Preference-based spatial co-location pattern mining
by Fang, Yuan, WANG, LIZHEN, Zhou, Lihua
The development of information technology has made it possible to collect large amounts of spatial data on a daily basis. It is of enormous significance when it comes to discovering implicit, non-trivial and potentially valuable information from this spatial data. Spatial co-loc…
Distributed machine learning and gradient optimization
by Cui, Bin, Jiang, Jiawei, Zhang, Ce
Distributed machine learning and gradient optimization
by Cui, Bin, Jiang, Jiawei, Zhang, Ce
This book presents the state of the art in distributed machine learning algorithms that are based on gradient optimization methods. In the big data era, large-scale datasets pose enormous challenges for the existing machine learning systems. As such, implementing machine learnin…
Distributed machine learning and gradient optimization
by Cui, Bin, Jiang, Jiawei, Zhang, Ce
This book presents the state of the art in distributed machine learning algorithms that are based on gradient optimization methods. In the big data era, large-scale datasets pose enormous challenges for the existing machine learning systems. As such, implementing machine learnin…
Graph data is powerful, thanks to its ability to model arbitrary relationship between objects and is encountered in a range of real-world applications in fields such as bioinformatics, traffic network, scientific collaboration, world wide web and social networks. Graph data mini…
Graph data is powerful, thanks to its ability to model arbitrary relationship between objects and is encountered in a range of real-world applications in fields such as bioinformatics, traffic network, scientific collaboration, world wide web and social networks. Graph data mini…