finale 发表于 2025-3-23 12:04:06
http://reply.papertrans.cn/63/6255/625435/625435_11.png优雅 发表于 2025-3-23 17:07:26
http://reply.papertrans.cn/63/6255/625435/625435_12.png复习 发表于 2025-3-23 21:49:22
https://doi.org/10.1007/978-3-319-02612-1Cognitive Complexity; Collaborative Decision Making; Data Intensiveness; Data Mining Analytics; Data-IntMedicaid 发表于 2025-3-24 00:20:27
http://reply.papertrans.cn/63/6255/625435/625435_14.pngTruculent 发表于 2025-3-24 04:52:00
http://reply.papertrans.cn/63/6255/625435/625435_15.pngLice692 发表于 2025-3-24 09:11:09
http://reply.papertrans.cn/63/6255/625435/625435_16.pngAsseverate 发表于 2025-3-24 13:25:06
Studies in Big Datahttp://image.papertrans.cn/m/image/625435.jpg才能 发表于 2025-3-24 18:35:45
http://reply.papertrans.cn/63/6255/625435/625435_18.png有危险 发表于 2025-3-24 19:30:37
Data Mining in Data-Intensive and Cognitively-Complex Settings: Lessons Learned from the Dicode Procomplex settings. Various sources were taken into consideration to establish these lessons, including user feedbacks obtained from evaluation studies, discussion in teams, as well as observation of services’ usage. The lessons are presented in a way that could aid people who engage in various phases of developing similar kind of systems.garrulous 发表于 2025-3-25 02:32:30
Book 2014ollaboration and decision making in data-intensive and cognitively complex settings. Whenever appropriate, Dicode builds on prominent high-performance computing paradigms and large data processing technologies to meaningfully search, analyze, and aggregate data from diverse, extremely large and rapi