"Ira Assent, Ralph Krieger, Petra Welter, Jörg Herbers, and Thomas Seidl Abstract
In scheduling of airport operations the unreliability of flight arrivals is a serious
challenge. Robustness with respect to flight delay is incorporated into re- cent
scheduling techniques. To refine proactive scheduling, we propose classification
of flights into delay categories. Our method is based on archived data at major
airports in current flight ..."
"Li-Tung Weng, Yue Xu, Yuefeng Li and Richi Nayak Abstract Nowadays most
existing recommender systems operate in a single organisational basis, i.e. a
recommender system recommends items to customers of one organisation based
on the organisation's datasets only. Very often the datasets of a single
organisation do not have sufficient resources to be used to generate quality
recommendations. Therefore, it would be beneficial if recomm ..."
Post-Mining of Association Rules(1st Edition) Techniques for Effective Knowledge Extraction: Techniques for Effective Knowledge Extraction by Yanchang Zhao, Chengqi Zhang, LongbingCao Encuadernación Desconocida, 394 Pages, Published 2009 by Information Science Publishing ISBN-13: 978-1-60566-405-7, ISBN: 1-60566-405-7
"To tackle this problem and facilitate the extraction of useful knowledge from
learned rules, Zhao, Zhang, and Cao edited this book to present a systemic
collection of the up-to-date techniques for reducing the numbers of association
rules, after mining. Such post-mining touches on many and varied practical
issues, such as the interestingness, redundancy, summarization, generalisation,
presentation, visualisation, and maintenance of ..."
"There is often a large number of association rules discovered in data mining practice, making it difficult for users to identify those that are of particular interest to them. Therefore, it is important to remove insignificant rules and prune redundancy as well as summarize, visualize, and post-mine the discovered rules. Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction provides a systematic collection on p ..."
"Data Mining and Multi agent Integration aims to re?ect state of the art research and development of agent mining interaction and integration (for short, agent min ing). The book was motivated by increasing interest and work in the agents data min ing, and vice versa. The interaction and integration comes about from the intrinsic challenges faced by agent technology and data mining respectively; for instance, ..."
"Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from “data-centered pattern mining” to “domain driven actionable knowledge discovery” for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical doma ..."
"2.4 Roth-Erev (RE) Roth and Erev's purpose was to create a strategy that would
mimic the behavior of human players in games with mixed strategy equilibria [3].
Therefore, they used reinforcement learning algorithms on the agent's profit
margins, in order to adjust them to the market's conditions. This
strategyonlydependson the agent's directfeedbackwiththe marketmechanism and
is therefore independent of the auction mechanism itself ..."
"The2009InternationalWorkshoponAgentsandDataMiningInteraction(ADMI 2009) was a joint event with AAMAS2009. In recentyears,agents and data mining interaction (ADMI), or agent mining forshort,hasemergedasaverypromisingresearch?eld. Followingthesuccessof ADMI 2006 in Hong Kong, ADMI 2007 in San Jose, and ADMI 2008 in Sydney, the ADMI 2009 workshop in Budapest provided a premier forum for sharing research ..."
"Andreas L. Symeonidis and Pericles A. Mitkas: Agent Intelligence Through Data
Mining. Springer Science and Business Media (2005) 5. Lotfi A. Zadeh: In quest
of performance metrics ... In Proc. of the Fourth International Workshop on
Performance Metrics for Intelligent Systems (PERMIS), 13-15 August 2002
Markus C. Huebscher and Julie A. McCann: Evaluation issues in autonomic
computing. In Proceedings of Grid and Cooperative Computin ..."
Autonomous Intelligent Systems Multi-Agents and Data Mining: Second International Workshop, AIS-ADM 2007, St. Petersburg, Russia, June 3-5, 2007, Proceedings (Lecture Notes in Computer Science) by Vladimir Gorodetsky, Chengqi Zhang, Victor A. Skormin, LongbingCao Paperback, 326 Pages, Published 2007 by Springer ISBN-13: 978-3-540-72838-2, ISBN: 3-540-72838-4
"Since early 1990, multi-agent systems (MAS), data mining, and knowledge d- covery (KDD) have remained areas of high interest in the research and - velopment of intelligent information technologies. Indeed, MAS o?ers powerful metaphors for information system conceptualization, a range of new techniques, and technologies speci?cally focused on the design and implementation of lar- scale open distributed intelligent systems. KDD also provi ..."