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Titlebook: Innovation Management for Technical Products; Systematic and Integ Walter Eversheim Book 2009 Springer-Verlag Berlin Heidelberg 2009 Innova

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发表于 2025-3-21 19:50:17 | 显示全部楼层 |阅读模式
书目名称Innovation Management for Technical Products
副标题Systematic and Integ
编辑Walter Eversheim
视频video
概述A systematic planning methodology for product innovation on the basis of practical examples.Innovation Road Map is supported by an interactive, multiple user software tool "EDEN" on an ontology basis.
丛书名称RWTHedition
图书封面Titlebook: Innovation Management for Technical Products; Systematic and Integ Walter Eversheim Book 2009 Springer-Verlag Berlin Heidelberg 2009 Innova
描述.New ideas for new products are not enough for creating successful markets: Product Innovation means to manage the whole chain from invention to new and best selling products in market. This innovation roadmap has to be carefully and systematically planned and procured. There are a lot of methods for creativity, market analysis, evaluation, technology forecast, and decision gates available within this book. These methods and tools are brought together and their scopes of application as well as their limitations are shown. The whole tool kit of methods and decision models like market studies, value engineering, TRIZ or portfolio analysis and others are linked together to the overall Aachen Innovation Model (AIM)...This handbook is to be used as an innovation management guide as well as an information source for nearly all methods and tools in the field of innovation for technical products...The complete Innovation Road Map is supported by an interactive, multiple user software tool "EDEN" on an ontology basis. Thus the user has not only access to the collected know how of the past, but can also contribute to growth of expertise within his or her enterprise..
出版日期Book 2009
关键词Innovation Management; Innovation Workshops; InnovationRoadMap; Portfolio Analysis; Technology Roadmappi
版次1
doihttps://doi.org/10.1007/978-3-540-85727-3
isbn_softcover978-3-642-09932-8
isbn_ebook978-3-540-85727-3Series ISSN 1865-0899 Series E-ISSN 1865-0902
issn_series 1865-0899
copyrightSpringer-Verlag Berlin Heidelberg 2009
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Uwe H. Böhlke,Markus Grawatsch,Winfried J. Huppmann,Thomas Breuer,Daniel E. Spielberg,Christian Rosi
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Walter Eversheim,Elke Baessler,Thomas Breuers preprocessed for missing values, outliers, noisy and errors. Then the model is experimented using decision tree (j48) and rule induction (PART) algorithms. In this study as compared to j48, the PART unpruned decision list algorithm has 98.003% predictive performance. Thus, the knowledge discovered
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Walter Eversheim,Elke Baessler,Thomas Breuer for databases. Extensive experiments are designed to conduct both performance testing and analyzing under different schemas. The experimental results show that a reasonable configuration can contribute a good database performance, which provides factual basis for optimizing highly concurrent applic
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rent join partners together according to a statistic driven grouping algorithm. Our experiments on an Oracle9i database yield an average speed-up between 20% and 10,000% for spatial collision queries on the Relational Interval Tree and on the Relational Quadtree.
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