Modern Data Warehousing, Mining, and Visualization

Modern Data Warehousing, Mining, and Visualization : Core Concepts

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For undergraduate/graduate-level Data Mining or Data Warehousing courses in Information Systems or Operations Management Departments electives. Taking a multidisciplinary user/manager approach, this text looks at data warehousing technologies necessary to support the business processes of the twenty-first century. Using a balanced professional and conversational approach, it explores the basic concepts of data mining, warehousing, and visualization-with an emphasis on both technical and managerial issues and the implication of these modern emerging technologies on those issues. Data mining and visualization exercises-using an included fully-enabled, but time-limited version of Megaputer's PolyAnalyst and TextAnalyst data mining and visualization software-give students hands-on experience with real-world applications.show more

Product details

  • Paperback | 274 pages
  • 190.5 x 228.6 x 12.7mm | 430.92g
  • Pearson Education (US)
  • Prentice Hall
  • Upper Saddle River, United States
  • English
  • references, index
  • 0131014595
  • 9780131014596

Back cover copy

Helping Future Managers Understand Data Warehousing Written from both a technical and a managerial standpoint, this text provides a foundation for teaching the basic concepts of data warehousing, mining, and visualization. This text places strong emphasis on helping students thoroughly understand the value of data warehouses and their associated technologies with a distinctly real-world orientation that emphasizes application and implementation over design and development in all topic areas. An Applied Approach to Understanding Data Warehousing With the end-of-chapter material, the Companion Website at www.prenhall.com/marakas, and Megaputer Intelligence, Inc's (c) PolyAnalyst(TM) and TextAnalyst(TM) data mining and visualization software applications packaged with this text, students will be hands on with the content! Data Mining and Data Visualization Exercises: Based on Megaputer's PolyAnalyst and TextAnalyst software applications, these tutorials will help students associate, classify, predict, and acquire knowledge from numerical and structured data.Extensive use of graphics and examples are used whenever a new concept is introduced. By referencing the material, students are able to clearly remember the .important material.Narrative vignettes present situations using fictitious characters to further clarify concepts associated with the process of making a decision.show more

About George M. Marakas

"George M. Marakas" is an Associate Professor of Information Systems and the BAT Faculty Fellow in Global IT Strategy at the Kelley School of Business at Indiana University in Bloomington. His teaching expertise includes systems analysis and design, technology-assisted decision making, managing IS resources, behavioral IS research methods, and data visualitation and decision support. In addition, Marakas is an active researcher in the area of systems analysis methods, data mining and visualization, creativity enhancement, conceptual data modeling, and computer self-efficacy. Dr. Marakas is a world-renown author of textbooks. Including this text, he has written "Systems Analysis and Design: An Active Approach" and "Decision Support Systems in the 21st Century, " Second Edition, both published by Prentice Hall. Marakas received his doctorate in Information Systems from Florida International University in Miami and his MBA from Colorado State University. Prior to his academic career, he enjoyed a highly successful career in the banking and real estate industries. His corporate experience includes senior management positions with Continental Illinois National Bank and the FDIC. In addition, Marakas served as president and CEO for CMC Group, Inc., a major RTC management contractor in Miami, for 3 years. During his tenure at the University of Maryland and now at Indiana University, Marakas distinguished himself both through his research and in the classroom. He received numerous national teaching awards, and his research has appeared in the top journals in his field. Beyond his academic endeavors, Marakas is also an active consultant and serves as an advisor to a number of organizations including the Central Intelligence Agency, the Department of the Treasury, the Department of Defense, British-American Tobacco, Xavier University, Citibank Asia-Pacific, Nokia Corporation, Eli Lilly Corporation, and United Information Systems, among many others. His consulting and executive education activities, spanning five continents, are concentrated primarily on e-commerce strategy, workflow reengineering, CASE tool integration, and global IT strategy formation. He is a Novell Certified Network Engineer and has been involved in the corporate beta testing program for Microsoft Corporation since 1990. Marakas is also an active member of a number of professional IS organizations, an avid golfer, a second-degree black belt in Tae Kwon Do, a PADI-certified divemaster, and a member of Pi Kappa Alpha fraternity.show more

Table of contents

1. Introduction to Data Mining, Warehousing, and Visualization. 2. The Data Warehouse. 3. Data Mining and Data Visualization. 4. Machines that Can Learn. 5. Executive Information Systems. 6. Designing and Building the Data Warehouse. 7. The Future of Data Mining, Warehousing, and Visualization. References. Index.show more

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14 ratings
2.92 out of 5 stars
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3 0% (0)
2 29% (4)
1 21% (3)
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