The Agents and Data Mining Interaction and Integration (AMII for short, or Agent Mining) has emerged as a promising area in recent years. This special interest group, AMII-SIG, aims to foster a forum for boosting the research and development on Agent Mining studies. AMII-SIG hosts events and efforts such as workshop series, special issues and edited books on Agent Mining research and applications.
Data Mining and Multi-agent Integration has just published!

 


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 .