Data processing and selection
A FRAMEWORK FOR MANAGEMENT OF DISTRIBUTED DATA PROCESSING AND EVENT SELECTION FOR THE ICECUBE NEUTRINO OBSERVATORY
... and data processing for IceCube requires a significant amount of computational ...and processing of data produced by the IceCube detector upon arrival in the northern ...
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2. Projection, selection and join operations. Witold Rekuć Data Processing Technology 29
... from Companies inner join Cities on Companies.[City Id]=Cities.Id where Companies.Telephone is Null;. select Invoices.Id, Companies.Name, Invoices.Date from[r] ...
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Methods and tools for processing semi-structured data on the example of accounting for education in the selection of personnel in the IT industry
... The analysis shows that in general, the objects of activity of the graduates of the second group are mathematical and algorithmic models, simulation models of complex management processes, etc., and the graduates of ...
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Training Data Selection and Update for Airborne Post-Doppler Space-Time Adaptive Processing
... training data selection and update are crucial steps for the space-time adaptive processing (STAP) operation, since contaminated training data result in a decreased clutter suppression ...
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SELECTION SCREENS AND LIST PROCESSING EVENTS
... Retrieving values from selected line When list is output, HIDE can be used to designate values that will be passed on (called a data transport) when line is selected. The data object to be hidden may or may ...
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Systematic selection of downstream processing techniques
... Performance and high initial contaminant level are somewhat difficult to interpret as high purification factors may only be a purification which may be maximally achieved. Figure 3.3. refers to the result in terms of ...
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High availability of data using Automatic Selection Algorithm (ASA) in distributed stream processing systems
... automatic selection algorithm chooses the most appropriate recovery algorithm related to specific type of failures from a set of available algorithms during the real-time failure scenarios, which increases the ...
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Selection of data modulation techniques in spread spectrum systems using modified processing gain definition
... The sampling theorem has many versions, and its different versions can be interpreted as different coordinate systems. It is easy to show that D depends on the coordinate system. For example, the unique discrete-time ...
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Partial Parse Selection for Robust Deep Processing
... speech data. 76.1% of the unparsed data was independently found to contain speaker errors and disfluencies, and the remaining data either contained filled pauses or other structures unaccounted for ...
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Parallel Processing for Faster ARIMA Model Selection
... This gives us a general guideline of checking a number of models on the order of 5 4 2 2 = 5184 (or debatably 10 4 2 2 = 58564). This can not be done by hand. And this is with just one form of seasonality! Consider ...
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Data source Data Selection Data Cleaning
... The proposed system collects patient’s medical history as input and predicts the risk of chronic disease with the condition score, which may help to the clinical team to select optimal solution. The proposed system ...
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A review of channel selection algorithms for EEG signal processing
... channel selection. They used two different data- sets, an imagery-based cursor movement control dataset and a motor imagery tasks dataset for ...the data with a sampling rate of 200 ...recording ...
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Review of Feature Selection Methods in Medical Image Processing
... features selection method of medical image ...feature selection technique which is widely used for data mining and knowledge discovery and it allows elimination of (irrelevant/redundant) features, ...
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Robust Estimation and Model Order Selection for Signal Processing
... Order Selection for Tensor Data) 35 frequency, and ...multi-dimensional data lies in the identifiability due to the higher rank of the multi-dimensional ...order selection criteria [60] to the ...
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Data Processing
... • Data processing consists of those activities which are necessary to transform data into information. • Man has in course of time devised certain tools to help him in processing data. ...
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A. Data Selection
... Abstract—The issue of modelling and forecasting the share prices of the banking sector remains a challenge because of high volatilities in individual stock prices. Reliably forecasting the future values of shares is ...
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data processing and analysis of data
... – If X is the independent variable and Y is the dependent variable then, the regression equation of Y on X is given as below.. • In case of multivariate population: – Correlation [r] ...
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Creativity: Intuitive processing outperforms deliberative processing in creative idea selection
... idea selection, intuitive processing may lead to a more accurate evaluation of ideas and result in the preference of high-quality original ideas relative to mainstream ...intuitive processing ...
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An alloy selection and processing framework for nanocrystalline materials
... Figure 48: 0 K equilibrium microstructures as calculated by the Monte Carlo simulation. Systems above AHseg = 40 kJ/mol are expected to satisfy the stability criterion.[r] ...
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Seismic Data Processing
... to data: poor quality due to low S/N ratio, can only cover reflections until ~3000 ms • Gain recovery is necessary to bring up the amplitude decay at late travel time due to attenuation of earth layer and ...
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