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Data cleaning has become an indispensable part of data analysis due to the increasing amount of dirty data. Data scientists spend most of their time preparing dirty data before it can be used for data analysis. Existing solutions that attempt to automate t ...
Modern server hardware is increasingly heterogeneous as hardware accelerators, such as GPUs, are used together with multicore CPUs to meet the computational demands of modern data analytics workloads. Unfortunately, query parallelization techniques used by ...
Smart micro/nano systems will foster a revolution in health and environmental management, with the final objective of improving security and quality of life. At the same time, they will create a large market of components and systems, and a renewed perspec ...
Nanosystems - based on the systematic application of nano-technologies - will create a large market of applications and a renewed perspective for electronic design and manufacturing companies. Such systems will be the fundamental building blocks of wearabl ...
A major component of many cloud services is query processing on data stored in the underlying cloud cluster. The traditional techniques for query processing on a cluster are those offered by parallel DBMS. These techniques however, cannot guarantee high pe ...
The ongoing scaling and hybridisation of manufacturing technologies enables us to attain unprecedented levels performance as well as to integrate electronic and fluidic circuits with sensors and actuators. Smart micro/nano systems will be the building bloc ...
In this paper, we address the problem of building an anonymized medical database from multiple sources. Our proposed solution defines how to achieve data integration in a heterogeneous network of many clinical institutions, while preserving data utility an ...