Mining - Revealing Business Roles for Security Administration using Data Mining Technology Martin Kuhlmann Dalia Shohat SYSTOR Security Solutions GmbH Hermann-Heinrich-Gossen-Strasse 3 D 50858 Cologne [martin.kuhlmann|dalia.shohat] @systorsecurity.com Gerhard Schimpf SMF TEAM IT-Security Consulting Am Waldweg 23 D 75173 Pforzheim Gerhard.Schimpf@smfteam.de ABSTRACT In this paper we describe the work devising a new technique for role-finding to implement Role-Based Security Administration
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Master Thesis Electrical Engineering November 2011 Security Techniques for Protecting Data in Cloud Computing Venkata Sravan Kumar Maddineni Shivashanker Ragi School of Computing Blekinge Institute of Technology SE - 371 79 Karlskrona Sweden i This thesis is submitted to the School of Computing at Blekinge Institute of Technology in partial fulfillment of the requirements for the degree of Master of Science in Software Engineering. The thesis is equivalent to 40 weeks of full time studies.
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Crime Data Comparison Comparing similar crimes‚ in metropolitan area such as Phoenix and Dallas. The FBI Uniform Crime Report (UCR) data shows in 2009 Phoenix had 76 reported murders‚ and Dallas with 86. Dallas with a lower population number of 1‚290‚266 had higher murder rate‚ Phoenix with population of 1‚597‚397 reported in 2009. Reported murder rates dropped in both areas in 2010‚ Dallas with 73‚ and Phoenix with a reported 50. “National reports a decrease of 6.2 percent of violent crimes during
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polution other than the world trying to come up with other options for the use of fuel in cars and airplanes other than gas. If we used other options instead of just gas there would be alot less air pullution. Other pullution problems can be reduced by using
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UNCLASSIFIED UNCLASSIFIED 1 Open Data Strategy June 2012 UNCLASSIFIED UNCLASSIFIED 2 Contents Summary ................................................................................................... 3 Introduction ................................................................................................ 5 Information Principles for the UK Public Sector ......................................... 6 Big Data .......................................................................
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I am the Statistical Analyst for Slivers’ Gold Gym (SGG). I was assigned a project to examine the relation of 252 male gym members weight and body fat by conducting a hypothesis test. This report reflects the measures that I examined and how I conducted my hypothesis test to conclude if the male members have an average body fat of 20% as claimed by my boss. Part I I analyzed the compiled sample data set that was provided to me for the hypothesis test of the body fat and weight of 252 male members
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ACCOUNTING INFORMATION SYSTEM 2 TOPIC: USING ELECTRONIC DATA INTRCHANGE (EDI) TO IMPROVE THE EFFICIENCY OF ACCOUNTING TRANSACTIONS TABLE OF CONTENT NUM TITLE PAGE 1 TABLE OF CONTENT 2 2 INTRODUCTION OF TOPIC 3 3 DISCUSSION ON USING ELECTRONIC DATA INTERCHANGE TO IMPROVE THE EFFICIENCY OF ACCOUNTING TRANSACTIONS(7 Article research paper) 4-15 4 CONCLUSION 16 5 Recommendation 17 6 Refference 18 7 Appendices 19
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Data Mining DM Defined Is the analysis of (often large) observational data sets to find unsuspected relationships and to summarize the data in novel ways that are both understandable and useful to the data owner Process of analyzing data from different perspectives and summarizing it into useful information A class of database applications that look for hidden patterns in a group of data that can be used to predict future behavior. DM Defined The relationships and summaries derived
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Beach on a sunny day. The blazing sun beats down on the smooth‚ weathered rocks of the cliff side. The crisp seaweed pushed onto the rocks by the waves‚ lay baking at the sea’s edge‚ occasionally moving with the tide. The clear blue sea’s waves rattle the tiny pebbles embedded in the golden sand. The foam from the waves cover a small child’s forgotten sandcastle‚ bringing it down with a dull crash. The high tide pushes back the crowd of people to the beach’s edge. Ice cream stalls and candy floss
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Conclusion The sample from the data set shared in the paper provided 189 values with 10 different variables involving mothers and their newborn babies. The information was used to analyze the statistical data of the sample to identify low birth weight of babies and any relation to the other provided variables. The analytics were conducted through the use of two descriptive analysis tests‚ three hypotheses testing‚ and a multiple regression model. The descriptive analysis basically showed that the
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