Application to Data Analysis
Application of spectral methods in economic data analysis
... If APPLICATION OF SPECTRAL METHODS IN ECONOMIC DATA ANALYSIS by Richard Deane Terrell A Thesis presented to the Australian National University for the Degree of Doctor of Philosophy The results presen[.] ...
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Application of Data Mining in Census Data Analysis using Weka
... manual data analysis is also efficient but it becomes cumbersome when it comes to large sized ...of data mining were concerned with the educational system where the attributes of teachers and numeric ...
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Application of Multi Panel Scatter Plot in Data Analysis
... The typical expression for the xyplot() function is: y~x|A. In the above expression, the variables on the left of vertical line (also called pipe symbol) is called the main variables, and the right is called the ...
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Application of Kalman filtering in VLBI data analysis
... The results presented in the “Results and discussion” section clearly demonstrate the advantages of VLBI data analysis with a Kalman filter. For all of the parameters investigated, the precision of the ...
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Application of EM algorithm on missing categorical data analysis
... Algoritma EM merupakan salah satu daripada kaedah untuk menyelesaikan masalah berkaitan dengan data tidak lengkap berdasarkan kepada satu rangka lengkap. Algorithma EM merupakan satu pendekatan parametrik untuk ...
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Application of Mathematical Statistics Analysis Algorithm for Chemical Data
... process data is analyzed by variance, the least square algorithm and then comparing the original data and processed data in ...processed data is easier for operators to observe and find out ...
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Analysis and Application of Campus Student Location Data
... location data every day. By analyzing rules found in these data, it was found that the regularities can not only provide individualized service for students, but also facilitate the management of students ...
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Big Data Analysis on WSN for Risk Analysis on Different Data
... ―big data‖ was then introduced and corresponding ecosystems of big data are developed, contending as well as collaborating with each other to become the new standard ...big data systems can be viewed ...
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Data analysis considerations
... very small fraction of the time over which they are intended to estimate the cumulative emissions (month, season, year). Consequently, it is crucial to select an adequate number and time of sampling events when linear ...
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Application of circular regression analysis on biological data: case study on malaria cases in district of visakhapatnam, india
... which data collection methods have been described in ...malaria data were collected from the district for the2005-2011 ...their data analysis since their objective is time series like ...
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Big Data Architectures: A Detailed and Application Oriented Analysis
... real-time data analysis through the ad-hoc querying of real-time views and historical data analysis ...recent data from the speed layer once committed to the immutable dataset in the ...
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Instrumente de business intelligence pentru monitorizarea vanzarilor
... Abstract. The managerial structures need a powerful instrument for measuring, monitoring and tracking down the key business processes. Under harsh competitive conditions, managers are now forced to solve complex ...
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Automated Probabilistic System Architecture Analysis in the Multi-Attribute Prediction Language (MAPL): Iteratively Developed using Multiple Case Studies
... incorporate analysis of multiple quality ...support analysis of accuracy, coupling, size or ...Tradeoff Analysis Method (ATAM) ...cost analysis in ATAM the Software Engineering Institute (SEI) ...
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Application of Conjoint Analysis to Customers’ Preference of Soap
... conjoint analysis, the respondent may be asked to arrange a list of combinations of product attributes in decreasing order of ...conjoint analysis is that it asks the respondent to make choices in the same ...
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Big Data-based the Smart Grid Application Analysis
... At present, more research on steady-state voltage stability prediction focuses on voltage stability margin (Voltage Stability Margin, VSM) online prediction, which is generally obtained by Continues Power Flow ...
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1. Context-Dependent Data Envelopment Analysis and an Application
... envelopment analysis is a nonparametric method which does not require an assumption about the functional ...the data envelopment analysis which is a mathematical programming ...
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Application of Fuzzy Data Envelopment Analysis in Decision Making
... Envelopment analysis (DEA) may be a strategy able of assessing the productivity of decision making units (DMUs) in utilizing numerous inputs to deliver numerous yields; thus, it is broadly connected in assessing ...
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Review on ‘Big Data Sentiment Analysis’
... observed data and past knowledge if ...large data sets, includes noise and considers all possible cases; this is used for Twitter Sentiment Analysis and to classify tweets among all possible classes ...
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Real data application and analysis for evaluating several sub models of generalized jelinski moranda formula
... Furthermore, applying several estimation methods (see e.g. Kapur et al. (1999), Pham (Pham, 2000) and Xie (1991) can be another mechanism that may help at choosing the best performance estimators that increases the ...
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International Journal of Computer Science and Mobile Applications
... structural data which is in form of rows and ...sql data, xml files, oracle data and many more. Whereas, in big data the data could be in any form[6] ...unstructured data such as ...
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