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Decision Support Systems and Megaputer, 2/E
ISBN-10: 0131018795
ISBN-13: 9780131018792
Publisher: Prentice Hall
Copyright: 2003
Format: Kit/Package/ShrinkWrap; 611 pp
Published: 08/23/2002
We're sorry, this product is no longer available and has been replaced withDecision Support Systems, 2/E.
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For a Decision Support System course offered in business schools.
Packed with essential information, highly current text provides a thorough understanding of the support aspect of DSS. Written from cognitive processes and decision-making perspective, it concentrates on issues that emphasize managerial applications and the implications of decision support technology on those issues and includes commercial data mining software for experiential learning.
Brings the student up-to-date with the hottest topics in DSS.
Provides the students with an actual Data Mining program to get real world experience.
Highlights the Internet as a key component of learning DSS.
Gives students information on material they need to succeed in the DSS course.
Gives students the coverage they need to succeed in the course.
Students aren't inundated with repetitive material they do not need.
Brings the student up-to-date with the hottest topics in DSS.
Provides the students with an actual Data Mining program to get real world experience.
Highlights the Internet as a key component of learning DSS.
Gives students information on material they need to succeed in the DSS course.
1. Introduction to Decision Support Systems.
2. Decisions and Decision Makers.
3. Decision in the Organization.
4. Modeling Decision Processes.
5. Group Decision Support and Groupware Technologies.
6. Executive Information Systems.
7. Expert Systems and Artificial Intelligence.
8. Knowledge Engineering and Acquisition.
9. Machines That Can Learn.
10. The Data Warehouse.
11. Data Mining and Data Visualization.
12. Designing and Building the Data Warehouse.
13. The Systems Perspective of a DSS.
14. Designing and Building Decision Support Systems.
15. Implementing and Integrating Decision Support Systems.
16. Creative Decision Making and Problem Solving.
17. Intelligent Software Agents, Bots, Delegation, and Agency.
18. Decision Support in the Twenty-First Century.
Appendix A: Decision Style Inventory III.
References.
Index.
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 visualization 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.
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 leis 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 activities 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 PADI-certified divemaster, and a member of Pi Kappa Alpha fraternity.
Learn
Data warehousing, data mining and visualization, and intelligent agent technology.
Practice
With the end-of-chapter material, the Companion Website at www.prenhall.com/marakas, and Megaputer Intelligence, Inc.'s©, PolyAnalyst and TextAnalyst data mining and visualization software applications.
The Megaputer software suite represents the leading edge in data mining and visualization applications and is being distributed exclusively with this textbook. Real-world data sets are used in both the tutorials and for many of the Megaputer exercises included at the end of relevant chapters. Students will use the Megaputer software in conjunction with exercises from this text to associate, classify, predict, and acquire knowledge from numerical and structured data.
Apply
The expertise gained from Marakas's Decision Support Systems in the 21st Century, Second Edition, and the Megaputer software as they enter the workforce to make informed managerial decisions with knowledge extracted from data mining and warehousing technologies.
This package contains:
Marakas, Decision Support Systems, 2/E (2003)
Marakas, Megaputer Software Suite CD-ROM (2003)
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