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Process-centric analytical processing of version control data
Sixth International Workshop on Principles of Software Evolution, 2003. Proceedings.
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Furthermore this paper proposes a new perspective on analyzing version control data. ...
This paper introduces a novel approach to enabling analytical processing of project data. The approach exploits source code repositories for information about project evolution. ...
. • Process-centric analysis of version control data. It is desired to process VCS data from a software processcentric viewpoint. ...
doi:10.1109/iwpse.2003.1231220
dblp:conf/iwpse/DraheimP03
fatcat:t67eisiymvbt7isvndbjcptu2q
Analytical processing of version control data
[article]
2009
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Ø Ú ÔÖÓ Ù Ø Ú ØÝ Ñ ×ÙÖ ÄÇ Ô Ö Ý¸ Ò Ö Ø Ú ÐÓÔ Ö×µ 1000 2000 3000 4000 5000 6000 Sum of changes 0 100 200 300 400 Mai.97. ...
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doi:10.17169/refubium-22636
fatcat:4znjmyhakvhavoyt2wt3ixopc4
Isabl Platform, a digital biobank for processing multimodal patient data
2020
BMC Bioinformatics
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Results We present Isabl, a customizable plug-and-play platform for the processing of multimodal patient-centric data. ...
However, data processing in accordance with best practices remains challenging and the data capital often becomes siloed. ...
the Papaemmanuil Laboratory, Computational Oncology, Center for Heme Malignancies and Department of Pediatrics for input on system design, functionality and system testing. ...
doi:10.1186/s12859-020-03879-7
pmid:33256603
fatcat:ehlgcmzqbvgz3cz5jhrij3dv7u
Practical Near-Data Processing for In-Memory Analytics Frameworks
2015
2015 International Conference on Parallel Architecture and Compilation (PACT)
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Vertex-Centric
2.9x performance and energy improvement
o Edge-centric version optimize for spatial locality
o Higher utilization for cachelines and DRAM rows
20
0
0.2
0.4
0.6
0.8
1 ...
o HW support at memory controllers [Ahn et al. ...
doi:10.1109/pact.2015.22
dblp:conf/IEEEpact/GaoAK15
fatcat:f5xuexzekzfl7h62fnpje6gfga
Integrating Healthcare Data for Enhanced Citizen-Centred Care and Analytics
[chapter]
2020
Studies in Health Technology and Informatics
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However, there is presently a large gap between the data collected, the systems that store the data, and any ability to perform big data analytics to combinations of such data. ...
Work presented here is being developed as part of an EU project with the ultimate aim to develop solutions for integrating healthcare data for enhanced citizen-centred care and analytics across Europe. ...
Acknowledgements This research is funded by the EU H2020 project SERUMS: Securing Medical Data in Smart Patient-Centric Healthcare Systems (grant code 826278). ...
doi:10.3233/shti200686
pmid:33227732
fatcat:lu4lkxuqkraf7pbcopbktuiznm
Call for Papers
2015
IEEE Internet Computing
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This special issue aims to explore technologies and issues from small user-centric models of individuals to realtime analytics on huge aggregations of user data. ...
This special issue seeks original articles that explore both small data (individual-scale data sources, processing, and modeling) and big data (community-level aggregation and analytics). ...
This special issue aims to explore technologies and issues from small user-centric models of individuals to realtime analytics on huge aggregations of user data. ...
doi:10.1109/mic.2015.33
fatcat:jpkhe4bbabaa7kpwqg3iiavn2m
BIG DATA - SCOPE AND CHALLENGES
2017
International Journal of Recent Advancement in Engineering & Research
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of Big Data.Here we discussed some challenges and application of Big Data. ...
It come s from different foundations like mobile devices, internet, social media, sensors, geospatial devices and other machine Traditional data processing and analysis of stru longer satisfy the challenges ...
Cryptographically enforced data centric security 8. Granular access control 9. Granular audits 10. ...
doi:10.24128/ijraer.2017.gh34lm
fatcat:bi55ngvvgjcm5izqohnj3waoxq
Intelligent Architectures for Intelligent Machines
[article]
2020
arXiv
pre-print
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We show that handling data well requires designing architectures based on three key principles: 1) data-centric, 2) data-driven, 3) data-aware. ...
properties of application data. ...
A detailed version of this talk can be found in [82] .
Data-Centric A data-centric architecture has at least four major characteristics. ...
arXiv:2008.06112v1
fatcat:zi2wzh65obbmhamoxnl32tjjgq
VIS4ML: An Ontology for Visual Analytics Assisted Machine Learning
2018
IEEE Transactions on Visualization and Computer Graphics
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While many VA workflows make use of machine-learned models to support analytical tasks, VA workflows have become increasingly important in understanding and improving Machine Learning (ML) processes. ...
The purpose of VIS4ML is to describe and understand existing VA workflows used in ML as well as to detect gaps in ML processes and the potential of introducing advanced VA techniques to such processes. ...
Most of these machine-centric sub-processes are K-Driven processes as they are controlled by the users but do not deliver output directly to the users except Display, which is a K-Oriented as a typical ...
doi:10.1109/tvcg.2018.2864838
pmid:30130221
fatcat:pmfmsct2ufdovo6bw7qvcwynha
Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses
2017
Nature Methods
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We would like to thank the authors of the SWATH-MS inter-laboratory study and of the human blood plasma dataset for providing the data to conduct this study. ...
We would like to further thank the Scientific IT Support (ID SIS) of ETH Zurich for support and maintenance of the lab-internal computing infrastructure and the HPC team (Brutus). ...
Data availability The raw data and processed results of the analysis of the
Supplementary Material Refer to Web version on PubMed Central for supplementary material. ...
doi:10.1038/nmeth.4398
pmid:28825704
pmcid:PMC5581544
fatcat:7wwqa6bdsbcnpo4iufhzvsuzcm
Big Data Provenance: Challenges and Implications for Benchmarking
[chapter]
2014
Lecture Notes in Computer Science
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Data Provenance is information about the origin and creation process of data. ...
Such information is useful for debugging data and transformations, auditing, evaluating the quality of and trust in data, modelling authenticity, and implementing access control for derived data. ...
-Big Data analytics systems tend to make the distribution of data and processing transparent to provide simpler programming models. ...
doi:10.1007/978-3-642-53974-9_7
fatcat:zjoio7iemre57ktgvzzssqs7lm
SmartX Multi-View Visibility Framework with Flow-Centric Visibility for SDN-Enabled Multisite Cloud Playground
2019
Applied Sciences
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Flow-centric visibility design has five main components (1) a lightweight network packets-precise flows visibility collection component, (2) a visibility data aggregation and tagging component, (3) a multi-layer ...
Furthermore, a prototype implementation of SmartX MVF with flow-centric visibility is deployed in an SDN-enabled multisite cloud playground to verify the proposed multi-view visibility of fine-grained ...
For systematic processing of visibility data, SmartX MVF employs the Apache Spark analytics engine [39] . ...
doi:10.3390/app9102045
fatcat:7zzl3qmt7jd3tlrmii556bmum4
Extending Data Quality Management for Smart Connected Product Operations
2019
IEEE Access
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This research provides and alternative framework of data quality management as a process-centric approach to improve the quality of IoT data. ...
Therefore, traditional data-centric approaches that analyze sensor data and correct their errors are not enough to preserve, in long-term basis, adequate levels of quality of IoT data. ...
., underlying processes that manage data are ignored. In order to mitigate the drawbacks of the data-centric approach, the process-centric approach that can sustain high data quality is used. ...
doi:10.1109/access.2019.2945124
fatcat:qsibvxw4anhlvhmmcllo3ob57m
Decentralized orchestration of data-centric workflows in Cloud environments
2013
Future generations computer systems
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Moreover, we take advantage of the OMS architecture to deploy and execute data-centric workflows in a decentralized manner across multiple distinct Cloud resources, avoiding limitations of all data passing ...
Data-centric and service-oriented workflows are commonly used in scientific research to enable the composition and execution of complex analysis on distributed resources. ...
In service orchestration, there is a centralized engine that controls the whole process including control flow as well as data flow. ...
doi:10.1016/j.future.2013.01.008
fatcat:tpmgbwshajc6dfbhl7h73qlc5i
Realising Data-Centric Scientific Workflows with Provenance-Capturing on Data Lakes
2022
Data Intelligence
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The most common architecture implementing this conceptual organisation is the zone architecture, where data is assigned to a certain zone depending on the degree of processing. ...
, an overarching data governance, or the integration with (high-performance) processing capabilities. ...
ACKNOWLEDGEMENTS We acknowledge funding by the "Niedersächsisches Vorab" funding line of the Volkswagen Foundation. ...
doi:10.1162/dint_a_00141
fatcat:t2w5qaoobfh6rnnofzr65lng4a
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