Approaches taken for the data analysis
Three Approaches to Data Analysis with Hadoop
... 9 Three Approaches to Data Analysis with Hadoop Most of the action occurs in the GeoWebMapper.java mapper class. First a hash map, ip_locs, is created to contain the IP addresses and their associated ...
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New approaches in network data analysis
... network data for social events is described by De Nooy ...are taken into account by applying a multilevel logistic regres- sion analysis approach based on a General Linear (Mixed) Model ...survival ...
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A Comparative Analysis of Data Cleaning Approaches to Dirty Data
... “green” replaced by “rgeen”,”1” replaced by “l”,typographical or phonetic errors. Some fields also have numerical constraints like weight cannot be “negative”, people cannot have “more than two parents”, a human cannot ...
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Approaches to be taken by the contestants are not prescribed and may include novel sensing and data processing technologies, amongst others.
... detection. Approaches to be taken by the contestants are not prescribed and may include novel sensing and data processing technologies, amongst ...
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International review of approaches countries have taken to integrate National Health and Social Care Data Collections
... 28 4.5.2 National Collections Annual Maintenance Project The National Collections Annual Maintenance Project (NCAMP) has been in operation for approximately ten years, allowing changes to the National Collections System ...
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An Analysis of Data Mining Approaches For Learning pattern
... and females accepted different kinds of leaning styles. Thus, learning action should be designed and supported among both male and female students in order to enhance their creativity, knowledge and innovation. However, ...
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Network Theory Approaches for the Analysis of Ordered Data.
... We have thus computed I VG c (w) for all 35 companies in our dataset. All values obtained comply with the presence of VG irreversibility, as finite-size irreversibility values (for window size n = 5000) are generally ...
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Data Mining Approaches to Criminal Career Analysis
... IX. C ONCLUSION AND F UTURE D IRECTIONS In this paper we demonstrated the applicability of data mining in the field of criminal career analysis. The tool we described compiled a criminal profile out of the ...
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A Comparison of Approaches to Large-Scale Data Analysis
... Aster Data, Netezza, DATAl- legro (and therefore soon Microsoft SQL Server via Project Madi- son), Dataupia, Vertica, ParAccel, Neoview, Greenplum, DB2 (via the Database Partitioning Feature), and Oracle (via ...
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A Comparison of Approaches to Large-Scale Data Analysis
... – Understand differences in load and query time for some common data processing tasks. for some common data processing tasks – Choose representative set of tasks that:[r] ...
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Analysis of Data Cleansing Approaches regarding Dirty Data – A Comparative Study
... In order to achieve this, five major transformations are discussed in the paper. These transformations are mapping, viewing, matching, clustering, and merging. According to [8], the mapping transformation standardizes ...
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Novel pattern recognition approaches for transcriptomics data analysis
... genomics data analysis based on multi-level thresholding approach, such as OMTG for sub-grid and spot detection in DNA microarrays, and OMT for detecting significant regions based on next generation ...
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Statistical approaches for resting state fMRI data analysis
... causality analysis, and dynamic causal ...bivariate analysis would lead to the detection of many false positives, while a fully multivariate analysis could lead to computational problems due to the ...
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Novel Machine Learning Approaches for Neurophysiological Data Analysis
... 4.3.2 Baseline To the best of our knowledge, LeMoNADe is the first method ever to detect video motifs with temporal structure directly in calcium imaging data. As a consequence, there are no existing baselines to ...
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AN ANALYSIS AND COMPARISON OF DATA DEDUPLICATION APPROACHES TO EFFICIENT STORAGE
... in data deduplication, which saves more storage space in storage ...redundant data at the file or chunk level and identifies duplicate data using fingerprint ...between data deduplication and ...
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Critical Analysis of Divergent Approaches to Protection of Personal Data
... personal data generated on internet at residence and in motion within and across the border is a cause of ...divergent approaches to this issue mainly due to varying socio-cultural ...over data is ...
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Risk Analysis Approaches to Rank Outliers in Trade Data
... trade data outliers ranking methods with the objective to prioritize anti-fraud investigation ...risk analysis framework was used to develop a ranking structure based only on available statistical ...
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Classification approaches for microarray gene expression data analysis
... 1.4 Classification Techniques In the current study, we deal with a classification problem which focuses on dividing the samples of four microarray datasets into two categories. Any classification method uses a set of ...
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Adaptive Robust Regression Approaches in data analysis and their Applications
... and asymptotic normality have been derived. However, it has not been widely used until recently. One of the major reasons is the computational complexity of the approximate algorithms. Exact computation of the estimator ...
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Novel pattern recognition approaches for transcriptomics data analysis
... genomics data analysis based on multi-level thresholding approach, such as OMTG for sub-grid and spot detection in DNA microarrays, and OMT for detecting significant regions based on next generation ...
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