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Marketing analysts use data mining techniques to gain a reliable understanding of customer buying habits and then use that information to develop new marketing campaigns and products. Visual mining tools introduce a world of possibilities to a much broader and non-technical audience to help them solve common business problems.
PART 1: INTRODUCTION AND PROJECT PLANNING PHASE.
Introduction to Data Visualization and Visual Data Mining.
Step 1: Justifying and Planning the Data Visualization and DataMining Project.
Step 2: Identifying the Top Business Questions.
PART 2: DATA PREPARATION PHASE.
Step 3: Choosing the Business Data Set.
Step 4: Transforming the Business Data Set.
Step 5: Verify the Business Data Set.
PART 4: DATA ANALYSIS PHASE AND SUMMARY.
Step 6: Choosing the Visualization or Visual Mining Tool.
Step 7: Analyzing the Visualization or Mining Tool.
Step 8: Verifying and Presenting the Visualizations or MiningModels.
The Future of Visual Data Mining.
Posted August 24, 2002
Great book. This book tells you exactly how to do data mining. From how to map business questions on to data mining tasks to how to deploy and monitor data mining models. The various other books on data mining are good for understanding the maths behind the algorithms, but didn't tell me how to use them. This book does this.Was this review helpful? Yes NoThank you for your feedback. Report this reviewThank you, this review has been flagged.
Posted July 13, 2002
To my knowledge this is the only book on data mining that takes you through all the steps of the data mining cycle. The authors have clearly done data mining in the real world and understand that data preparation and model deployment and monitoring are just as important to the success of a project as is building the most accurate model. Highly recommended. The books is applicable to most data mining projects, not just those centered around visualization.Was this review helpful? Yes NoThank you for your feedback. Report this reviewThank you, this review has been flagged.
Posted July 1, 2002
This is a very useful book on how to achieve a successful data mining project. It details 8 steps in a data mining project and how visualization can play a role in each. Mercifully it covers more than just algorithms and spends 3 chapters on data preparation, 2 chapters on model verification and deploymment.Was this review helpful? Yes NoThank you for your feedback. Report this reviewThank you, this review has been flagged.