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empirical data

Empirical data analysis:a new tool for data analytics

Empirical data analysis:a new tool for data analytics

... novel empirical data analysis approach (abbreviated as EDA) is introduced which is entirely data-driven and free from restricting assumptions and pre- defined problem- or user-specific parameters and ...

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Empirical Data and Automatic Analysis

Empirical Data and Automatic Analysis

... EMPIRICAL DATA AND AUTOMATIC ANALYSIS COLING 82, 3" Horeckf~ (ed ) North Holland Publishing Company @ Acedemi~ 1982 EMPIRICAL DATA AND AUTOMATIC ANALYSIS F e r e n c P a p p S l a v i c D e p a r t m[.] ...

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Merging expert and empirical data for rare event frequency estimation : pool homogenisation for empirical Bayes models

Merging expert and empirical data for rare event frequency estimation : pool homogenisation for empirical Bayes models

... Bayesian methods are widely used in PRA (Kelly and Smith 2009) and allow the empirical data to be balanced against the subjective beliefs of experts. Practical examples of the use of full Bayes methods are ...

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Empirical data analytics

Empirical data analytics

... to data analysis which is based entirely on the empirical observations of discrete data samples and the relative proximity of these points in the data ...the data generation model as ...

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A revised Kruithof graph based on empirical data

A revised Kruithof graph based on empirical data

... This article examined evidence for a relationship between illuminance and CCT leading to illumination conditions likely to be considered as pleasing. It was first suggested that Kruithof’s [1941] evidence for such a ...

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Empirical Data and Emerging Power Critiques: Lessons Learned

Empirical Data and Emerging Power Critiques: Lessons Learned

... the data. Empirical studies on the use of technology in education don’t always take the pervasiveness of power dynamics into ...original empirical study are ...

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III. METRICS SET AND EMPIRICAL DATA COLLECTION

III. METRICS SET AND EMPIRICAL DATA COLLECTION

... reusability, Data hiding and message-passing. Data was collected from a project based on object oriented paradigms to calculate the metrics, which was developed using a sequential life cycle ...

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Empirical Data from Mobile and IP Telephony

Empirical Data from Mobile and IP Telephony

... Compared to previous measurements it can be seen in Figure 6 that the average call holding time is significantly lower during the daytime than at evenings and nights. As can be observed from the coefficient on variation ...

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An Empirical Data Cleaning Technique for CFDs

An Empirical Data Cleaning Technique for CFDs

... called data cleansing deals with detecting and removing errors and inconsistencies from data in order to improve the quality of ...of data are present in single data collections and those are ...

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A Framework of Data Warehouse Systems Success: An Empirical Study

A Framework of Data Warehouse Systems Success: An Empirical Study

... Most empirical studies related to DW success models have dealt with original D&M [44] model rather that the updated D&M [45] ...DW: data quality, system quality, and perceived net ...and data ...

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An Empirical Model of Data Deduplication Technique over Cloud

An Empirical Model of Data Deduplication Technique over Cloud

... an empirical model of data deduplication technique over cloud ...for data owners and End ...the data components without violating privacy and privileges or access permissions of the while ...

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An Empirical Study of Data Visualization Techniques in PACS Design

An Empirical Study of Data Visualization Techniques in PACS Design

... an empirical study of multidimensional visualization ...useful data regarding the relative merits of visualization techniques for the considered narrow use-case, which can then be generalized to other ...

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An Empirical Evaluation of Data Driven Paraphrase Generation Techniques

An Empirical Evaluation of Data Driven Paraphrase Generation Techniques

... Despite all of the previous research, there have not been any evaluations comparing the quality of simple and sophisticated data-driven approaches for generating paraphrases. Evaluation is not only im- portant ...

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Towards an Empirical Evaluation of Scientific Data Indexing and Querying

Towards an Empirical Evaluation of Scientific Data Indexing and Querying

... scientific data coming out of libMesh and in-memory data extracted using ParaView Catalyst; and (ii) provenance query processing considering the dataflow paths generated by the computational ...scientific ...

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AN EMPIRICAL STUDY OF APPLICATIONS OF DATA MINING IN EDUCATIONAL FIELD

AN EMPIRICAL STUDY OF APPLICATIONS OF DATA MINING IN EDUCATIONAL FIELD

... of data mining like Classification, Clustering, Regression, Artificial Intelligence, Neural Networks, Association Rules, Decision Trees, Genetic Algorithm, Nearest Neighbor method ...of data mining in ...

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Empirical Likelihood Quantile Regression for Right-Censored Data

Empirical Likelihood Quantile Regression for Right-Censored Data

... Owen (1988) has shown that for sample mean, M-estimators and differentiable statis- tical functionals in 1-dimension, confidence intervals for the maximum empirical like- lihood estimator (MELE) asymptotically ...

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Data Quality in Empirical Software Engineering: A Targeted Review

Data Quality in Empirical Software Engineering: A Targeted Review

... in empirical software engineering (ESE) is heavily reliant on the quality of the data used in building those ...Several data quality challenges such as noise, incompleteness, outliers and duplicate ...

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Smoothed Empirical Likelihood Inference for ROC Curves with Missing Data

Smoothed Empirical Likelihood Inference for ROC Curves with Missing Data

... Empirical likelihood (EL) is a useful nonparametric statistical inference method which does not need to as- sume a known family of distributions (see Owen [3]). Owen [4,5] originally proposed EL confidence regions ...

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An Empirical Study on Data Center System Failure Diagnosis

An Empirical Study on Data Center System Failure Diagnosis

... of data center implementation, past system simulation and system failure diagnosis are bases for designing a new data ...improving data center system reliability/ ...A data center is a complex ...

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Sensitivity Analyses in Empirical Studies Plagued with Missing Data

Sensitivity Analyses in Empirical Studies Plagued with Missing Data

... of empirical research chooses to omit any sensitivity analysis ...missing data (NRC-Panel 2010, ...missing data mechanism should be a mandatory component of ...missing data on reported ...

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