Télécharger le livre :  Distributed Machine Learning and Gradient Optimization
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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...

Editeur : Springer
Parution : 2022-02-23
Collection : Big Data Management
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147,69
Télécharger le livre :  Preference-based Spatial Co-location Pattern Mining
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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....

Editeur : Springer
Parution : 2022-01-04
Collection : Big Data Management
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137,14
Télécharger le livre :  Graph Data Mining
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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...

Editeur : Springer
Parution : 2021-07-15
Collection : Big Data Management
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168,79
Télécharger le livre :  Large-scale Graph Analysis: System, Algorithm and Optimization
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This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and proposes several optimization techniques that can enable these systems to handle advanced graph algorithms efficiently. More...

Editeur : Springer
Parution : 2020-07-01
Collection : Big Data Management
PDF, ePub

147,69