Private Infrastructure was implemented in e-DoX to secure digital data into an undecipherable format that are sent by the schools in Cavite to DEPED application. This data is typically scrambled by using hashing algorithms‚ which convert data into a secret scrambled encryption format. This is the reason AES and PKI was implemented because it has the highest defined level for data encryption and security that will secure important data such as the student grade records of the schools in Cavite. ---
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IT433 Data Warehousing and Data Mining — Data Preprocessing — 1 Data Preprocessing • Why preprocess the data? • Descriptive data summarization • Data cleaning • Data integration and transformation • Data reduction • Discretization and concept hierarchy generation • Summary 2 Why Data Preprocessing? • Data in the real world is dirty – incomplete: lacking attribute values‚ lacking certain attributes of interest‚ or containing only aggregate data • e.g.‚ occupation=“ ”
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Sample Midterm I Econ 3790: Statistics for Business and Economics Instructor: Yogesh Uppal You are allowed to use a standard size (8.5*11) cheat sheet and a simple calculator. Please write all the answers with a BALL-POINT PEN or an INK PEN. If you have any questions during the exam‚ please raise your hand. GOOD LUCK!!! I am sure you guys will do great. Multiple Choice Identify the letter of the choice that best completes the statement or answers the question and write it in the space given
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Lecture Notes 1 Data Modeling ADBMS Lecture Notes 1: Prepared by Engr. Cherryl D. Cordova‚ MSIT 1 • Database: A collection of related data. • Data: Known facts that can be recorded and have an implicit meaning. – An integrated collection of more-or-less permanent data. • Mini-world: Some part of the real world about which data is stored in a database. For example‚ student grades and transcripts at a university. • Database Management System (DBMS): A software package/ system to facilitate
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Systems Coursework Part 1: Big Data Student ID: 080010830 March 16‚ 2012 Word Count: 3887 Abstract Big data is one of the most vibrant topics among multiple industries‚ thus in this paper we have covered examples as well as current research that is being conducted in the field. This was done based on real applications that have to deal with big data on a daily basis together with a clear focus on their achievements and challenges. The results are very convincing that big data is a critical subject that
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Data Collection QNT/351 July 10‚ 2014 There are many times when companies have to collect data to come to a conclusion about an issue. The data may be collected from their employers‚ their competition or their consumers. BIMS saw that there had been an average turnover that was larger then what the company had seen in the past. Human Resources decided that they would conduct a survey to see what had changed in the company from the employee’s point of view. They attached
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GRE GRE Now duate ded gra by inten d optioniel major f aM w th the ow wiith score dattS N c ® Guide to the Use of Scores This publication includes: • Guidelines for the use of GRE® scores • Concordance information and percentile ranks oreSele Sc • Score interpretation and statistical information 2012–2013 www.ets.org/gre 19398 CONTENTS The GRE® Board and Its Committees ......................................................................................... 3 Overview of
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Reliability Scheme: 1. What is meant by a person’s observed score? True score and error variance in a test score? 2. The typical sources of true variance and error variance in a test score. 3. The interpretation of a reliability coefficient and how large this value should be in order to be acceptable. 4. The interpretation of the reliability coefficient in terms of statistical significance of correlation coefficients. The difference between a high and a significant correlation. 5. Different
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Q1: What is the meaning of Reliability and validity in research context? Ans: Reliability Reliability in research means that an instrument yields the same results again and again on every trial. There may be difference in the results; therefore we use more and less reliable instrument for a specific research. A more reliable instrument is often called as stable instrument (that instrument which gives same or very closer results) where as less reliable instrument is often called unstable
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Patrick Cunningham ITM220-J November 8‚ 2013 Big Data Big Data‚ an inspirational novel about the collection and processing of massive amounts of data was eye-opening and encouraging. This collection of data over a long period of time has been processed and used towards many different aspects throughout the world. Dilemmas such as tracking the H1N1 virus‚ to buying the most inexpensive plane tickets‚ all the way to predicting dangerous manholes explosions have all been processed and tabulated
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