Data Visualization and Data Mining: Techniques and Tools for Data Visualization and Data Mining

Author: Tom Soukup Ian Davidson
Publisher:
Publish Date: 2004-01-01
Features: This book first helps you prepare raw data and transform it into a business dataset, then uses data visualization and data mining tools and techniques to analyze the prepared business dataset. Typically, raw data needs to be appropriately transformed to generate more data to answer the business problems that need to be solved. Sometimes, the findings can lead to the refinement and refinement of business problems in the enterprise. Visualization and data mining models make it easier and faster to observe and understand datasets, thereby enhancing the ability for in-depth analysis. Data visualization and data mining tools and techniques help users create visual data mining models, using these models to discover patterns in business datasets, thereby assisting in decision support and predicting new business opportunities. This book describes data visualization and data mining techniques, as well as the business problems that these techniques can solve. After introducing the business problems and basic principles, it explains step-by-step how to implement business intelligence projects using data visualization and data mining techniques with a complete example. Using data visualization and data mining tools and techniques, analysts can retrieve information from a fresh perspective quickly and easily to solve common business problems. Data visualization makes data mining simple, allowing business managers without technical backgrounds to better understand the market and make informed decisions. Additionally, this book introduces knowledge about visualization tools, expanding the scope of readers. This book is suitable for personnel at all levels of organizations implementing data visualization and data mining business intelligence solutions, including: data analysts, business analysts, domain experts, and decision-makers.