DATABASE MODELING AND DESIGN The Morgan Kaufmann Series in Data Management Systems (Selected Titles) Joe Celko’s Data, Measurements and Standards in SQL Joe Celko Information Modeling and Relational Databases, 2nd Edition Terry Halpin, Tony Morgan Joe Celko’s Thinking in Sets Joe Celko Business Metadata Bill Inmon, Bonnie O’Neil, Lowell Fryman Unleashing Web 2.0 Gottfried Vossen, Stephan Hagemann Enterprise Knowledge Management David Loshin Business Process Change, 2nd Edition Paul Harmon IT
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This page intentionally left blank Te n t h E d i t i o n MODERN DATABASE MANAGEMENT Editorial Director: Sally Yagan Editor in Chief: Eric Svendsen Executive Editor: Bob Horan Editorial Project Manager: Kelly Loftus Editorial Assistant: Jason Calcano Director of Marketing: Patrice Lumumba Jones Marketing Manager: Anne Fahlgren Marketing Assistant: Melinda Jensen Senior Managing Editor: Judy Leale Project Manager: Becca Richter Senior Operations Supervisor: Arnold Vila Operations
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Analysis, and show how they lead to increased accuracy in the detection of fraud by at least 78% in our reference dataset. We also discuss how a combination of these strategies can be embedded in a Stream-based application to detect fraud in real-time. From this perspective, our experiments lead to an average processing time of 111,702ms per transaction, while strategies to further improve the performance are discussed. Keywords: Fraud Detection, Stream Computing, Real-Time Analysis, Fraud, Data Mining
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MODERN DATABASE MANAGEMENT / JfFFREY A. HOFFER . Warehousing Success 426 Data Warehouse Architectures 428 Generic Two-Level Architecture 428 Independent Data Mart Data Warehousing Environment 426 429 C O NTENTS Dependent Data Mart and Operational Data Store Architecture: A Three-Level Approach Logical Data Mart and Real-Time Data Warehouse Architecture 432 Three-Layer Data Architecture 435 Role of the Enterprise Data Model 435 Role of Metadata 436 Some Characteristics
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Analysis, and show how they lead to increased accuracy in the detection of fraud by at least 78% in our reference dataset. We also discuss how a combination of these strategies can be embedded in a Stream-based application to detect fraud in real-time. From this perspective, our experiments lead to an average processing time of 111,702ms per transaction, while strategies to further improve the performance are discussed. Keywords: Fraud Detection, Stream Computing, Real-Time Analysis, Fraud, Data Mining
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AC14/AT11 Database Management Systems TYPICAL QUESTIONS & ANSWERS PART -I OBJECTIVE TYPE QUESTIONS Each Question carries 2 marks. Choosethe correct or the best alternative in the following: Q.1 Which of the following relational algebra operations do not require the participating tables to be union-compatible? (A) Union (B) Intersection (C) Difference (D) Join Ans: (D) Q.2 Which of the following is not a property of transactions? (A) Atomicity (B) Concurrency (C) Isolation
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of the 1976 United States Copyright Act, without the prior written permission of the publisher. For product information and technology assistance, contact us at Cengage Learning Customer & Sales Support, 1-800-354-9706 For permission to use material from this text or product, submit all requests online at www.cengage.com/permissions Further permission questions can be emailed to permissionrequest@cengage.com ISBN-13: 978-0-324-59768-4 ISBN-10: 0-324-59768-1 Course Technology 25 Thomson
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Systems Analysis and Design Download at www.Pin5i.Com Editorial Director: Sally Yagan Editor in Chief: Eric Svendsen Executive Editor: Bob Horan Editorial Assistant: Ashlee Bradbury Director of Marketing: Patrice Lumumba Jones Executive Marketing Manager: Anne Fahlgren Senior Managing Editor: Judy Leale Production Project Manager: Kelly Warsak Senior Operations Supervisor: Arnold Vila Operations Specialist: Cathleen Petersen Creative Director: Blair Brown Senior Art Director/Design Supervisor: Janet
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CORE CONCEPTS OF Accounting Information Systems Twelfth Edition Mark G. Simkin, Ph.D. Professor Department of Accounting and Information Systems University of Nevada Jacob M. Rose, Ph.D. Professor Department of Accounting and Finance University of New Hampshire Carolyn Strand Norman, Ph.D., CPA Professor Department of Accounting Virginia Commonwealth University JOHN WILEY & SONS, INC. VICE PRESIDENT & PUBLISHER SENIOR ACQUISITIONS EDITOR PROJECT EDITOR ASSOCIATE
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® OCA Oracle Database 11g: SQL Fundamentals I Exam Guide (Exam 1Z0-051) ABOUT THE AUTHORS John Watson (Oxford, UK) works for BPLC Management Consultants, teaching and consulting throughout Europe and Africa. He was with Oracle University for several years in South Africa, and before that worked for a number of companies, government departments, and NGOs in England and Europe. He is OCP qualified in both database and Application Server administration. John is the author of several books
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