Domain Driven Data Mining

Towards Domain-Driven, Actionable Knowledge Discovery and Delivery

Welcome to Domain Driven Data Mining

DDDM-SIG aims to promote the research, innovations and applications of domain-driven, actionable knowledge discovery and actionable intelligence for better AI and data science research, practice and impact.

News

[Jan 2021] The full-day workshop DDDM2021 will be joint with SDM2021.

[Dec 2020] The Special Issue on Domain Driven Data Mining with International Journal of Data Science and Analytics.

[May 2014] The full-day workshop DDDM2014 will be joint with ICDM2014, Proceedings published by IEEE Computer Press.

[May 2013] The full-day workshop DDDM2013 will be joint with ICDM2013, Proceedings published by IEEE Computer Press.

[May 2011] The full-day workshop DDDM2011 will be joint with ICDM2011, Proceedings published by IEEE Computer Press.

[Dec 2010] The full-day workshop DDDM2010 has been successfully organized with ICDM2010 in Sydney, Proceedings published by IEEE Computer Press.

[Oct 2010] The Special Issue on Domain-Driven Data Mining with IEEE Transactions on Knowledge and Data Engineering.

[Jan 2010] Springer announced the publication of the monograph: Domain Driven Data Mining.

[Dec 2009] The full-day workshop DDDM2009 has been successfully organized with ICDM2009 in Miami, Proceedings published by IEEE Computer Press.

[Nov 2009] Springer published the edited book: Data Mining and Multi-agent Integration, the first edited book in Agent Mining.

[May 2009] Springer published the AAMAS-ADMI09 Workshop Proceedings: Agents and Data Mining Interaction.

[May 2009] IEEE Intelligent Systems published the special issue on Agents and Data Mining, agent-based data mining is one of the key topics in Agent Mining.

[Dec 2008] Workshop DDDM2008 has been successfully organized with ICDM2008, Proceedings published by IEEE Computer Press.

[Dec 2008] Springer published the edited book: Data Mining for Business Applications, the first edited book in Agent Mining.

[Jul 2007] IEEE Intelligent Systems published the Department: Domain-driven, Actionable Knowledge Discovery.

[Dec 2005] A paper on "Domain-Driven In-Depth Pattern Discovery: A Practical Methodology" initiated the priliminary research on Domain Driven Data Mining.