Coding, categorising and conceptualising the data. This
Categorising major cardiovascular disease hospitalisations from routinely collected data
... In particular, it is common for all codes at the chapter level to be used to identify ‘All CVD’ or ‘All circulatory disease’ hospitalisations. 10-12 However, this results in a heterogeneous category that combines common ...
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A big data methodology for categorising technical support requests using Hadoop and Mahout
... for data to be processed by the Mahout clustering algorithms, it must first be converted to vector ...support data stored in HDFS is converted into vectors using Mahout’s existing command line for ...
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Defining and conceptualising data harmonisation: a scoping review protocol
... Harmonised data sets also have the potential to improve informational support for health management decision- making and, in turn, support health systems strengthening [9, ...However, data harmonisation ...
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Categorising YouTube. Thomas Mosebo Simonsen
... statistical data and it is by this means possible to investigate a video’s statistical ...statistical data of each video, but a random check of the different videos from the sample, which will be analysed ...
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Fractional polynomial and restricted cubic spline models as alternatives to categorising continuous data: applications in medicine
... To bridge this gap, this chapter assessed and compared the performance of categorisation, linearisation, FP and RCS methods based on different exposure-outcome relationships (with predetermined thresholds or turning ...
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Coding of non-text data
... “non-text” data that can be found on social media, such as videos and ...and coding these non-text documents and their associated ...non-text data to continue advancing research in this emerging and ...
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Coding and Patterns of Data Streams
... and data compression processes to support Interactive TV, Telecooperation and Hypermedia ...mobile data access that supports web browser, a video player and a speech recognition system is characterized in ...
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Coding of non-text data
... media data, or for non-text data in ...Visual data is perhaps more complex to decipher than printed text, but both are necessary and one informs the ...
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Conceptualising a consumer data intelligence service in perspective of the European Union’s PSD2
... financial data, the EC is opening the financial services industry and levelling the playing ...financial data becomes a strategic asset and allow businesses to connect with customers in new ...New ...
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Conceptualising the surveillance of teachers
... and data entry of pupil progress become conjoined with senior management evaluations derived from teaching observations, learning walks and data ...of data in the surveillance of teachers with each ...
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Conceptualising the surveillance of teachers
... and data entry of pupil progress become conjoined with senior management evaluations derived from teaching observations, learning walks and data ...of data in the surveillance of teachers with each ...
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Exploring and conceptualising attestation
... this data structure is to use an extended version of a diagrammatic logic, called concept diagrams [8], which has a formal syntax and semantics and they form a second-order dyadic logic ...
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Categorising social tags to improve folksonomy-based recommendations
... 6.1 Data collection For the purposes of automatic tag categorisation and folksonomy-based item recommendation, we collected live data from the Flickr social ...when categorising social ...
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Categorising Interaction between Teachers and Students in ESOL Classrooms
... 16.1% of interaction belongs to students' talks pertaining to teachers' questions. Kearsley (1999) stated that although it is a widely held belief that a high level of interaction is desirable and positively affects that ...
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The Conundrum of Categorising Requirements: Managing Requirements for Learning on the Move
... Figure 1: Museum strand requirements The disadvantage of this technique is the need to introduce an additional piece of data to every requirement when a new categorisation scheme is adopted. Mitigating this ...
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Coding techniques for data storage systems
... user’s data from the aggregate system ...the coding sub-system, but they largely fail in providing sufficient insight that would assist the synthesis of good ...that Coding Theory has already ...
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Out in the Open: Finding and Categorising Errors in the Lexical Simplification Pipeline
... Table 1: The raw error data, showing the number of errors assigned to each type. In total, 183 simplification operations were identified. 164 of these resulted in some form of error. the transcript of the ...
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Conceptualising an Organisational Innovation Capability
... 77 each business unit were interviewed to ensure that the observations associated with a single informant were minimised and to provide greater confidence in the evidence collected. Internal validity is important for ...
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Conceptualising the integration-transnationalism nexus
... remittance data overall, including for most corridors is scarce and ...relevant data from different sources: balance of payments data, data from central bank or other regulatory agencies, ...
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Categorising Social Media Business Risks
... Phases 1 and 2 provide the foundation for addressing RO1, to identify and explain the risks and issues of social media in organisations. Phase 1: Risk Identification. In the first phase of the study an in-depth analysis ...
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