Knowledge, hidden in voluminous data repositories routinely created and maintained by todaya (TM)s applications, can be extracted by data mining. The next step is to transform this discovered knowledge into the inference mechanisms or simply the behavior of agents and multi-agent systems. Agent Intelligence Through Data Mining addresses this issue, as well as the arguable challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity. This book contains a methodology, tools and techniques, and several examples of agent-based applications developed with this approach. This volume focuses mainly on the use of data mining for smarter, more efficient agents.
Agent Intelligence Through Data Mining is designed for a professional audience of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science.
This book is designed to help entrepreneurs understand how to obtain funding from an investor for the creation or development of a new business venture. It discusses how to evaluate a business concept from an investor's perspective before moving onto an examination of the practical issues involved, such as writing a compelling business plan and making a convincing presentation.
A1 Minerals Articles
A1 Minerals Books