the systematic gathering, sorting, reviewing, categorizing, examining, and interpreting of data to draw objective conclusions that can be trusted, (Lind, Marchal & Wathen, 2011). This is the general meaning of statistics. With this in mind it is important to understand that there are differing types and levels of statistics. There are two basic types of statistics, descriptive and inferential. Using the data collected in an enlightening fashion that allows for better understanding is referred to
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support security-oriented workflow definition and enactment through chaining of PDPs to support “workfloworiented” access control. To demonstrate this, we focus on a case study taken from the Economic and Social Science Research Council (ESRC) funded Data Management through e-Social Science (DAMES – www.dames.org.uk) project in the area of depression, self-harm and suicide. Keywords: Workflows, social sciences, security I. INTRODUCTION Distributed computing
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Terry Addison Course: IT-550 Kaplan University September 28, 2014 TABLE OF CONTENTS ABSTRACT 3 UNIT 1 Assignment 4 Introduction Terrorist Security Breach of a Network in Large Corporations What constitutes a cyber-terrorism case? Evidence related to cyber-terrorism and its meaning E-Discovery Process Conclusion 10 REFERENCES 11 Abstract This document discusses security breach at a large commercial corporation. It talks about what constitutes a cyber- crime. It
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to establish facts or principles. Research is basically based on primary and secondary sources. In primary source we collected original data via research "instruments" (surveys, interviews, questionnaires, "focus groups," etc.) to produce new knowledge on a particular topic. In addition to primary sources and original instruments another source is secondary data. The secondary sources are used to provide an overview of existing published knowledge on a topic and possible current debates about the
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Intelligence from Social Media Data: Network Analytics meets Text Mining Killian Thiel Tobias Kötter Dr. Michael Berthold Dr. Rosaria Silipo Phil Winters Killian.Thiel@uni-konstanz.de Tobias.koetter@uni-konstanz.de Michael.Berthold@uni-konstanz.de Rosaria.Silipo@KNIME.com Phil.Winters@KNIME.com Copyright © 2012 by KNIME.com AG all rights reserved Revision: 120403F page 1 Table of Contents Creating Usable Customer Intelligence from Social Media Data: Network Analytics meets Text
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reasons for organizing data into a frequency distribution: a. To organize the data in a meaningful, intelligible way. b. To enable the reader to determine the nature or shape of the distribution. c. To facilitate computational procedures for measures of average and spread. d. To enable the researcher to draw charts and graphs for the presentation of data. e. To enable the reader to make comparisons among different sets. 2. Categorical Frequency Distributions is used for data that can be placed in
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allocation, etc. II. Data Set Description and Methods Used This paper will be conducting a time series analysis on U.S. Natural Gas prices from January 2002 through December 2012. Prices were collected by the Energy Information Administration on a monthly basis, and the prices are measured in dollars per thousand cubic feet. The raw data set is much more extensive, and measures data such as wellhead price, import and export price, etc. I chose to neglect this in my data set for simplicity sake
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addition, generation of highly customized circuits does not integrate nicely with high level synthesis tools. In this work, we introduce TARCAD, a template architecture to design reconfigurable accelerators. TARCAD enables high customization in the data management and compute engines while retaining a programming model based on generic programming principles. The template features generality and scalable performance over a range of FPGAs. We describe the template architecture in detail and show how
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Big Data is a type of new era that will help the competition of companies to capture and analyze huge volumes of data. Big data can come in many forms. For example, the data can be transactions for online stores. Online buying has been a big hit over the last few years, and people have begun to find it easier to buy their resources. When the tractions go through, the company is collecting logs of data to help the company increase their marketing production line. These logs help predict buying patterns
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extend their gratitude to the respondents during the data gathering who take all the pictures of products they sell, Even though they don't like to record the audio and video, but we thank them to have their cooperation. And lastly, we would like to acknowledge their source person Ms. Chona Demiar who guides in terms of the development of the research documentation. Introduction Company Inventory is the process of entering and verifying data of products to register on a particular database.
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