Memory Based Reasoning In Data Mining Pdf Download http://shurll.com/bjwha

Memory Based Reasoning In Data Mining Pdf Download

HTTP Status 404 - . Decrease the amount of work for the business process by determining the proper number of similar casesautomatically using the distribution of past cases. Your browser doesn't accept cookies. Our MBR technology is installed in a Fujitsu product called Interstage Navigator Explorer Server, and it has beenapplied to systems that use information such as CRM systems. Enable a quantitative evaluation of the analysis by means of prediction with degrees of confidence Output the reliability of the prediction itself which is calculated using the distribution of similar cases Indicate causes of the prediction result using the weights of attributes.

View Full Document TERM Spring '14 PROFESSOR Click to edit the document details Share this link with a friend: Copied! Report this document Report Most Popular Documents for COSC 6337 12 pages Extracting patterns and relations from the world wide web University of Houston-Victoria COSC 6337 - Spring 2014 Extracting Patterns and Relations from the World Wide Web Sergey Brin Computer Scienc Extracting patterns and relations from the world wide web 9 pages SuperQuery - Data Mining for Everyone University of Houston-Victoria COSC 6337 - Spring 2014 White Paper - SuperQuery; Data Mining for Everyone Page 1 of 9 White Paper Last Revis SuperQuery - Data Mining for Everyone 51 pages xid-62688461 University of Houston-Victoria COSC 6337 - Spring 2014 COSC 6337 Web Mining and Information Retrieval Department of Computer Science Dr. DEPARTMENT OF COMPUTER COMPUTER APPL mca q&A 29 pages Lecture 6 - Data Mining.pdf Moi University COMPUTER S CSC 222 - Summer 2016 Data Mining DR MOSES M THIGA Data Mining Data mining is a technique that discovers pr Lecture 6 - Data Mining.pdf . Our MBR technology has been used by a customer in the manufacturing industry to select some important attributes,which mainly determine the whole system performance, from a large number of attributes. .. Sign up to access the rest of the document. description The requested resource is not available.

Archive high accuracy for the multi dimensional time-series which has gaps and omissions in observation points bymeans of adaptive matching algorithm.Application Examples Fujitsu credit scoring systems, in which our MBR technology is installed, have been in operation at several banks andconsumer finance companies. Course Hero, Inc. Unformatted text preview: Memory-Based Reasoning: A Data MiningTechnology Applicable to Business ProblemsMarch, 2008AbstractData mining consists of technologies used to discover valuable information that has not been found, from large volumesof data in order to use that information to develop business strategies.We are developing our technologies and systems, mainly focusing on Memory-Based Reasoning (MBR) which is one ofthe data mining technologies, to achieve a high prediction accuracy, and applying that to business processes. type Status report. Course Hero is not sponsored or endorsed by any college or university. The new technology can: Achieve high accuracy by means of the original metric (weights of attributes) calculated using the distribution ofpast cases. Company About Us Blog Sitemap Standardized Tests Get Course Hero iOS Android Educators Careers Our Team Jobs Internship Help Contact Us FAQ Feedback Legal Copyright Policy Honor Code Privacy Policy Terms of Use Connect with Us Facebook Twitter LinkedIn Copyright 2016. Sign up to view the full document.

403 Forbidden . Our MBR technology is applicable to predict quality and performance in the manufacturing industry using past data orsimulation results.Repaid customersCustomers? ( or -) Customers whoofferedfailed to repayloansInformation on pastloan customersInformation onpast loancustomersAcceptoffers ofloans- - - -- Find k most similar - - -past customers- - (70%)- - - (30%) -- -- Prediction result - - -(with confidence) - -- - - - - -MBRSelect acceptableoffers by scoringCustomersoffered loansPredict by weighted majority voting processAn application of the credit scoring systemAll Rights Reserved, Copyright Fujitsu Laboratories Ltd.1/1FUJITSU LABORATORIES. Sign up to view the full content. Some suggestions: Go back to the last page Go to the home page .. Find Study Resources Main Menu by School by Literature Guides by Subject Get instant Tutoring Help Main Menu Ask a Tutor a Question Use Flashcards Main Menu View Flashcards Create Flashcards Earn by Contributing Main Menu Earn Free Access Upload Documents Write Course Advice Refer your Friends Earn Money Upload Documents Apply for Scholarship Create Q&A pairs Become a Tutor Find Study Resources by School by Literature Guides by Subject Get Instant Tutoring Help Ask a Tutor a Question Use Flashcards View Flashcards Create Flashcards Earn by Contributing Earn Free AccessLearn More > Upload Documents Write Course Advice Refer your Friends Earn MoneyLearn More > Upload Documents Apply for Scholarship Create Q&A pairs Become a Tutor Are you an educator? Log in Sign up . message . We are alsoenhancing our technologies and support for the business sections of Fujitsu Ltd., where they develop business solutionsfor their customers, by analyzing the customers data together with the business sections in cooperation with theircustomers.TechnologyWe have developed the technology by enhancing our MBR technology, which predicts the class of a new case with highaccuracy by means of cases similar to the new case found from accumulated past cases.

View Full Document Home University of Houston-Victoria COSC COSC 6337 Memory-Based Reasoning A Data Mining Technology Applicable to Business Problems Memory-Based Reasoning A Data Mining Technology Applicable to Business Problems SCHOOL University of Houston-Victoria COURSE TITLE COSC 6337 TYPE Notes UPLOADED BY KH181 PAGES 1 Click to edit the document details This preview shows page 1. Apache Tomcat/7.0.30. Qi xid-62688461 13 pages SPSS White Paper University of Houston-Victoria COSC 6337 - Spring 2014 white paper Data Mining: an introduction Clementine Working with health care white pa SPSS White Paper 10 pages Using Mining for and on the Semantic Web University of Houston-Victoria COSC 6337 - Spring 2014 Usage Mining for and on the Semantic Web Gerd Stumme, Andreas Hotho Bettina Berendt I Using Mining for and on the Semantic Web 41 pages handout3 University of Houston-Victoria COSC 6337 - Spring 2014 COSC6337WebMiningand InformationRetrieval DepartmentofComputerScience Dr.QiZhu DataMi handout3 View more Study on the go Download the iOS app Download the Android app Other Related Materials 20 pages Business Intelligence notes Georgia State CSC 4222 - Fall 2014 15.564 Information Technology I 15.564 Information Technology I Business Intelligence Business Intelligence notes 37 pages Concept hierarchy is also important Discovered knowledge might be more Krishna Institute Of Engineering and Technology CSE 10 - Winter 2015 Data Mining: Concepts and Techniques November 7, 2015 Data Mining: Concepts and Techn 01.PPT 6 pages Data mining is different from OLAP because rather than verify hypothetical Interamerican Open University COMPUTER 9291 - Winter 2015 Introduction to data mining Data mining is the exploration and analysis of large quan 226070241-Data-Mining 57 pages L1Intro UT Arlington CSE 4334 - Fall 2015 Data Mining: Introduction Introduction to Data Mining Introduction to Data Mining 1 W L1Intro 63 pages Another approach is to calculate a substitute value Some common strategies for Anna University CSE 2208 - Spring 2012 NOORUL ISLAM COLLEGE OF ENGINEERING, KUMARACOIL. Page1 / 1 Memory-Based Reasoning A Data Mining Technology Applicable to Business Problems This preview shows document page 1. Cookies are required to use this site. View Full Document This is the end of the preview. Ask a homework question - tutors are online 084f2db8c6

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