Parallel Data Mining and Assurance Service Model Using Hadoop in Cloud Aditya Jadhav‚ Mahesh Kukreja E-mail: aditya.jadhav27@gmail.com & mr_mahesh_in@yahoo.co.in Abstract : In the information industry‚ huge amount of data is widely available and there is an imminent need for turning such data into useful information. This need is fulfilled by the process of exploration and analysis‚ by automatic or semi-automatic means‚ of large quantities of data provided by Data Mining. In case of a single
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plagiarism-detection service who may retain a copy for future plagiarism detection but will not release it or use it for any other purpose. DATE: 06/10/2013 Introduction: In data mining it is said that “success or failure often depends not only on how well you are able to collect data but also on how well you are able to convert them into knowledge that will help you better manage your business (Wilson‚ 2001‚ p. 26).” Tourism and hospitality industry generates massive amount of data. In each
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destination .This is accomplished using Google map API and Google marker. The application is developed to run on any browser and on Windows platform. CHAPTER 2 SYSTEM ANALYSIS 2.1 INTRODUCTION Systems analysis is a process of collecting factual data‚ understand the processes involved‚ identifying problems and recommending feasible suggestions for improving the system functioning. This involves studying the business processes‚ gathering operational data‚ understand the information flow
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and needs urgent attention. Internal control are measures established by directors relating to the accounting systems in order to check if all transactions made are recorded using the correct figures and if they were executed in accordance with proper general or specific authorisation. Internal Control and Fraud Detection covers the essential tools you need to perform internal control related services. It will take you through your clients responsibility to design and implement programs and controls
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Data Mining Melody McIntosh Dr. Janet Durgin Information Systems for Decision Making December 8‚ 2013 Introduction Data mining‚ or knowledge discovery‚ is the computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data. Data mining tools predict behaviors and future trends‚ allowing businesses to make proactive‚ knowledge- driven decisions Although data mining is still in its infancy
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ROAD LANE DETECTION SYSTEM Sai Chakradhar Dogiparthi Abstract - Traffic accidents have become one of the most serious problems in today ’s world. Due to day by day increase in population‚ there are number of vehicles increasing on the roads. As a result‚ number of accidents is growing day by day. Lane detection is an essential component of Advanced Driver Assistance System. The cognition on the roads is increasing day by day due to increase in the four wheelers on the road. The ignorance towards
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Department of Education Office of Federal Student Aid Data Migration Roadmap: A Best Practice Summary Version 1.0 Final Draft April 2007 Data Migration Roadmap Table of Contents Table of Contents Executive Summary ................................................................................................................ 1 1.0 Introduction ......................................................................................................................... 3 1.1 1.2 1.3 1.4 Background
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study: MBA Course Title: Marketing Research Course code: MBA 763 Assignment: Secondary Data Mat Number: 74168 Name: Abiona Timothy Olufemi What is Data Data is a collection of facts‚ such as numbers‚ words‚ measurements‚ observations or even just descriptions of things. 1.Information in raw or unorganized form (such as alphabets‚ numbers‚ or symbols) that refer to‚ or represent‚ conditions‚ ideas‚ or objects. Data is limitless and present everywhere in the universe. See also information and knowledge
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Stock Exchange forecasting with Data Mining and Text Mining (Marketing and Sales Analysis) Full names : Fahed Yoseph TITLE : Senior software and Database Consultatnt (Founder of Info Technology System) E-mail: Yoseph@info-technology.net Date of submission: Sep 15th of 2013 CONTENTS PAGE Chapter 1 1. ABSTRACT 2 2. INTRODUCTION 3 2.1 The research problem. 4 2.2 The objectives of the proposal. 4 2.3 The Stock Market movement. 5 2.4 Research question(s). 6 2. Background 3. Problem
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An Oracle White Paper July 2010 Data Masking Best Practices Oracle White Paper—Data Masking Best Practices Executive Overview ........................................................................... 1 Introduction ....................................................................................... 1 The Challenges of Masking Data ....................................................... 2 Implementing Data Masking .............................................................. 2
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