Data Mining and Multi-agent Integration has just published! Data Mining and Multi-agent Integration presents cutting-edge research, applications and solutions in data mining, and the practical use of innovative information technologies written by leading international researchers in the field.

Topics examined include:

• Integration of multiagent applications and data mining

• Mining temporal patterns to improve agents behaviour

• Information enrichment through recommendation sharing

• Automatic web data extraction based on genetic algorithms and regular expressions

• A multi-agent learning paradigm for medical data mining diagnostic workbench

• A multi-agent data mining framework

• Streaming data in complex uncertain environments

• Large data clustering

• A multi-agent, multi-objective clustering algorithm

• Interactive web environment for psychometric diagnostics

• Anomalies detection on distributed firewalls using data mining techniques

• Automated reasoning for distributed and multiple source of data

• Video contents identification

Please take a moment to view the book’s web page where you can find valuable information, including a flyer to print and distribute via your personal web page, in your correspondence, and at conferences, symposia and other events:  http://www.springer.com/978-1-4419-0521-5 .