APWeb and WAIM are two leading international conferences on the research, development, and applications of Web technologies, database systems, infor- tion management and software engineering, with a focus on the Asia-Paci?c - gion. The previous APWeb conferences were held in Beijing (1998), Hong Kong (1999), Xi’an (2000), Changsha (2001), Xi’an (2003), Hangzhou (2004), Sha- hai (2005), Harbin (2006), Huangshan (2007), and Shenyang (2008); and the previous WAIM conferences were held in Shanghai (2000), Xi’an (2001), Beijing (2002), Chengdu (2003), Dalian (2004), Hangzhou (2005), Hong Kong (2006), Huangshan (2007), and Zhangjiajie (2008). For the second time, APWeb and WAIM were combined to foster closer collaboration and research idea sharing, and were held immediately after IEEE ICDE 2009 in Shanghai. This high-quality programwould not have been possible without the authors who chose APWeb+WAIM as a venue for their publications. Out of 189 subm- ted papers from 21 countries and regions, including Australia, Austria, Bengal, Brazil, Canada, France, Greece, Hong Kong, India, Iran, Japan, Korea, Macau, Mainland China, Myanmar, The Netherlands, Norway, Taiwan, Thailand, UK, and USA, we selected 42 full papers and 26 short papers for publication. The acceptancerate for regular full papers is 22%.The contributed papers addressed a wide scope of issues in the ?elds of Web-age information management and advanced applications, including Web data mining, knowledge discovery from streaming data, query processing,multidimensional data analysis, data mana- ment support to advanced applications, etc.
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This book constitutes the proceedings of the joint International Conference APWeb/WAIM 2009 which was held in Suzhou, China, during April 1-4, 2009.
The 42 full papers presented together with 26 short papers and the abstracts of 2 keynote speeches were carefully reviewed and selected for inclusion in the book. The topics covered are query processing, topic-based techniques, Web data processing, multidimensional data analysis, stream data processing, data mining and its applications, and data management support to advanced applications.
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