拥护者
发表于 2025-3-23 11:08:57
http://reply.papertrans.cn/19/1857/185653/185653_11.png
红润
发表于 2025-3-23 15:39:06
Smart Sampling and Optimal Dimensionality Reduction of Big Data Using Compressed Sensing,omputational biology and social networks are now overwhelmed with large-scale databases that need computationally demanding manipulation. Several techniques have been proposed for dealing with big data processing challenges including computational efficient implementations, like parallel and distrib
Spinal-Fusion
发表于 2025-3-23 18:05:40
http://reply.papertrans.cn/19/1857/185653/185653_13.png
越自我
发表于 2025-3-24 00:33:16
http://reply.papertrans.cn/19/1857/185653/185653_14.png
修正案
发表于 2025-3-24 05:33:30
Big Network Analytics Based on Nonconvex Optimization,ssing. Many network issues can be modeled as nonconvex optimization problems and consequently they can be addressed by optimization techniques. In the pipeline of nonconvex optimization techniques, evolutionary computation gives an outlet to handle these problems efficiently. Because, network commun
DUST
发表于 2025-3-24 09:41:51
Large-Scale and Big Optimization Based on Hadoop,nal issues in modeling real-world problems. Computation can easily outgrow the computing power of standalone computers as the size of problem increases. The modern distributed computing releases the computing power constraints by providing scalable computing resources to match application needs, whi
LUMEN
发表于 2025-3-24 12:33:12
http://reply.papertrans.cn/19/1857/185653/185653_17.png
Simulate
发表于 2025-3-24 16:37:02
http://reply.papertrans.cn/19/1857/185653/185653_18.png
性冷淡
发表于 2025-3-24 20:44:42
http://reply.papertrans.cn/19/1857/185653/185653_19.png
Kaleidoscope
发表于 2025-3-24 23:37:52
Big Data: Who, What and Where? Social, Cognitive and Journals Map of Big Data Publications with Foclarge data handling different scientific communities are working. We employ scientometric mapping techniques to identify who works on what in the area of big data and large scale optimization problems.