Agent Intelligence Through Data Mining - Andreas L. Symeonidis,Pericles A. Mitkas
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Knowledge, hidden in voluminous data repositories routinely created and maintained by today¿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 fro ... Full description
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Description
Knowledge, hidden in voluminous data repositories routinely created and maintained by today¿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.
More Information
| Author | Andreas L. Symeonidis, Pericles A. Mitkas |
|---|---|
| Publisher | Springer US |
| Series | Multiagent Systems, Artificial Societies, and Simulated Organizations |
| Release year | 2011 |
| Cover type | Softcover |
| EAN | 9781441937247 |