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Practical Ontology Selection and Evaluation Data Analysis

Performance Evaluation of Gene based Ontology          Using Attribute Selection Methods

Performance Evaluation of Gene based Ontology Using Attribute Selection Methods

... senescence data gathered from four model organisms which are lumbricina (worm), saccharomyces (yeast), diptera (fly), and mus ...attribute selection methods are proposed which uses the Support Vector ...

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Deriving an Australian marine ontology from existing ontological models: a practical evaluation

Deriving an Australian marine ontology from existing ontological models: a practical evaluation

... that data extracted from a database could be associated with multiple metadata records, depending on the granularity with which the data provider constructed his/her metadata records and their data ...

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Gene ontology analysis for RNA seq: accounting for selection bias

Gene ontology analysis for RNA seq: accounting for selection bias

... GO analysis for microarray data, the null proba- bility distribution does not conform to a standard distri- bution, precluding an analytical solution for determining the probability of a category being ...

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Spermatogenesis-related Gene Selection with DNA microarray Data and Gene Ontology

Spermatogenesis-related Gene Selection with DNA microarray Data and Gene Ontology

... microarray data for spermatogenesis ...microarray data, we identified 2058 gradually up-regulated transcripts from four days to six months of testis ...

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Judgement and Analysis Rules for Ontology-driven Comparative Data Analysis in Data Warehouses

Judgement and Analysis Rules for Ontology-driven Comparative Data Analysis in Data Warehouses

... analyse data in data warehouses. Data warehouses organise data as multidimensional facts which typically repre- sent business ...the selection of different groups of ...visual ...

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Study, selection and evaluation of an IoT platform for data collection and analysis for medical sensors

Study, selection and evaluation of an IoT platform for data collection and analysis for medical sensors

... all data during the whole experiment ...send data per second, it is possible to state that the platform performance with HBase for large amounts of data provides better results than the platform with ...

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Efficient Microservices Discovery and Selection Based on QoS Ontology a Data Mining Approach

Efficient Microservices Discovery and Selection Based on QoS Ontology a Data Mining Approach

... web ontology language (OWL) and ...used data mining concepts i.e . Association analysis and k-means clustering techniques to improve the service selection automation with the improved ...

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Bayesian Analysis of Network Data. Model Selection and Evaluation of the Exponential Random Graph Model

Bayesian Analysis of Network Data. Model Selection and Evaluation of the Exponential Random Graph Model

... model selection, ...the data is predicted in order to evaluate the goodness-of-t of the ...ERGM selection as the observations within a network are not ...training data could dramatically ...

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Critical Evaluation of Investment Analysis: A Practical Approach of Investors

Critical Evaluation of Investment Analysis: A Practical Approach of Investors

... primary data, an exploratory in nature, was conducted in Nanded city of ...The selection of the respondents was governed by the principles purposive ...primary data is collected from various ...

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Ontology management and selection in re use scenarios

Ontology management and selection in re use scenarios

... community-based, practical ontology selection and evaluation processes there were four key stages in the overall ...community-based ontology developers who could later provide insight ...

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Evaluation Analysis In Data Mining

Evaluation Analysis In Data Mining

... initial selection of tools and ...using data about ...the data spark was used to build the model in respective to properly interpret the results when the model is ...placement data to build a ...

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Practical Experiences with Modern Parallel Performance Analysis Tools: An Evaluation

Practical Experiences with Modern Parallel Performance Analysis Tools: An Evaluation

... containing data from many nodes can overwhelm users with too much ...performance data directly related to MPI communication means that MPE and Jumpshot cannot be used with non-MPI programs unless a lot of ...

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Practical update management in ontology-based data access

Practical update management in ontology-based data access

... to data source clients, such update is transparent to ...for ontology-level updates, presents some further ...the ontology entails that C and D are ...

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Practical update management in ontology-based data access

Practical update management in ontology-based data access

... to data source clients, such update is transparent to ...for ontology-level updates, presents some further ...the ontology entails that C and D are ...

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Practical Data Analysis

Practical Data Analysis

... of data analysis tools on a diverse set of problem ...conduct data analysis and move From Data to Information, and from Information to ...

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A practical exploration of ontology interoperability

A practical exploration of ontology interoperability

... two ontology formats as it supports Description Logic (The ‘DL’ in OWL DL), given the previous correspondence between CG and DL ...inter ontology transfer of data over the Web, a simple functionality ...

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Practical Selection Guide

Practical Selection Guide

... Widely used in laboratories of all kinds, mechanical pipettes are long-lasting tools. Because they are used for several hours a day, ergonomics and personal preferences - such as handling comfort – are important ...

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Practical Machine Learning and Data Analysis

Practical Machine Learning and Data Analysis

... The purpose of data analysis and data mining is to extract answers and useful patterns, such as regularities and rules, in data. These patterns can then be exploited in making predictions, ...

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SOME PRACTICAL ASPECTS OF DATA ANALYSIS

SOME PRACTICAL ASPECTS OF DATA ANALYSIS

... instead of FREE or FIXED). If data has been collected in digital form (e.g., Qualtrics, E- Prime, ...), then the issue is simply getting the data into SPSS. Such programs may produce a text file and the ...
Gene ontology driven feature selection from microarray gene expression data

Gene ontology driven feature selection from microarray gene expression data

... Al- though this technology enables us to measure gene expression levels of thousands of genes in a single chip, the cost of a chip is high and consequently the nu[r] ...

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