Calls for papers


International Journal of Intelligent Information and Database Systems
International Journal of Intelligent Information and Database Systems


Special Issue on: “Interaction between Agents and Data Mining”

Guest Editors:
Dr. Longbing Cao, University of Technology, Sydney, Australia
Dr. Zili Zhang, Deakin University, Australia
Prof. Vladimir I. Gorodetski, Russian Academy of Sciences, Russia
Prof. Chengqi Zhang, University of Technology, Sydney, Australia

In the last decade, agents and data mining have emerged as two of most dynamic areas in information technology field. The nature and complementarity of both areas foreshadows an emergent trend that is the increasing interaction between agents and data mining. As a result, both sides are greatly enhanced in terms of solving existing individual challenges and innovating new research and development opportunities. This interaction will greatly strengthen the progress of each side, and trigger new R&D challenges and prospects towards the advancement of next-generation intelligent technologies and systems as well as the enrichment of integrated intelligence and other emergent aspects.

In order to promote this emerging and promising area, we have initiated two international workshops: International Workshop on Autonomous Intelligent Systems: Agents and Data Mining (AIS-ADM2005, Proceedings by Springer Press,, and IEEE/ACM/WIC International Workshop on Interaction between Agents and Data Mining (IADM2006/ADMI2006, Proceedings by IEEE Computer Society Press, ( The next event will be AIS-ADM2007 (

This special issue, as one of the earliest contributions on this critical topic, aims to encourage the interaction between agents and data mining towards mutual enhancement and super-intelligent synergism. It will bring together researchers and industry practitioners from both areas to share the results of R&D and discuss the existing and emerging theoretical and applied problems in the interaction and evolution.

Subject Coverage
Relevant topics include but are not limited to:
  • Interaction Challenges and Prospects
    • Challenges and prospects of agent and data mining interaction
    • Theoretical foundation for the interaction between agents and data mining
    • Building super-intelligent organism
    • Metasynthetic engineering of agents and data mining
    • Surveys and lessons learnt
  • Agent-Enriched Knowledge Discovery and Data Mining
    • Agent-based next-generation KDD infrastructure
    • Agent-based meta-knowledge discovery and representation
    • Agent-enriched interactive data mining
    • Agent-enriched human mining cooperation
    • Agent-enriched data mining process and management
    • Agent-enriched constrained data mining
    • Agent-enriched parallel data mining
    • Agent-enriched multiple data source mining
    • Agent-enriched link mining
    • Agent-enriched distributed data mining
    • Agent-enriched grid computing
    • Agent-enriched web mining
    • Agent-enriched mediation and management of enterprise data mining
    • Agent-enriched ontology mining
    • Agent-human-cooperated data mining
    • Agent networks in distributed knowledge discovery and servicing
    • Agent service-based KDD infrastructure
    • Agent-supported domain knowledge involvement in KDD
    • Agent-supported software tools for KDD
    • Automated data mining learning
    • Ontological engineering in agent-based KDD infrastructure
    • Protocols for agent-based data mining systems
    • Self-organising data mining learning
  • Data Mining Driven Agent Intelligence Enhancement
    • Data mining-driven agent intelligence enhancement
    • Data mining-driven agent learning, adaptation and evolution
    • Data mining-driven multi-agent communication, planning and dispatching
    • Data mining-driven user modelling
    • Data mining-driven user servicing
    • Data mining-driven trading agents
    • Distributed learning in multi-agent systems
    • Distributed learning in agent coordination
    • Self-organised and self-learning agents
    • Emergent agent organisation and behaviour
    • Self-organised agents and agent systems
    • Self-learning agents and agent systems
  • Emerging Intelligent Applications
    • Agent service-based data mining infrastructure
    • Data mining-driven web assistant
    • Data mining-driven agent recommenders
    • Mobile agent-driven web recommenders
    • Case studies

    Notes for Prospective Authors

    Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere

    All papers are refereed through a peer review process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Author Guidelines page

    Important Dates

    Manuscript due: 30 November, 2006

    Notification: 31 January, 2007

    Final manuscript due: 31 March, 2007