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Titlebook: Rough Sets and Knowledge Technology; Third International Guoyin Wang,Tianrui Li,Yiyu Yao Conference proceedings 2008 Springer-Verlag Berli

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書(shū)目名稱Rough Sets and Knowledge Technology
副標(biāo)題Third International
編輯Guoyin Wang,Tianrui Li,Yiyu Yao
視頻videohttp://file.papertrans.cn/832/831917/831917.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Rough Sets and Knowledge Technology; Third International Guoyin Wang,Tianrui Li,Yiyu Yao Conference proceedings 2008 Springer-Verlag Berli
描述This volume contains the papers selected for presentation at the Third Inter- tional Conference on Rough Sets and Knowledge Technology (RSKT 2008) held in Chengdu, P. R. China, May 16–19, 2008. The RSKT conferences were initiated in 2006 in Chongqing, P. R. China. RSKT 2007 was held in Toronto, Canada, together with RSFDGrC 2007, as JRS 2007. The RSKT conferences aim to present state-of-the-art scienti?c - sults, encourage academic and industrial interaction, and promote collaborative research in rough sets and knowledge technology worldwide. They place emphasis on exploring synergies between rough sets and knowledge discovery, knowledge management, data mining, granular and soft computing as well as emerging application areas such as bioinformatics, cognitive informatics, and Web intel- gence, both at the level of theoretical foundations and real-life applications. RSKT 2008 focused on ?ve major research ?elds: computing theory and paradigms, knowledge technology, intelligent information processing, intelligent control, and applications. This was achieved by including in the conference program sessions on rough and soft computing, rough mereology with app- cations, dominance-based
出版日期Conference proceedings 2008
關(guān)鍵詞DOM; Web Intelligence; bioinformatics; cognition; data mining; fuzzy; intelligence; knowledge; learning; mach
版次1
doihttps://doi.org/10.1007/978-3-540-79721-0
isbn_softcover978-3-540-79720-3
isbn_ebook978-3-540-79721-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2008
The information of publication is updating

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Ruqian Luxers and reactors. A multi-scale approach to achieve intensification and shape optimization is developed and clearly explained..?.Providing readers with a tool box of reflections, techniques, methods, supported by literature reviews, .Heat & Mass Transfer Intensification and Shape Optimization: A Mu
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Mihir Kr. Chakrabortyws for the evaluation of the reduction of mould growth potential associated to a configuration of inside finishes is proposed. The extensive experimental campaign aiming the characterization of the moisture buffering capacity of interior finishing system and the assessment of a room’s hygroscopic in
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Huaxiong Li,Yiyu Yao,Xianzhong Zhou,Bing Huangto determine the relation between the coordinates. This approach will now be applied to two important irreversible processes: the Joule process (free expansion) in which the initial and final states of the system are true equilibrium states and the Joule—Thomson process, which is a continuous flow p
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Pawe? Delimata,Mikhail Moshkov,Andrzej Skowron,Zbigniew Surajto determine the relation between the coordinates. This approach will now be applied to two important irreversible processes: the Joule process (free expansion) in which the initial and final states of the system are true equilibrium states and the Joule—Thomson process, which is a continuous flow p
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Knowware: A Commodity Form of Knowledgeledge and experience. A PNL compiler then compiles ’program’s written in this PNL to form a domain knowledge base. Combined with a preexisting system shell, a prototype of the knowledge based system is automatically generated. We have applied this idea to automatic generation of ICAI and ICASE (SE =
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Introduction to 3DM: Domain-Oriented Data-Driven Data Miningat are we doing in a data mining process? What is the rule we should obey in a data mining process? Through analyzing existing data mining methods, and domain-driven (or user-driven) data mining models [3-5], we find that we should take a data mining process as a process of knowledge transformation.
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