprehensive analysis of markets‚ suppliers‚ competitors and the company itself. There are a number of marketing techniques that can be used in analysing an organisation’s environment. These include the following: SWOT Analysis: Thi i an overall evaluation of a A l i This is ll l ti f company’s strengths‚ weaknesses‚ opportunities and threats. Strengths and Weaknesses
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Systems The goal of the term project is to develop a useful and viable prediction or classification model based on data. You will need to develop a research question‚ which you refine further based on the availability of data. You may need to merge multiple data sets together. Process: • Each team of 2 or 3 students will work on a business problem involving data analysis with real data. The project will focus on classification and prediction methods we covered during the semester. • A presentation
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The advent and prosperity of the Internet has provided many marketers with a platform to spread brand awareness. E-Marketing is defined by Chaffney as “The management and execution of marketing using electronic media such as the web‚ e-‚mail‚ Interactive TV‚ IPTV and wireless media in conjunction with digital date about customers characteristics and behaviours”(Chaffney‚ 2006 p. 10) In “2009 brands spent half a billion pounds on internet advertisers‚ up from £114 million in 2002“(mintel‚2010) This
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Introduction to Data Mining Summer‚ 2012 Homework 3 Due Monday June.11‚ 11:59pm May 22‚ 2012 In homework 3‚ you are asked to compare four methods on three different data sets. The four methods are: • Indicator Response Matrix Linear Regression to the Indicator Response Matrix. You need to implement the ridge regression and tune the regularization parameter. The material of this algorithm can be found in Page 103 to Page 106 in the book ”The Elements of Statistical Learning” (http://www-stat
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Assignment : Data Mining Student : Mohamed Kamara Professor : Dr. Albert Chima Dominic Course : CIS 500- Information Systems for Decision Making Data : 06/11/2014 This report is an analysis of the benefits of data mining to business practices
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