...This data may contain relevant medical information hidden in various patterns buried among the records. Within the research several popular MDSS’s are analysed in order to determine the most common data mining algorithms utilized by them. Three algorithms have been identified: Naïve Bayes, Multilayer Perceptron and C4.5. Prior to the very analyses the algorithms are calibrated. Several testing configurations are tested in order to determine the best setting for the algorithms. Afterwards, an ultimate comparison of the algorithms orders them with respect to their performance. The evaluation is based on a set of performance metrics. The analyses are conducted in WEKA on five UCI medical datasets: breast cancer, hepatitis, heart disease, dermatology disease, diabetes. The analyses have shown that it is very difficult to name a single data mining algorithm to be the most suitable for the medical data. The results gained for the algorithms were very similar. However, the final evaluation of the outcomes allowed singling out the Naïve Bayes to be the best classifier for the given domain. It was followed by the Multilayer Perceptron and the C4.5. Keywords: Naïve Bayes, Multilayer Perceptron, C4.5, medical data mining, medical decision support Chapter 1: Introduction to the Study Introduction Thesis Structure Study Overview Background of the research Focus Area & Motivation Aims and Objectives Research Problems Motivation and Challenges Thesis Outline Intellectual...
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...road map for identifying what controls are needed to keep data safe. A definition of different data types. 4. IT Security Policy Framework- a set of rules for security. The framework is hierarchical and includes policies, standards, procedures, and guidelines. 5. Whom are you trying to catch (Black-Hat, White-Hat and Gray-Hat Hacker)- Black hacker a computer attacker who tries to break IT security for the challenge and to prove technical prowess. White hacker an information security or network professional who uses various penetration test tools to uncover or fix vulnerabilities, also called ethical hacker. Gray hacker a computer attacker with average abilities who may one day become a black-hat hacker, gray-hat hackers are also called wannabes. 6. Difference between Threats and Vulnerability – threat any action that could damage an asset. Vulnerability a weakness that allows a threat to be realized or to have an effect on an asset. 7. ? 8. Virtual private networks (VPNs), third-party e-mail redirect (i.e.,RIM/BlackBerry), laptops with VPN software, SSL-VPN tunnels. 9. Information Systems Security- the protection of information systems, application, and data. (Up Grade) 10. Access control- methods used to restrict and allow access to resources. Authentication type-the process of deciding for access to...
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...WeMakeConnections TTI Multi Campus Network Executive Summary: WeMakeConnections is an up-and-coming networking and infrastructure company; we offer network solutions that are customized to each client, and their specific financial and technical needs. We provide a le82vel of service you would expect from a close friend, not a company. We service all network sizes, large and small, and have worked extensively with existing network upgrades, as well as total network creation. WeMakeConnections offers personalized services to match any budget. In this day and age competition is fierce, and money is tight. That is why we only hire people who love networking; they know what works, what doesn't, and where we can cut waste. That is why WeMakeConnections is the only company that offers a complimentary follow up, one month after your network is complete. We want to make sure you love your network. Each of our eight core employee's graduated from the prestigious ITT Tech, San Diego. Each has a passion for networking, and genuine love for problem solving. From the cabling in the walls to workstations on the desks, a trained professional will be on the job. Based on the request for proposal from TTI, we have created what may be, our masterpiece work. The following pages detail our plan of action for TTI's success, and subsequent expansions. We are confident that our network provides the best return on investment for TTI's four additional campuses, and will be easily scaled to...
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...NI-LIMIT 11 NI-LIMIT COMPUTER NETWORK SYSTEM PROPOSAL [Type the document subtitle] [Type the author name] TABLE OF CONTENTS ACKNOWLEDGEMENTS My fellow group members would like to thank our dear lecturer Mrs. Noris Ismail for doing her lecturing job professionally which broadened our knowledge greatly about networking and enabled us to come up with such a detailed proposal for network infrastructure and mixing it with several other ideas to finally make a final report on it. I would also want to thank my fellow group members for the effort and dedication they put in to complete the task of coming up with the report and the final proposal. Chapter one: Company profile NI-Limits Sdn Bhd NI-Limits Sdn Bhd is a digital design & web management company that provides stateof-the-art service through a mixed team of local and foreign professionals with the mission of delivering unparallel service and support to both Malaysian and International markets. NI-Limits Sdn Bhd is a Malaysian based company resulting from a merger of several independent web development agencies (Pixel Media, Webb Designs and Quartz Interactive) and international freelancers that have been in business since 1997. Mark Smalley and Nigel Webb formed Pixel Media in Sarawak, Malaysia in 1997. As a team of independent freelancers working together, they developed online marketing material to clients throughout Asia. The company primarily dealt with Oil and Gas related companies that were...
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...ISDS 2001 – STUDY GUIDE for Final Exam – Chapters 3 and 6 Objectives: After completing Chapter 3, you should know: 1. that BPM encompasses a core set of processes, including financial and operational planning, consolidation and reporting, modeling, analysis, and monitoring of KPIs, linked to organizational strategy 2. that BPM helps organizations translate a unified set of objectives into plans, monitor execution, and deliver critical insight to improve financial and operational performance 3. that BPM refers to the business processes, methodologies, metrics, and technologies used by enterprises to measure, monitor, and manage business performance 4. that BPM is an enterprise wide strategy that seeks to prevent organizations from optimizing local business at the expense of overall corporate performance; concentrates on enterprise-wide view. 5. that BPM = BI (monitor and analyze) + Planning (a unified solution) 6. understand that the closed-loop process (the BPM cycle) links strategy to execution in order to optimize business performance Using a closed-loop process to optimize business performance implies that four process steps are implemented: * Strategize - setting goals and objectives. Where do we want to go? * Plan - establishing initiatives and plans to achieve those goals. How do we get there? * Monitor – overseeing actual performance and comparing that to the goals and objectives. How are we doing? * Act and Adjust – taking corrective...
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...Science and Technology Overview Introduction LAN Technologies Network Transports WAN Technologies Definition Through a combination of hardware and software, networks permit information and peripherals to be shared efficiently and economically. Definition An internetwork is a collection of individual networks, connected by intermediate networking devices, that functions as a single large network. Internetworking refers to the industry, products, and procedures that meet the challenge of creating and administering internetworks. Figure illustrates some different kinds of network technologies that can be interconnected by routers and other networking devices to create an internetwork. PC LAN with Host Connection Network cable plant Workstation Host computer Virtual connection to the host Workstation to file server File server Network Architecture The OSI Model Implement a layered data communications system Establish a common basis for standards development Qualify products as open by their use of these standards Provide a common reference for standards Network Architecture The OSI Model All People Seem To Need Data Processing A handy way to remember the seven layers is the sentence "All people seem to need data processing." The beginning letter of each word corresponds to a layer. —Application layer —Presentation layer —Session layer —Transport layer —Network layer —Data link layer...
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...Developmental Psychology 2006, Vol. 42, No. 3, 391–394 Copyright 2006 by the American Psychological Association 0012-1649/06/$12.00 DOI: 10.1037/0012-1649.42.3.391 Children, Adolescents, and the Internet: A New Field of Inquiry in Developmental Psychology Patricia Greenfield Zheng Yan University of California, Los Angeles University at Albany, State University of New York With this special section on children, adolescents, and the Internet, we survey the state of a new field of enquiry in developmental psychology. This field is important because developmentalists need to understand how children and adolescents live in a new, massive, and complex virtual universe, even as they carry on their lives in the real world. We have selected six empirical articles to showcase various aspects of child and adolescent development in this virtual universe. These articles reflect three major themes of this new field: the Internet. Encompassing the broad areas of cognitive and social development, these articles address a number of different specific developmental functions. Yan analyzes the factors influencing the development of an understanding of the Internet in both its technical and social dimensions. Jackson et al. demonstrate the positive impact of home Internet access on the reading achievement of low-income, mostly African American children. In the arena of social development, articles deal with five important foci of adolescent development: identity (Subrahmanyam et al.); self-worth...
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...other factors will influence how markets for mobile financial services develop. Anderson (2009) stated that the emergence of m-banking platforms has the potential for spill-over effects, and that these spill-over effects will require regulatory authorities to develop appropriate policy responses. This work derived that m-banking strategies of mobile network operators (MNO’s) in developing markets, and they give regulatory responses. Field visits were made to the Philippines and Kenya where m-banking platform are well established all and in depth interviews took place with companies which had succeeded in launching m-banking platforms or were considering strategic responses in markets where competitors had launched platforms. Companies were identified from the existing body of literature, observation and personal contact. M-banking has the potential to bring basic banking and electronic transactions services to unbanked consumer in developing markets. Further, m-banking solutions also provide specific questions for telecommunications industry regulators, Regulators need to question if the elements are in place for m-banking networks to tip towards a single platform, especially in markets with dominant operators that hold significant market share. Wessels and Drennan (2009) identified and tested the key motivators and inhibitors for consumer acceptance of m-banking, particularly those that affect the consumer’s attitude towards, and intention to use, this self-service banking technology...
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...memect.com Contents 1 Artificial neural network 1 1.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 History . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2.1 Improvements since 2006 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3.1 Network function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3.2 Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.3.3 Learning paradigms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.3.4 Learning algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.4 Employing artificial neural networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.5 Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.5.1 Real-life applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.5.2 Neural networks and neuroscience . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.6 Neural network software . . . . . . . . . . . . . . . . . ....
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...Introduction , External data representation and marshalling, Communication models, Communication between distributed objects , Remote procedure call Case study: Interprocess communication in UNIX, Java RMI . (4.1-4.6, 5.1-5.5 of Text1) ..6hrs 3. Operating System Introduction , Operating system layer, Processes and threads, Communication and invocation, Architecture (6.1-6.6 of Text1) ..4hrs. 4. Distributed File Systems and Name Services: Introduction , File service architecture, Name services, Domain Name System, Directory and directory services. Case study: Sun network file system, Global name service. (8.1-8.3, 9.1-9.4 of Text1) …6hrs 5. Synchronization: Clock Synchronization, Physical clocks, Logical clocks, Global state (5.1-5.3 of Text2) ..5hrs 6. Transactions& concurrency control: Transactions, nested transactions, locks, optimistic concurrency control, time stamp ordering (12.1-12.7 of Text1) ..8hrs 7. Distributed Transactions: Introduction, Flat and nested distributed transactions, Atomic Commit...
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...Getting Started with SAS Enterprise Miner 5.2 ® TM The correct bibliographic citation for this manual is as follows: SAS Institute Inc. 2006. Getting Started with SAS ® Enterprise Miner TM 5.2. Cary, NC: SAS Institute Inc. Getting Started with SAS® Enterprise MinerTM 5.2 Copyright © 2006, SAS Institute Inc., Cary, NC, USA ISBN-13: 978-1-59994-002-1 ISBN-10: 1-59994-002-7 All rights reserved. Produced in the United States of America. For a hard-copy book: No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, or otherwise, without the prior written permission of the publisher, SAS Institute Inc. For a Web download or e-book: Your use of this publication shall be governed by the terms established by the vendor at the time you acquire this publication. U.S. Government Restricted Rights Notice. Use, duplication, or disclosure of this software and related documentation by the U.S. government is subject to the Agreement with SAS Institute and the restrictions set forth in FAR 52.227–19 Commercial Computer Software-Restricted Rights (June 1987). SAS Institute Inc., SAS Campus Drive, Cary, North Carolina 27513. 1st printing, April 2006 SAS Publishing provides a complete selection of books and electronic products to help customers use SAS software to its fullest potential. For more information about our e-books, e-learning products, CDs, and hard-copy books, visit the SAS Publishing...
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...Data Mining Practical Machine Learning Tools and Techniques The Morgan Kaufmann Series in Data Management Systems Series Editor: Jim Gray, Microsoft Research Data Mining: Practical Machine Learning Tools and Techniques, Second Edition Ian H. Witten and Eibe Frank Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration Earl Cox Data Modeling Essentials, Third Edition Graeme C. Simsion and Graham C. Witt Location-Based Services Jochen Schiller and Agnès Voisard Database Modeling with Microsoft® Visio for Enterprise Architects Terry Halpin, Ken Evans, Patrick Hallock, and Bill Maclean Designing Data-Intensive Web Applications Stefano Ceri, Piero Fraternali, Aldo Bongio, Marco Brambilla, Sara Comai, and Maristella Matera Mining the Web: Discovering Knowledge from Hypertext Data Soumen Chakrabarti Understanding SQL and Java Together: A Guide to SQLJ, JDBC, and Related Technologies Jim Melton and Andrew Eisenberg Database: Principles, Programming, and Performance, Second Edition Patrick O’Neil and Elizabeth O’Neil The Object Data Standard: ODMG 3.0 Edited by R. G. G. Cattell, Douglas K. Barry, Mark Berler, Jeff Eastman, David Jordan, Craig Russell, Olaf Schadow, Torsten Stanienda, and Fernando Velez Data on the Web: From Relations to Semistructured Data and XML Serge Abiteboul, Peter Buneman, and Dan Suciu Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations Ian H. Witten and Eibe Frank ...
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...V |Team 4: Adam Winterstrom | | |Cheng-yu Chang | | |Thuan Dinh |EE175WS00-4 | | |June 14,2000 | Quarter Wavelength Microstrip Antenna for Communication between Vehicles Final Report Technical Advisor: Alex Balandin Project Advisor: Barry Todd Table of Contents Executive Summary………………………………………………………………..3 Keywords……………………………………………………………………………3 Introduction………………………………………………………………………….4-6 Problem Statement…………………………………………………………………6 Possible Solutions…………………………………………………………………..7-8 Solution……………………………………………………………………………….9-13 Engineering Analysis………………………………………………………………..14-15 Discussion of Results………………………………………………………………..16-25 Conclusions and Recommendations……………………………………………….22-23 References……………………………………………………………………………25-26 Appendix………………………………………………………………………………26-46 Executive Summary: A low profile...
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...Data Mining Third Edition This page intentionally left blank Data Mining Practical Machine Learning Tools and Techniques Third Edition Ian H. Witten Eibe Frank Mark A. Hall AMSTERDAM • BOSTON • HEIDELBERG • LONDON NEW YORK • OXFORD • PARIS • SAN DIEGO SAN FRANCISCO • SINGAPORE • SYDNEY • TOKYO Morgan Kaufmann Publishers is an imprint of Elsevier Morgan Kaufmann Publishers is an imprint of Elsevier 30 Corporate Drive, Suite 400, Burlington, MA 01803, USA This book is printed on acid-free paper. Copyright © 2011 Elsevier Inc. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Details on how to seek permission, further information about the Publisher’s permissions policies and our arrangements with organizations such as the Copyright Clearance Center and the Copyright Licensing Agency, can be found at our website: www.elsevier.com/permissions. This book and the individual contributions contained in it are protected under copyright by the Publisher (other than as may be noted herein). Notices Knowledge and best practice in this field are constantly changing. As new research and experience broaden our understanding, changes in research methods, professional practices, or medical treatment may become necessary. Practitioners and researchers must...
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...BIO INSPIRED NEURAL NETWORKING AMONG MULTI-ROBOTS CHAPTER 1 INTRODUCTION Transportation is one of the most important economic activities of any country. Among the various forms of transport, road transport is one of the most popular means of transportation. Transportation has an element of danger attached to it in the form of vehicle crashes. Road crashes not only cause death and injury, but they also bring along an immeasurable amount of agony to the people involved. Efforts to improve traffic safety to date have concentrated on the occupant protection, which had improved the vehicle crash worthiness. The other important area where research is currently being done is collision avoidance. Technological innovations have given the traffic engineer an option of improving traffic safety by utilizing the available communication tools and sophisticated instruments. Using sensors and digital maps for increasing traffic safety is in its infancy. Systems are being developed to utilize the available state of the art facilities to reduce or possibly prevent the occurrence of crashes. Total prevention of crashes might not be possible for now, but the reduction of crashes could easily be achieved by using the collision avoidance systems. 1.1 NEED FOR COLLISION AVOIDANCE The development of collision avoidance systems is motivated by their potential for increased vehicle safety. Half of the more than 1.5 million rear-end crashes that occurred in 1994 could have been prevented by...
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