Modern Data Warehousing Mining and Vizualization

For undergraduate/graduate-level courses in Information Systems or Operations and Decision Technologies 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 Megaputers PolyAnalyst and TextAnalyst data mining and visualization software- give students hands-on experience with real-world applications.

• A “real-world” users perspective, rather than a designers perspective- Emphasizes application and implementation over design and development in all topic areas. Helps student managers of tomorrow understand data warehouse design and develop the skills necessary to relate to the effective and strategic application of these technologies to advance the quality of problem identification and the associated solutions.
• Chapter Mini-cases- All derived from actual situations. Each mini-case makes specific reference to each of the key players in the scenario. Gives students a point of reference for the material presented in the chapters and facilitates additional investigation by individual students or student teams (using a variety of research tools) to further explore the situation.
• Extensive use of graphics and examples- For each concept introduced. Wherever possible, the diagrams contained in each chapter are not only referenced in the body of the text, but are positioned in such a way that they serve as a repeated visual reference for the textual discussion. Aids in students understanding of the material.
• Narrative Vignettes- Presents a situation using a fictitious cast of characters to further clarify concepts associated with the process of making a decision. Allows students not only to see how the particular technique under discussion is applied, but also to relate it to a set of circumstances or a context in which it might be considered relevant or applicable.
• Data Mining and Data Visualization Exercises- Based on Megaputers PolyAnalyst and TextAnalyst data mining and visualization software applications, the leader in the field. The version of the software included with the text is fully enabled, but has a “time out” feature built into it such that the software will only be available for use by the student during the semester in which they are studying with the text. Included with the Megaputer applications is access to several actual data sets to be used in both the tutorials for the application and for many of the Megaputer exercises included at the end of relevant chapters. Gives students hands-on experience in real-world data mining and data visualization applications.
• Questions for Review- Each chapter contains a list of 10 to 20 questions, with sample responses. Each question is phrased in such a manner that a detailed and precise answer can be readily found in the chapter. Supports student retention and understanding of the material.
• Further Discussion- Several questions at the end of each chapter ask for expanded answers on the material presented. Allows students to engage in a richer thought process on each topic. The questions can be used to engage students in an open class discussion and many of them can be easily expanded into individual or team mini-projects.

• 1. Introduction to Data Mining, Warehousing, and Visualization
• 2. The Data Warehouse
• 3. Data Mining and Data Visualization
• 4. Data Mining Technologies
• 5. Executive Information Systems
• 6. Designing and Building the Data Warehouse
• 7. The Future of Data Mining, Warehousing, and Visualization.
• References
• Index