• Term Paper on New Trends in Data Warehousing
    TERM PAPER ON NEW TRENDS IN DATA WAREHOUSING PRESENTED BY KOYA TEMITOPE ABAYOMI (ACU/597) IN PARTIAL FULFILMENT FOR THE REQUIREMENT OF TOPICS IN I.C.T (ICT 4107) April, 2010 TABLE OF CONTENT TITLE
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  • Data Warehousing
    Data Mining: Concepts and Techniques — Slides for Textbook — — Chapter 2 — ©Jiawei Han and Micheline Kamber Intelligent Database Systems Research Lab School of Computing Science Simon Fraser University, Canada http://www.cs.sfu.ca 2006年11月17日星期五 Data Mining: Concepts and Tech
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  • What Is Data Warehousing? Its Uses and Applications for Managers
    Abstract Many corporations are experiencing significant business benefits of using data warehouse technology. Users report gains in market competitiveness through increased revenue and reduced costs through information management. Data warehousing is thus a major issue within most organizations, an
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  • Data Warehousing
    Building and Maintaining a Data Warehouse OTHER NEW BOOKS FROM AUERBACH The Business Value of IT: Managing Risks, Optimizing Performance and Measuring Results Michael D. S. Harris, David Herron, and Stasia Iwanicki ISBN: 1-4200-6474-6 CISO Leadership: Essential Principles for Success Todd Fitz
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  • Data Warehousing
    Contents page Report.................................................................................................................................2 - 15 1. Tools.........................................................................................................................
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  • Data Warehousing and Olap
    Data warehousing and OLAP Swati Vitkar Research Scholar, JJT University, Rajasthan. Abstract: Data warehousing and on-line analytical processing (OLAP) are essential elements of decision support, which has increasingly become a focus of the database industry. Many commercial products and services a
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  • Data Warehousing
    Data Warehousing, Data Marts and Data Mining Data Marts A data mart is a subset of an organizational data store, usually oriented to a specific purpose or major data subject, that may be distributed to support business needs. Data marts are analytical data stores designed to focus on specific busi
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  • Introduction to Data Warehousing
    CompRef8 / Data Warehouse Design: Modern Principles and Methodologies / Golfarelli & Rizzi / 039-1 CHAPTER 1 Introduction to Data Warehousing I nformation assets are immensely valuable to any enterprise, and because of this, these assets must be properly stored and readily accessible
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  • Data Mining and Warehousing
    Summary: This is a thirteen that tells the reader all about Data Mining and Data Warehousing the evolution and the software's that are used and those that were used 10 years ago INTRODUCTION: The technology that exists with Data Mining and Warehousing is comparatively a new term but the technology
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  • Data Mining Techniques
    Data Mining Mechanisms and Techniques http://0-www.emeraldinsight.com.ditlib.dit.ie/journals.htm?issn=1065-075X&volume=15&issue=2&articleid=863127&show=html The supermarket industry is in a constant state of change. Increasing competition, a wide array of product offerings, inc
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  • Data Mining
    Data Mining: What is Data Mining? Overview Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mi
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  • Database and Data Warehouse
    I. Introduction “Everything has changed, except our way of thinking.” - Albert Einstein Data are a vital organizational resource that needs to be managed like other important business assets. Today’s business enterprises cannot survive or succeed without quality data about their internal ope
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  • Data Mining
    Data mining  Executive Summary…………………………………page 3  Introduction………………………………………….page 4~5  Impact in the organization and the application of data mining in business………………………………………………page 6~10 ï
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  • Data Ware Housing
    Telecommunications Data Warehouse (TDW) General Information Manual Information FrameWork (IFW) 2 Telecommunications Data Warehouse 3 5 Chapter 1. Introduction 5 The Telecommunications Market 6 Typical Uses of Business Intelligence and Data Warehouseing 7 Critical Success Factors in Business
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  • Building Data Mining Applications for Crm
    Building Data Mining Applications for CRM Introduction This overview provides a description of some of the most common data mining algorithms in use today.   We have broken the discussion into two sections, each with a specific theme: • Classical Techniques: Statistics, Neighborhoods an
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  • Data Mining
    Concepts of Knowledge Discovery in Databases(KDD) & Data Mining by Smt. Aradhana Jain (MCA) Abstract: The paper addresses some of the concepts of data mining and Knowledge discovery in databases(KDD), focusing on their background, how data mining works, what it can do and what it can’t do and
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  • Data Analysis
    MODERN DATABASE MANAGEMENT ;' JfFFREY A. HOFFER .4fniversity of Dayton ,/ MARY B. PRESCOTT University of TamjJa FRED R. McFADDEN University of Colorado-Colorado SjJ1ings ---PEARSON Prentice Hall Upper Saddle River, NeW' Jersey 07458 Library of Congress Cataloging-in-P
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  • Using Machine Learning Techniques
    A REVIEW OF STUDIES ON USING MACHINE LEARNING TECHNIQUES Abstract This paper provides an extensive review of studies related to expert estimation of software development using Machine-Learning Techniques (MLT). Machine learning in this new era, is demonstrating the promise of producing consist
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  • Data Leakage Detection
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 23, NO. 1, JANUARY 2011 51 Data Leakage Detection Panagiotis Papadimitriou, Student Member, IEEE, and Hector Garcia-Molina, Member, IEEE Abstract—We study the following problem: A data distributor has given sensitive data t
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  • A Data Warehouse Appliance Can Have a Huge Positive Impact on Businesses and Organizations
    Abstract Businesses and organizations of all sizes are becoming increasingly dependent on data analytics, and data warehouses or business analytic infrastructure has become a business critical application for many (if not most) companies. Indeed, these companies have always searched for better w
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