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☆─────────────────────────────────────☆ slaviadonkey (九河下梢|totoro的驴子) 于 (Tue Jan 20 11:20:12 2009) 提到: ======================================================== The 5th International Conference on Advanced Data Mining and Applications(ADMA2009) August 17-19, 2009 Beijing, China Submission Deadline: April 13, 2009 ======================================================== NOTE: The important days have been changed, please check out! Also, the website has been updated, welcome to the new access. http://www.adma2009.org (for public user) http://ksei.bnu.edu.cn/adma2009 (for CERNET user in China) ADMA2009 aims at bringing together the experts on data mining in the world, and provides a leading international forum for the dissemination of original research results in data mining, spanning applications, algorithms, software and systems, and different applied disciplines with potential in data mining. We kindly invite you to submit your original research results on any topics in the field of advanced data mining and applications. The full paper submission deadline is April 13, 2009 and all submissions are made electronically via the above conference website. The Proceedings of the conference will be published by Springer in its Lecture Notes in Computer Science series, and indexed by EI. The important dates of ADMA 2009 are: April 13, 2009 Submission of full papers May 25, 2009 Notification of papers acceptance Jun 3, 2009 Deadline of early registration Jun 3, 2009 Deadline of final camera-ready For detailed information, please relate to the CFP attached to this mail. For detailed instructions about paper submission, please visit the ADMA 2009 conference website. For any more info: please mail to adma2009@bnu.edu.cn (Organization Committee). We look forward to your submission and your participation in ADMA 2009 in Beijing, China. Happy new year! Best Regards. Sincerely, General Co-Chairs of ADMA 2009 Ronghuai Huang, Beijing Normal University, China Qiang Yang, Hong Kong University of Science and Technology, Hong Kong, China Program Co-Chairs of ADMA 2009 João Gama, University of Porto, Portugal Xiaofeng Meng, Renmin University of China, China Jian Pei, Simon Fraser University, Canada ADMA2009 ORGANIZATION COMMITTEE Beijing Normal University R&D Center for Knowledge Engineering ☆─────────────────────────────────────☆ slaviadonkey (九河下梢|totoro的驴子) 于 (Fri Apr 3 10:46:42 2009) 提到: keynote and invited speaker have been confirmed, visit at http://ksei.bnu.edu.cn/adma2009/key_speakers.htm Edward Y. Chang Director of Research, Google China http://infolab.stanford.edu/~ echang/ Title: Confucius and "its" Intelligent Disciples Abstract: Confucius is a great teacher in ancient China. His theories and principles were effectively spread throughout China by his disciples. Confucius is the product code name of Google Knowledge Search product, which is built at Google Beijing lab by my team. In this talk, I present Knowledge Search key disciples, which are machine learning subroutines that generates labels for questions, that matches existing answers to a question, that evaluates quality of answers, that ranks users based on their contributions, that distills high-quality answers for search engines to index, etc. I will also present the scalable machine learning services that we built to make these disciples effective and efficient. ☆─────────────────────────────────────☆ slaviadonkey (九河下梢|totoro的驴子) 于 (Fri Apr 3 10:47:07 2009) 提到: Prof. Charles Ling Department of Computer Science University of Western Ontario, Canada http://www.csd.uwo.ca/faculty/cling Title:From Machine Learning to Child Learning Abstract:Machine Learning endeavors to make computers learn and improve themselves over time. It is originated from analyzing human learning, and is now maturing as computers can learn more effectively than human for many specific tasks, such as adaptive expert systems and data mining. The effective and fruitful research in machine learning can now be used to improve our thinking and learning, especially for our children. In this talk, I will discuss my efforts in using machine learning (and AI) for child education in Canada and China. In early 2009, I hosted a TV series (天才孩子家家有) in a major talk show in China (湖湘讲堂). The impact of such work in China and around the world can be huge. ☆─────────────────────────────────────☆ slaviadonkey (九河下梢|totoro的驴子) 于 (Fri Apr 3 10:47:32 2009) 提到: Daniel Yeung Professor, Hong Kong Polytechnic University Computer Science Department, Hong Kong Title: Sensitivity Based Generalization Error for Supervised Learning Problems with Application in Feature Selection Abstract: Generalization error model provides a theoretical support for a classifier's performance in terms of prediction accuracy. However, existing models give very loose error bounds. This explains why classification systems generally rely on experimental validation for their claims on prediction accuracy. In this talk we will revisit this problem and explore the idea of developing a new generalization error model based on the assumption that only prediction accuracy on unseen points in a neighbourhood of a training point will be considered, since it will be unreasonable to require a classifier to accurately predict unseen points "far away" from training samples. The new error model makes use of the concept of sensitivity measure for multiplayer feedforward neural networks (Multilayer Perceptrons or Radial Basis Function Neural Networks). The new model will be applied to the feature reduction problem for RBFNN classifiers. A number of experimental results using datasets such as the UCI, the 99 KDD Cup, and text categorization, will be presented. ☆─────────────────────────────────────☆ slaviadonkey (九河下梢|totoro的驴子) 于 (Fri Apr 3 10:48:33 2009) 提到: Cao Longbing Associate Professor ,the University of Technology , Sydney (UTS), Australia Title: Data Mining in Financial Markets Abstract :The ongoing global financial recession has dramatically affected public confidence and market development. An example is the market manipulation schemes hidden in capital markets, which have caused losses in billions of dollars, dramatically damaging public confidence and contributing to the global financial and credit crisis. While most investors lost during market falls, for instance, sophisticated speculators can manipulate markets to make money by illegally using a variety of maneuvering techniques such as wash sales. With financial globalization, manipulators are becoming increasingly imaginative and professional, employing creative tactics such as using many nominee accounts at different broker-dealers. However, regulators currently are short on effective technology to promptly identify abnormal trading behavior related to complex manipulation schemes. As a result, shareholders are complaining that too few market manipulators were being caught. In this talk, I will discuss issues related to this topic, present case studies and lessons learned in identifying abnormal trading behavior in capital markets. I will discuss the use of data mining techniques in this area such as activity mining, combined mining, adaptive mining and domain-driven data mining. ☆─────────────────────────────────────☆ cbw (wbc) 于 (Fri Apr 3 16:16:12 2009) 提到: zhichi

[合集] ADMA2009 Call for paper!(updated)