By Peter Stone (auth.), Longbing Cao, Ana L. C. Bazzan, Andreas L. Symeonidis, Vladimir I. Gorodetsky, Gerhard Weiss, Philip S. Yu (eds.)
This booklet constitutes the completely refereed post-workshop lawsuits of the seventh foreign Workshop on brokers and knowledge Mining interplay, ADMI 2011, held in Taipei, Taiwan, in might 2011 together with AAMAS 2011, the tenth overseas Joint convention on independent brokers and Multiagent structures.
The eleven revised complete papers awarded have been rigorously reviewed and chosen from 24 submissions. The papers are geared up in topical sections on brokers for info mining; facts mining for brokers; and agent mining applications.
Read or Download Agents and Data Mining Interaction: 7th International Workshop on Agents and Data Mining Interation, ADMI 2011, Taipei, Taiwan, May 2-6, 2011, Revised Selected Papers PDF
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Additional info for Agents and Data Mining Interaction: 7th International Workshop on Agents and Data Mining Interation, ADMI 2011, Taipei, Taiwan, May 2-6, 2011, Revised Selected Papers
A self-organizing multi-agent system for online unsupervised learning in complex dynamic environments. In: Proceedings of the 23rd AAAI Conference on Artiﬁcial Intelligence, pp. 1808–1809. AAAI Press (2008) 20. : Agent-Based Distributed Data Mining: The KDEC Scheme. , Petta, P. ) Intelligent Information Agents. LNCS (LNAI), vol. 2586, pp. 104–122. Springer, Heidelberg (2003) 21. : The role of agents in distributed data mining: Issues and beneﬁts. In: IAT 2003: Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology, p.
1–15. Springer, Heidelberg (2004) 17. , Chan, P. ): Advances in Distributed and Parallel Knowledge Discovery. MIT Press, Cambridge (2000) 18. : Scalable, distributed data mining using an agent based architecture. In: Proceedings the 3rd International Conference on the Knowledge Discovery and Data Mining, pp. 211–214. AAAI Press (1997) 19. : A self-organizing multi-agent system for online unsupervised learning in complex dynamic environments. In: Proceedings of the 23rd AAAI Conference on Artiﬁcial Intelligence, pp.
Decrypt Sum Agent (DSA): DSA carries the array of RuleSet extracted from the returned ESA. It travels through all the hosts and let each host subtract the random number they generate when dealing with the ESA. e. Broadcast Agent (BA): When the DSA agent comes back to agent master the globally frequent k-itemsets ( Fk ) can be calculated from the decrypted RuleSet then BA is used to carry Fk to each host to update their knowledge. f. Over Agent (OA): It is used to notify all the hosts that algorithm has terminated.
Agents and Data Mining Interaction: 7th International Workshop on Agents and Data Mining Interation, ADMI 2011, Taipei, Taiwan, May 2-6, 2011, Revised Selected Papers by Peter Stone (auth.), Longbing Cao, Ana L. C. Bazzan, Andreas L. Symeonidis, Vladimir I. Gorodetsky, Gerhard Weiss, Philip S. Yu (eds.)