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A survey of large scale data management approaches in cloud environments
In the last two decades, the continuous increase of computational power has produced an
overwhelming flow of data. Moreover, the recent advances in Web technology has made it …
overwhelming flow of data. Moreover, the recent advances in Web technology has made it …
Networking for big data: A survey
Complementary to the fancy big data applications, networking for big data is an
indispensable supporting platform for these applications in practice. This emerging research …
indispensable supporting platform for these applications in practice. This emerging research …
Multispectral pedestrian detection: Benchmark dataset and baseline
With the increasing interest in pedestrian detection, pedestrian datasets have also been the
subject of research in the past decades. However, most existing datasets focus on a color …
subject of research in the past decades. However, most existing datasets focus on a color …
Distributed graphlab: A framework for machine learning in the cloud
Y Low, J Gonzalez, A Kyrola, D Bickson… - ar** techniques able to index and mine very large collections of time series …
Scalable graph processing frameworks: A taxonomy and open challenges
The world is becoming a more conjunct place and the number of data sources such as
social networks, online transactions, web search engines, and mobile devices is increasing …
social networks, online transactions, web search engines, and mobile devices is increasing …
Large scale graph processing systems: survey and an experimental evaluation
Graph is a fundamental data structure that captures relationships between different data
entities. In practice, graphs are widely used for modeling complicated data in different …
entities. In practice, graphs are widely used for modeling complicated data in different …