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    Table of Contents Introduction………………………………………………………………………..…………………………….…2 1.Data Compression……………………………………..………………………………………………………2 1.1Classification of Compression……………………………………………………………………...2 1.2 Data Compression methods…………………………………………..……………………………3 2. Lossless Compression Algorithm……………..……………………………………………………….4 2.1 Run-Length Encoding……………………..…………………………….……………………………4 2.1.1 Algorithm……………………………..………………………………………………………………….5 2.1.2Complexity ……………………………..………………………………

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    John Smith Dr. Daniels 2/14/13 Chapter 5 Video Case 1. Data warehouses store current as well as historical data and are used for creating trending reports for senior management reporting such as annual and quarterly comparisons. REI is building a data warehouse because they want to better serve their customers with their products. The data ware house allows REI to make the customers experience with their company a much more fulfilling one ensuring their return. 2. Consumer cooperatives

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    Quantitative Methods of Data Analysis Sales Force Survey Respondent number: 01 1. Are you male or female? (1) Male (2) Female 2. What is the name of your employer? (1) Jones and Sons (2) Smith and Company (3) Tomkins 3. In which area of the country do you work? (1) North (2) South 4. Please circle your response to the following three questions‚ using the following scale: 1 “strongly agree” 2 “agree” 3 “uncertain” 4 “disagree” 5 “strongly disagree” 4a) In general

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    Data Table Analysis Data Table Analysis Kudler’s Fine Foods is a gourmet food store that provides specialized products in the Southern California region. Since the inventory of the store is perishable‚ it is important to have control of the inventory on hand and put in place a procedure for replacing the inventory promptly. If Kudler’s has too much inventory on hand‚ the loss of revenues due to waste increases. Alternatively‚ if Kudler’s cannot replace inventory fast enough‚ they risk alienating

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    What is Data Management? What are some of the difficulties that organizations face when managing data? How can data warehousing‚ online transactional databases and data mining assist with these difficulties? May 18‚ 2014 Kendra L Thompson ITEC 6111: Information Technology in the Organization Professor Mello Star Just as cars need fuel‚ so does organizations‚ when it comes to data it serves as fuel to many organizations. Without the use of data‚ organizations would probably “go

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    The Data Protection Act (UK – 1998‚ Malta – 2001): The DPA concerns the “collection‚ recording‚ organization‚ storage‚ adaptation‚ alteration‚ retrieval‚ gathering‚ use‚ disclosure‚ blocking‚ erasure or destruction of personal data”. The purpose of the Data Protection Act: a. The purpose of the DPA is to protect living individuals against the misuse of their personal data. Examples of such misuse could include exposing of personal data without obtaining prior permission from the data subject

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    The 8 Principals of Data Protection The Act regulates the use of “personal data”. To understand what this means we need first to look at how the Act works or defines the word “dataData means; information which- a) is being processed by operating automatically in response to instructions given for that purpose. b) Is recorded with the intention that it should be processed. c) Is recorded as part of a relevant filing system with the intention that it should form part of relevant

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    data mining hw 3

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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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    energy innovations and solutions have been hindered by lack of research data on how people use electricity in their homes during the course of the day. But for the past two years‚ one U.S. university has attacked the problem directly. Students and faculty conducting energy and smart grid research at the University of Texas have had access to a treasure trove of knowledge found nowhere else on earth: billions of time-stamped data records from the Pecan Street Research Institute’s original field research

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    Data Protection Guide

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    DATA PROTECTION ACT 1998 GUIDANCE TO SOCIAL SERVICES March 2000 CONTENTS Section 1 Section 2 Section 3 Introduction Glossary of terms Good practice in record keeping Principles underpinning good practice A policy framework Retention and destruction of records Records subject to statutory requirements Management commitment to good practice 4 8 14 14 15 16 17 17 Contents page 1 Section 4 Details of the Act and its implementation Access to social services records Personal

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