[PDF] Top 20 Traceability and provenance in big data medical systems

... A provenance analysis mechanism will be built on top of the data that has been captured in ...the data that has been produced, classify and reason from the information accumulated and present it to ... See full document

... for provenance management in CMS and N4U we are currently considering its use for long-term data preservation in HEP (or ...advanced traceability and solid reproducibility to HEP analysis ...level ... See full document

... particular data and workflow provenance, is an important concern within the area of computer ...underlying provenance model compliant with semantic web ...for provenance information ...Grid; ... See full document

... other. Provenance-based traceability provides a mean to address part of this problem by being able to capture and query events occurred in the past to understand how and why it took ...current ... See full document

... CRISTAL provenance management tool to create analyses in the neuroscience ...are provenance aware) could be used in the HEP domain to support physicists’ complex data ...analysis data from one ... See full document

... provide big data provenance management solutions based on a set of customizable software modules that are back-ended by the CRISTAL Kernel for product and process ...business-critical data and ... See full document

... the data can be generated and stored as hard copy it has the capability to support a medical ...functions. Big data analytics has become the crucial problem in healthcare informatics such as ... See full document

... non-purpose-oriented data at the current time might include larger volumes of information and greater levels of spatial and temporal detail than have previously been available from traditional ...to big ... See full document

... of data to generate such observations and results does not come easy, nor ...appropriate systems and skilled manpower across the sector is ...unstructured data are available for utilisation by ... See full document

... CAD systems can assist them in diagnosing neurological diseases by providing useful ...CAD systems can make meaningless results to understand ...CAD systems, an improvement of machine learning ... See full document

... The criticism of network analysis is that while it can take into account social arrangements and knowledge transfer between firms; it doesn´t pay attention to vertical ties: that is, market relationships-which influence ... See full document

... utilize big data revolutionary and deep learning technologies on production lines to diagnose incidents and take proper ...manufacturing systems (RMS) have been widely used to reduce the setup cost ... See full document

... PROV data model provides a vocabulary for provenance information, it is likely that each provenance producer has its own “style” of writing provenance using the ...produce provenance ... See full document

... The popularity of big data is transforming the discussion of what is appropriate or right for a patient and right for the healthcare environment. In keeping with these changes, we have created a holistic, ... See full document

... 13-15 are very similar to disaster response problems. They involve extensive “Classic Data+ML” for sensor collections and/or image processing. GIS and spatial analysis are important as in BDEC2 Pathology and ... See full document

... simulating systems with 1000 of ions and induced charges from 1000 of hours to 10 of hours, yielding a maximum speedup of 3 from MLAutoTuning and a maximum speedup of 600 from the combination of ML and parallel ... See full document

... of data in the form of GIF’s, videos, sensors and other formats that need to be ...of data volumes will increase by 175 zeta bytes worldwide by ...of data as it is very expensive for software ... See full document

... External Sorting using Active SSDs in the MapReduce Framework’’ by Young-Sik Lee et al. [1], looks gaining an advantage in data intensive applications by using the capabilities of solid state drives (SSDs) to ... See full document

... a data-discovery tool for importing data from a wide variety of sources, including relational, semi-structured, and unstructured data available from sources such as OData, Hadoop, and Azure ...access ... See full document

... automated data collection system was launched to measure the status of the United States pacification campaign in the villages and hamlets of South ...other systems proved to be either limited in their ... See full document