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Titlebook: Innovation Management in the Intelligent World; Cases and Tools Tugrul U. Daim,Dirk Meissner Book 2020 Springer Nature Switzerland AG 2020

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發(fā)表于 2025-3-27 00:52:17 | 只看該作者
32#
發(fā)表于 2025-3-27 03:24:47 | 只看該作者
Aishwarya Joy,Tyler Stahl,Caitlin Mohnike,Rushikesh Jirage,Kate Darcy Kula,Tugrul U. Daimases-terms and their applications. It provides a forum for technical presentations and discussions among database researchers, developers and users from academia, business and industry. DASFAA 2015 the 20th in the series, was held during April 20-23, 2015 in Hanoi, Vietnam. In this year, we carefull
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發(fā)表于 2025-3-27 05:39:37 | 只看該作者
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發(fā)表于 2025-3-27 09:32:53 | 只看該作者
er the problem of maintaining the ranking lists of items for preference queries in dynamic virtual environments, which is very useful for avatars in virtual environments to continuously monitor interesting items surrounding them. Traditional solutions on preference queries utilize the pre-computed m
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發(fā)表于 2025-3-27 15:23:18 | 只看該作者
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發(fā)表于 2025-3-27 19:08:47 | 只看該作者
Bashair Al Saglab,Charles Asafo-Adjei,Shahram Khorasanizadeh,Stephan Hoo-Fatt,Tugrul U. Daim,Dirk Meases-terms and their applications. It provides a forum for technical presentations and discussions among database researchers, developers and users from academia, business and industry. DASFAA 2015 the 20th in the series, was held during April 20-23, 2015 in Hanoi, Vietnam. In this year, we carefull
37#
發(fā)表于 2025-3-27 23:14:29 | 只看該作者
Colette Marthaller,Tanzila Akhter,Luciane Dolgos,Jessier Truong,Marthed Mohammed,Abdalilah Owaishiz,ion at any given time. Due to the current growth of data volumes, timely extraction of relevant information becomes more and more difficult with traditional methods. In addition, contemporary Decision Support Systems (DSS) favor faster approximations over slower exact results. Generally speaking, pr
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發(fā)表于 2025-3-28 02:07:06 | 只看該作者
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發(fā)表于 2025-3-28 06:25:46 | 只看該作者
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發(fā)表于 2025-3-28 11:07:55 | 只看該作者
Kevin D’Souza,Jesse Fritz,Gwendolyn Jester,Jacqueline Nayame,Janet Rosenthal,Matt Yamamoto,Tugrul U.ing performances can be delivered, MDP-DIV suffers from a very slow convergence, which hinders its usability in real applications. In this paper, we aim to promote the performance of MDP-DIV by speeding up the convergence rate without much accuracy sacrifice. The slow convergence is incurred by two
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